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reports/daily/2026/05/daily_report_2026-05-10.html
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reports/daily/2026/05/daily_report_2026-05-10.html
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<!DOCTYPE html>
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||||
<html><head><meta charset="UTF-8"><title>LLM Hub - 2026-05-10</title>
|
||||
<style>
|
||||
body{font-family:-apple-system,BlinkMacSystemFont,sans-serif;max-width:1200px;margin:0 auto;padding:20px;background:#f5f5f5}
|
||||
.header{background:linear-gradient(135deg,#667eea,#764ba2);color:white;padding:30px;border-radius:10px;margin-bottom:20px}
|
||||
.card{background:white;border-radius:8px;padding:20px;margin-bottom:20px;box-shadow:0 2px 4px rgba(0,0,0,0.1)}
|
||||
.card h2{margin-top:0;color:#333;border-bottom:2px solid #667eea;padding-bottom:10px}
|
||||
table{width:100%;border-collapse:collapse;margin-top:15px}
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||||
th,td{padding:12px;text-align:left;border-bottom:1px solid #eee}
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||||
th{background:#f8f9fa;font-weight:600}
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.footer{text-align:center;color:#999;margin-top:40px;padding:20px}
|
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</style></head><body>
|
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<div class="header"><h1>🤖 LLM Intelligence Hub</h1><p>每日情报报告 - 2026-05-10</p></div>
|
||||
|
||||
<div class="card">
|
||||
<h2>📊 数据质量摘要</h2>
|
||||
<table><tr><th>指标</th><th>数值</th></tr>
|
||||
<tr><td>模型总数</td><td>14</td></tr>
|
||||
<tr><td>数据新鲜</td><td>12</td></tr>
|
||||
<tr><td>CNY定价</td><td>10</td></tr>
|
||||
<tr><td>USD定价</td><td>2</td></tr>
|
||||
<tr><td>厂商总数</td><td>13</td></tr>
|
||||
</table></div>
|
||||
|
||||
|
||||
<div class="card"><h2>💸 低价模型 TOP 10</h2>
|
||||
<table><tr><th>排名</th><th>模型</th><th>厂商</th><th>输入价格</th></tr>
|
||||
<tr><td>1</td><td>qwen/qwen3-vl-8b</td><td>阿里巴巴</td><td>$0.2</td></tr><tr><td>2</td><td>qwen/qwen3-vl-32b</td><td>阿里巴巴</td><td>$0.5</td></tr><tr><td>3</td><td>bytedance/doubao-pro</td><td>字节跳动</td><td>$0.8</td></tr><tr><td>4</td><td>deepseek/deepseek-v3</td><td>DeepSeek</td><td>$1</td></tr><tr><td>5</td><td>tencent/hunyuan-pro</td><td>腾讯</td><td>$1.5</td></tr><tr><td>6</td><td>deepseek/deepseek-r1</td><td>DeepSeek</td><td>$2</td></tr><tr><td>7</td><td>moonshotai/kimi-k2.5</td><td>月之暗面</td><td>$2</td></tr><tr><td>8</td><td>baidu/ernie-4.0</td><td>百度</td><td>$2</td></tr><tr><td>9</td><td>openai/gpt-4o</td><td>OpenAI</td><td>$2.5</td></tr><tr><td>10</td><td>zhipuai/glm-5.1</td><td>智谱AI</td><td>$3</td></tr>
|
||||
</table></div>
|
||||
|
||||
|
||||
<div class="footer"><p>📌 本报告由 LLM Intelligence Hub 自动生成</p></div>
|
||||
</body></html>
|
||||
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reports/daily/2026/05/daily_report_2026-05-10.md
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reports/daily/2026/05/daily_report_2026-05-10.md
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# 🤖 LLM Intelligence Hub - 每日情报报告
|
||||
|
||||
**报告日期**: 2026-05-10
|
||||
**生成时间**: 2026-05-10T18:31:19+08:00
|
||||
|
||||
## 📊 数据质量摘要
|
||||
|
||||
| 指标 | 数值 |
|
||||
|------|------|
|
||||
| 模型总数 | 14 |
|
||||
| 数据新鲜 | 12 |
|
||||
| 数据待补 | 2 |
|
||||
| CNY定价 | 10 |
|
||||
| USD定价 | 2 |
|
||||
| 厂商总数 | 13 |
|
||||
|
||||
## 🆓 免费模型 TOP 10
|
||||
|
||||
| 模型 | 厂商 | 上下文 |
|
||||
|------|------|--------|
|
||||
| anthropic/claude-3.5-sonnet:free | Anthropic | 200000 |
|
||||
|
||||
## 💸 低价模型 TOP 10
|
||||
|
||||
| 排名 | 模型 | 厂商 | 输入价格 |
|
||||
|------|------|------|----------|
|
||||
| 1 | qwen/qwen3-vl-8b | 阿里巴巴 | $0.2000 |
|
||||
| 2 | qwen/qwen3-vl-32b | 阿里巴巴 | $0.5000 |
|
||||
| 3 | bytedance/doubao-pro | 字节跳动 | $0.8000 |
|
||||
| 4 | deepseek/deepseek-v3 | DeepSeek | $1.0000 |
|
||||
| 5 | tencent/hunyuan-pro | 腾讯 | $1.5000 |
|
||||
| 6 | deepseek/deepseek-r1 | DeepSeek | $2.0000 |
|
||||
| 7 | moonshotai/kimi-k2.5 | 月之暗面 | $2.0000 |
|
||||
| 8 | baidu/ernie-4.0 | 百度 | $2.0000 |
|
||||
| 9 | openai/gpt-4o | OpenAI | $2.5000 |
|
||||
| 10 | zhipuai/glm-5.1 | 智谱AI | $3.0000 |
|
||||
|
||||
## 📏 大上下文模型 TOP 10
|
||||
|
||||
| 排名 | 模型 | 厂商 | 上下文长度 |
|
||||
|------|------|------|------------|
|
||||
| 1 | moonshotai/kimi-k2.6 | 月之暗面 | 256000 |
|
||||
| 2 | anthropic/claude-3.5-sonnet:free | Anthropic | 200000 |
|
||||
| 3 | zhipuai/glm-4.7 | 智谱AI | 128000 |
|
||||
| 4 | openai/gpt-4o | OpenAI | 128000 |
|
||||
| 5 | deepseek/deepseek-v4 | DeepSeek | 128000 |
|
||||
| 6 | zhipuai/glm-5.1 | 智谱AI | 128000 |
|
||||
| 7 | moonshotai/kimi-k2.5 | 月之暗面 | 128000 |
|
||||
| 8 | deepseek/deepseek-r1 | DeepSeek | 64000 |
|
||||
| 9 | deepseek/deepseek-v3 | DeepSeek | 64000 |
|
||||
| 10 | qwen/qwen3-vl-8b | 阿里巴巴 | 32000 |
|
||||
|
||||
---
|
||||
|
||||
📌 **说明**: 本报告由 LLM Intelligence Hub 自动生成。价格单位：USD/1M tokens。
|
||||
|
||||
_生成时间: 2026-05-10T18:31:19+08:00_
|
||||
33
reports/daily/2026/05/daily_report_2026-05-11.html
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reports/daily/2026/05/daily_report_2026-05-11.html
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|
||||
<!DOCTYPE html>
|
||||
<html><head><meta charset="UTF-8"><title>LLM Hub - 2026-05-11</title>
|
||||
<style>
|
||||
body{font-family:-apple-system,BlinkMacSystemFont,sans-serif;max-width:1200px;margin:0 auto;padding:20px;background:#f5f5f5}
|
||||
.header{background:linear-gradient(135deg,#667eea,#764ba2);color:white;padding:30px;border-radius:10px;margin-bottom:20px}
|
||||
.card{background:white;border-radius:8px;padding:20px;margin-bottom:20px;box-shadow:0 2px 4px rgba(0,0,0,0.1)}
|
||||
.card h2{margin-top:0;color:#333;border-bottom:2px solid #667eea;padding-bottom:10px}
|
||||
table{width:100%;border-collapse:collapse;margin-top:15px}
|
||||
th,td{padding:12px;text-align:left;border-bottom:1px solid #eee}
|
||||
th{background:#f8f9fa;font-weight:600}
|
||||
.footer{text-align:center;color:#999;margin-top:40px;padding:20px}
|
||||
</style></head><body>
|
||||
<div class="header"><h1>🤖 LLM Intelligence Hub</h1><p>每日情报报告 - 2026-05-11</p></div>
|
||||
|
||||
<div class="card">
|
||||
<h2>📊 数据质量摘要</h2>
|
||||
<table><tr><th>指标</th><th>数值</th></tr>
|
||||
<tr><td>模型总数</td><td>377</td></tr>
|
||||
<tr><td>数据新鲜</td><td>368</td></tr>
|
||||
<tr><td>CNY定价</td><td>0</td></tr>
|
||||
<tr><td>USD定价</td><td>377</td></tr>
|
||||
<tr><td>厂商总数</td><td>60</td></tr>
|
||||
</table></div>
|
||||
|
||||
|
||||
<div class="card"><h2>💸 低价模型 TOP 10</h2>
|
||||
<table><tr><th>排名</th><th>模型</th><th>厂商</th><th>输入价格</th></tr>
|
||||
<tr><td>1</td><td>openai/gpt-4o</td><td>Openai</td><td>$2.5</td></tr>
|
||||
</table></div>
|
||||
|
||||
|
||||
<div class="footer"><p>📌 本报告由 LLM Intelligence Hub 自动生成</p></div>
|
||||
</body></html>
|
||||
414
reports/daily/2026/05/daily_report_2026-05-11.md
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reports/daily/2026/05/daily_report_2026-05-11.md
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@@ -0,0 +1,414 @@
|
||||
# 🤖 LLM Intelligence Hub - 每日情报报告
|
||||
|
||||
**报告日期**: 2026-05-11
|
||||
**生成时间**: 2026-05-11T08:00:02+08:00
|
||||
|
||||
## 📊 数据质量摘要
|
||||
|
||||
| 指标 | 数值 |
|
||||
|------|------|
|
||||
| 模型总数 | 377 |
|
||||
| 数据新鲜 | 368 |
|
||||
| 数据待补 | 9 |
|
||||
| CNY定价 | 0 |
|
||||
| USD定价 | 377 |
|
||||
| 厂商总数 | 60 |
|
||||
|
||||
## 🆓 免费模型 TOP 10
|
||||
|
||||
| 模型 | 厂商 | 上下文 |
|
||||
|------|------|--------|
|
||||
| anthropic/claude-3.5-sonnet:free | Anthropic | 200000 |
|
||||
| deepseek/deepseek-r1 | Deepseek | 64000 |
|
||||
| moonshotai/kimi-k2.6 | Moonshotai | 262144 |
|
||||
| moonshotai/kimi-k2.5 | Moonshotai | 262144 |
|
||||
| inclusionai/ring-2.6-1t:free | Inclusionai | 262144 |
|
||||
| google/gemini-3.1-flash-lite | Google | 1048576 |
|
||||
| baidu/cobuddy:free | Baidu | 131072 |
|
||||
| openai/gpt-chat-latest | Openai | 400000 |
|
||||
| x-ai/grok-4.3 | X Ai | 1000000 |
|
||||
| ibm-granite/granite-4.1-8b | Ibm Granite | 131072 |
|
||||
| mistralai/mistral-medium-3-5 | Mistralai | 262144 |
|
||||
| openrouter/owl-alpha | Openrouter | 1048756 |
|
||||
| nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free | Nvidia | 256000 |
|
||||
| poolside/laguna-xs.2:free | Poolside | 131072 |
|
||||
| poolside/laguna-m.1:free | Poolside | 131072 |
|
||||
| ~anthropic/claude-haiku-latest | ~anthropic | 200000 |
|
||||
| ~openai/gpt-mini-latest | ~openai | 400000 |
|
||||
| ~google/gemini-pro-latest | ~google | 1048576 |
|
||||
| ~moonshotai/kimi-latest | ~moonshotai | 262144 |
|
||||
| ~google/gemini-flash-latest | ~google | 1048576 |
|
||||
| ~anthropic/claude-sonnet-latest | ~anthropic | 1000000 |
|
||||
| ~openai/gpt-latest | ~openai | 1050000 |
|
||||
| qwen/qwen3.5-plus-20260420 | Qwen | 1000000 |
|
||||
| qwen/qwen3.6-flash | Qwen | 1000000 |
|
||||
| qwen/qwen3.6-35b-a3b | Qwen | 262144 |
|
||||
| qwen/qwen3.6-max-preview | Qwen | 262144 |
|
||||
| qwen/qwen3.6-27b | Qwen | 262144 |
|
||||
| openai/gpt-5.5-pro | Openai | 1050000 |
|
||||
| openai/gpt-5.5 | Openai | 1050000 |
|
||||
| deepseek/deepseek-v4-pro | Deepseek | 1048576 |
|
||||
| deepseek/deepseek-v4-flash | Deepseek | 1048576 |
|
||||
| inclusionai/ling-2.6-1t | Inclusionai | 262144 |
|
||||
| tencent/hy3-preview | Tencent | 262144 |
|
||||
| xiaomi/mimo-v2.5-pro | Xiaomi | 1048576 |
|
||||
| xiaomi/mimo-v2.5 | Xiaomi | 1048576 |
|
||||
| openai/gpt-5.4-image-2 | Openai | 272000 |
|
||||
| inclusionai/ling-2.6-flash | Inclusionai | 262144 |
|
||||
| ~anthropic/claude-opus-latest | ~anthropic | 1000000 |
|
||||
| openrouter/pareto-code | Openrouter | 2000000 |
|
||||
| baidu/qianfan-ocr-fast:free | Baidu | 65536 |
|
||||
| anthropic/claude-opus-4.7 | Anthropic | 1000000 |
|
||||
| anthropic/claude-opus-4.6-fast | Anthropic | 1000000 |
|
||||
| z-ai/glm-5.1 | Z Ai | 202752 |
|
||||
| google/gemma-4-26b-a4b-it:free | Google | 262144 |
|
||||
| google/gemma-4-26b-a4b-it | Google | 262144 |
|
||||
| google/gemma-4-31b-it:free | Google | 262144 |
|
||||
| google/gemma-4-31b-it | Google | 262144 |
|
||||
| qwen/qwen3.6-plus | Qwen | 1000000 |
|
||||
| z-ai/glm-5v-turbo | Z Ai | 202752 |
|
||||
| arcee-ai/trinity-large-thinking | Arcee Ai | 262144 |
|
||||
| x-ai/grok-4.20-multi-agent | X Ai | 2000000 |
|
||||
| x-ai/grok-4.20 | X Ai | 2000000 |
|
||||
| google/lyria-3-pro-preview | Google | 1048576 |
|
||||
| google/lyria-3-clip-preview | Google | 1048576 |
|
||||
| kwaipilot/kat-coder-pro-v2 | Kwaipilot | 256000 |
|
||||
| rekaai/reka-edge | Rekaai | 16384 |
|
||||
| xiaomi/mimo-v2-omni | Xiaomi | 262144 |
|
||||
| xiaomi/mimo-v2-pro | Xiaomi | 1048576 |
|
||||
| minimax/minimax-m2.7 | Minimax | 196608 |
|
||||
| openai/gpt-5.4-nano | Openai | 400000 |
|
||||
| openai/gpt-5.4-mini | Openai | 400000 |
|
||||
| mistralai/mistral-small-2603 | Mistralai | 262144 |
|
||||
| z-ai/glm-5-turbo | Z Ai | 202752 |
|
||||
| nvidia/nemotron-3-super-120b-a12b:free | Nvidia | 262144 |
|
||||
| nvidia/nemotron-3-super-120b-a12b | Nvidia | 262144 |
|
||||
| bytedance-seed/seed-2.0-lite | Bytedance Seed | 262144 |
|
||||
| qwen/qwen3.5-9b | Qwen | 262144 |
|
||||
| openai/gpt-5.4-pro | Openai | 1050000 |
|
||||
| openai/gpt-5.4 | Openai | 1050000 |
|
||||
| inception/mercury-2 | Inception | 128000 |
|
||||
| openai/gpt-5.3-chat | Openai | 128000 |
|
||||
| google/gemini-3.1-flash-lite-preview | Google | 1048576 |
|
||||
| bytedance-seed/seed-2.0-mini | Bytedance Seed | 262144 |
|
||||
| google/gemini-3.1-flash-image-preview | Google | 65536 |
|
||||
| qwen/qwen3.5-35b-a3b | Qwen | 262144 |
|
||||
| qwen/qwen3.5-27b | Qwen | 262144 |
|
||||
| qwen/qwen3.5-122b-a10b | Qwen | 262144 |
|
||||
| qwen/qwen3.5-flash-02-23 | Qwen | 1000000 |
|
||||
| liquid/lfm-2-24b-a2b | Liquid | 32768 |
|
||||
| google/gemini-3.1-pro-preview-customtools | Google | 1048576 |
|
||||
| openai/gpt-5.3-codex | Openai | 400000 |
|
||||
| aion-labs/aion-2.0 | Aion Labs | 131072 |
|
||||
| google/gemini-3.1-pro-preview | Google | 1048576 |
|
||||
| anthropic/claude-sonnet-4.6 | Anthropic | 1000000 |
|
||||
| qwen/qwen3.5-plus-02-15 | Qwen | 1000000 |
|
||||
| qwen/qwen3.5-397b-a17b | Qwen | 262144 |
|
||||
| minimax/minimax-m2.5:free | Minimax | 196608 |
|
||||
| minimax/minimax-m2.5 | Minimax | 196608 |
|
||||
| z-ai/glm-5 | Z Ai | 202752 |
|
||||
| qwen/qwen3-max-thinking | Qwen | 262144 |
|
||||
| anthropic/claude-opus-4.6 | Anthropic | 1000000 |
|
||||
| qwen/qwen3-coder-next | Qwen | 262144 |
|
||||
| openrouter/free | Openrouter | 200000 |
|
||||
| stepfun/step-3.5-flash | Stepfun | 262144 |
|
||||
| arcee-ai/trinity-large-preview | Arcee Ai | 131000 |
|
||||
| upstage/solar-pro-3 | Upstage | 128000 |
|
||||
| minimax/minimax-m2-her | Minimax | 65536 |
|
||||
| writer/palmyra-x5 | Writer | 1040000 |
|
||||
| liquid/lfm-2.5-1.2b-thinking:free | Liquid | 32768 |
|
||||
| liquid/lfm-2.5-1.2b-instruct:free | Liquid | 32768 |
|
||||
| openai/gpt-audio | Openai | 128000 |
|
||||
| openai/gpt-audio-mini | Openai | 128000 |
|
||||
| z-ai/glm-4.7-flash | Z Ai | 202752 |
|
||||
| openai/gpt-5.2-codex | Openai | 400000 |
|
||||
| bytedance-seed/seed-1.6-flash | Bytedance Seed | 262144 |
|
||||
| bytedance-seed/seed-1.6 | Bytedance Seed | 262144 |
|
||||
| minimax/minimax-m2.1 | Minimax | 196608 |
|
||||
| z-ai/glm-4.7 | Z Ai | 202752 |
|
||||
| google/gemini-3-flash-preview | Google | 1048576 |
|
||||
| xiaomi/mimo-v2-flash | Xiaomi | 262144 |
|
||||
| nvidia/nemotron-3-nano-30b-a3b:free | Nvidia | 256000 |
|
||||
| nvidia/nemotron-3-nano-30b-a3b | Nvidia | 262144 |
|
||||
| openai/gpt-5.2-chat | Openai | 128000 |
|
||||
| openai/gpt-5.2-pro | Openai | 400000 |
|
||||
| openai/gpt-5.2 | Openai | 400000 |
|
||||
| mistralai/devstral-2512 | Mistralai | 262144 |
|
||||
| relace/relace-search | Relace | 256000 |
|
||||
| z-ai/glm-4.6v | Z Ai | 131072 |
|
||||
| nex-agi/deepseek-v3.1-nex-n1 | Nex Agi | 131072 |
|
||||
| essentialai/rnj-1-instruct | Essentialai | 32768 |
|
||||
| openrouter/bodybuilder | Openrouter | 128000 |
|
||||
| openai/gpt-5.1-codex-max | Openai | 400000 |
|
||||
| amazon/nova-2-lite-v1 | Amazon | 1000000 |
|
||||
| mistralai/ministral-14b-2512 | Mistralai | 262144 |
|
||||
| mistralai/ministral-8b-2512 | Mistralai | 262144 |
|
||||
| mistralai/ministral-3b-2512 | Mistralai | 131072 |
|
||||
| mistralai/mistral-large-2512 | Mistralai | 262144 |
|
||||
| arcee-ai/trinity-mini | Arcee Ai | 131072 |
|
||||
| deepseek/deepseek-v3.2-speciale | Deepseek | 163840 |
|
||||
| deepseek/deepseek-v3.2 | Deepseek | 131072 |
|
||||
| prime-intellect/intellect-3 | Prime Intellect | 131072 |
|
||||
| anthropic/claude-opus-4.5 | Anthropic | 200000 |
|
||||
| allenai/olmo-3-32b-think | Allenai | 65536 |
|
||||
| google/gemini-3-pro-image-preview | Google | 65536 |
|
||||
| x-ai/grok-4.1-fast | X Ai | 2000000 |
|
||||
| deepcogito/cogito-v2.1-671b | Deepcogito | 128000 |
|
||||
| openai/gpt-5.1 | Openai | 400000 |
|
||||
| openai/gpt-5.1-chat | Openai | 128000 |
|
||||
| openai/gpt-5.1-codex | Openai | 400000 |
|
||||
| openai/gpt-5.1-codex-mini | Openai | 400000 |
|
||||
| moonshotai/kimi-k2-thinking | Moonshotai | 262144 |
|
||||
| amazon/nova-premier-v1 | Amazon | 1000000 |
|
||||
| perplexity/sonar-pro-search | Perplexity | 200000 |
|
||||
| mistralai/voxtral-small-24b-2507 | Mistralai | 32000 |
|
||||
| openai/gpt-oss-safeguard-20b | Openai | 131072 |
|
||||
| nvidia/nemotron-nano-12b-v2-vl:free | Nvidia | 128000 |
|
||||
| minimax/minimax-m2 | Minimax | 196608 |
|
||||
| qwen/qwen3-vl-32b-instruct | Qwen | 131072 |
|
||||
| ibm-granite/granite-4.0-h-micro | Ibm Granite | 131000 |
|
||||
| microsoft/phi-4-mini-instruct | Microsoft | 128000 |
|
||||
| openai/gpt-5-image-mini | Openai | 400000 |
|
||||
| anthropic/claude-haiku-4.5 | Anthropic | 200000 |
|
||||
| qwen/qwen3-vl-8b-thinking | Qwen | 131072 |
|
||||
| qwen/qwen3-vl-8b-instruct | Qwen | 131072 |
|
||||
| openai/gpt-5-image | Openai | 400000 |
|
||||
| openai/o3-deep-research | Openai | 200000 |
|
||||
| openai/o4-mini-deep-research | Openai | 200000 |
|
||||
| nvidia/llama-3.3-nemotron-super-49b-v1.5 | Nvidia | 131072 |
|
||||
| baidu/ernie-4.5-21b-a3b-thinking | Baidu | 131072 |
|
||||
| google/gemini-2.5-flash-image | Google | 32768 |
|
||||
| qwen/qwen3-vl-30b-a3b-thinking | Qwen | 131072 |
|
||||
| qwen/qwen3-vl-30b-a3b-instruct | Qwen | 131072 |
|
||||
| openai/gpt-5-pro | Openai | 400000 |
|
||||
| z-ai/glm-4.6 | Z Ai | 204800 |
|
||||
| anthropic/claude-sonnet-4.5 | Anthropic | 1000000 |
|
||||
| deepseek/deepseek-v3.2-exp | Deepseek | 163840 |
|
||||
| thedrummer/cydonia-24b-v4.1 | Thedrummer | 131072 |
|
||||
| relace/relace-apply-3 | Relace | 256000 |
|
||||
| google/gemini-2.5-flash-lite-preview-09-2025 | Google | 1048576 |
|
||||
| qwen/qwen3-vl-235b-a22b-thinking | Qwen | 131072 |
|
||||
| qwen/qwen3-vl-235b-a22b-instruct | Qwen | 262144 |
|
||||
| qwen/qwen3-max | Qwen | 262144 |
|
||||
| qwen/qwen3-coder-plus | Qwen | 1000000 |
|
||||
| openai/gpt-5-codex | Openai | 400000 |
|
||||
| deepseek/deepseek-v3.1-terminus | Deepseek | 163840 |
|
||||
| x-ai/grok-4-fast | X Ai | 2000000 |
|
||||
| alibaba/tongyi-deepresearch-30b-a3b | Alibaba | 131072 |
|
||||
| qwen/qwen3-coder-flash | Qwen | 1000000 |
|
||||
| qwen/qwen3-next-80b-a3b-thinking | Qwen | 131072 |
|
||||
| qwen/qwen3-next-80b-a3b-instruct:free | Qwen | 262144 |
|
||||
| qwen/qwen3-next-80b-a3b-instruct | Qwen | 262144 |
|
||||
| qwen/qwen-plus-2025-07-28:thinking | Qwen | 1000000 |
|
||||
| qwen/qwen-plus-2025-07-28 | Qwen | 1000000 |
|
||||
| nvidia/nemotron-nano-9b-v2:free | Nvidia | 128000 |
|
||||
| nvidia/nemotron-nano-9b-v2 | Nvidia | 131072 |
|
||||
| moonshotai/kimi-k2-0905 | Moonshotai | 262144 |
|
||||
| qwen/qwen3-30b-a3b-thinking-2507 | Qwen | 131072 |
|
||||
| x-ai/grok-code-fast-1 | X Ai | 256000 |
|
||||
| nousresearch/hermes-4-70b | Nousresearch | 131072 |
|
||||
| nousresearch/hermes-4-405b | Nousresearch | 131072 |
|
||||
| deepseek/deepseek-chat-v3.1 | Deepseek | 32768 |
|
||||
| openai/gpt-4o-audio-preview | Openai | 128000 |
|
||||
| mistralai/mistral-medium-3.1 | Mistralai | 131072 |
|
||||
| baidu/ernie-4.5-21b-a3b | Baidu | 120000 |
|
||||
| baidu/ernie-4.5-vl-28b-a3b | Baidu | 30000 |
|
||||
| z-ai/glm-4.5v | Z Ai | 65536 |
|
||||
| ai21/jamba-large-1.7 | Ai21 | 256000 |
|
||||
| openai/gpt-5-chat | Openai | 128000 |
|
||||
| openai/gpt-5 | Openai | 400000 |
|
||||
| openai/gpt-5-mini | Openai | 400000 |
|
||||
| openai/gpt-5-nano | Openai | 400000 |
|
||||
| openai/gpt-oss-120b:free | Openai | 131072 |
|
||||
| openai/gpt-oss-120b | Openai | 131072 |
|
||||
| openai/gpt-oss-20b:free | Openai | 131072 |
|
||||
| openai/gpt-oss-20b | Openai | 131072 |
|
||||
| anthropic/claude-opus-4.1 | Anthropic | 200000 |
|
||||
| mistralai/codestral-2508 | Mistralai | 256000 |
|
||||
| qwen/qwen3-coder-30b-a3b-instruct | Qwen | 160000 |
|
||||
| qwen/qwen3-30b-a3b-instruct-2507 | Qwen | 262144 |
|
||||
| z-ai/glm-4.5 | Z Ai | 131072 |
|
||||
| z-ai/glm-4.5-air:free | Z Ai | 131072 |
|
||||
| z-ai/glm-4.5-air | Z Ai | 131072 |
|
||||
| qwen/qwen3-235b-a22b-thinking-2507 | Qwen | 131072 |
|
||||
| z-ai/glm-4-32b | Z Ai | 128000 |
|
||||
| qwen/qwen3-coder:free | Qwen | 262000 |
|
||||
| qwen/qwen3-coder | Qwen | 262144 |
|
||||
| bytedance/ui-tars-1.5-7b | Bytedance | 128000 |
|
||||
| google/gemini-2.5-flash-lite | Google | 1048576 |
|
||||
| qwen/qwen3-235b-a22b-2507 | Qwen | 262144 |
|
||||
| switchpoint/router | Switchpoint | 131072 |
|
||||
| moonshotai/kimi-k2 | Moonshotai | 131072 |
|
||||
| mistralai/devstral-medium | Mistralai | 131072 |
|
||||
| mistralai/devstral-small | Mistralai | 131072 |
|
||||
| cognitivecomputations/dolphin-mistral-24b-venice-edition:free | Cognitivecomputations | 32768 |
|
||||
| x-ai/grok-4 | X Ai | 256000 |
|
||||
| tencent/hunyuan-a13b-instruct | Tencent | 131072 |
|
||||
| morph/morph-v3-large | Morph | 262144 |
|
||||
| morph/morph-v3-fast | Morph | 81920 |
|
||||
| baidu/ernie-4.5-vl-424b-a47b | Baidu | 123000 |
|
||||
| baidu/ernie-4.5-300b-a47b | Baidu | 123000 |
|
||||
| mistralai/mistral-small-3.2-24b-instruct | Mistralai | 128000 |
|
||||
| minimax/minimax-m1 | Minimax | 1000000 |
|
||||
| google/gemini-2.5-flash | Google | 1048576 |
|
||||
| google/gemini-2.5-pro | Google | 1048576 |
|
||||
| openai/o3-pro | Openai | 200000 |
|
||||
| x-ai/grok-3-mini | X Ai | 131072 |
|
||||
| x-ai/grok-3 | X Ai | 131072 |
|
||||
| google/gemini-2.5-pro-preview | Google | 1048576 |
|
||||
| deepseek/deepseek-r1-0528 | Deepseek | 163840 |
|
||||
| anthropic/claude-opus-4 | Anthropic | 200000 |
|
||||
| anthropic/claude-sonnet-4 | Anthropic | 1000000 |
|
||||
| google/gemma-3n-e4b-it | Google | 32768 |
|
||||
| mistralai/mistral-medium-3 | Mistralai | 131072 |
|
||||
| google/gemini-2.5-pro-preview-05-06 | Google | 1048576 |
|
||||
| arcee-ai/spotlight | Arcee Ai | 131072 |
|
||||
| arcee-ai/maestro-reasoning | Arcee Ai | 131072 |
|
||||
| arcee-ai/virtuoso-large | Arcee Ai | 131072 |
|
||||
| arcee-ai/coder-large | Arcee Ai | 32768 |
|
||||
| meta-llama/llama-guard-4-12b | Meta Llama | 163840 |
|
||||
| qwen/qwen3-30b-a3b | Qwen | 40960 |
|
||||
| qwen/qwen3-8b | Qwen | 40960 |
|
||||
| qwen/qwen3-14b | Qwen | 40960 |
|
||||
| qwen/qwen3-32b | Qwen | 40960 |
|
||||
| qwen/qwen3-235b-a22b | Qwen | 131072 |
|
||||
| openai/o4-mini-high | Openai | 200000 |
|
||||
| openai/o3 | Openai | 200000 |
|
||||
| openai/o4-mini | Openai | 200000 |
|
||||
| openai/gpt-4.1 | Openai | 1047576 |
|
||||
| openai/gpt-4.1-mini | Openai | 1047576 |
|
||||
| openai/gpt-4.1-nano | Openai | 1047576 |
|
||||
| alfredpros/codellama-7b-instruct-solidity | Alfredpros | 4096 |
|
||||
| x-ai/grok-3-mini-beta | X Ai | 131072 |
|
||||
| x-ai/grok-3-beta | X Ai | 131072 |
|
||||
| meta-llama/llama-4-maverick | Meta Llama | 1048576 |
|
||||
| meta-llama/llama-4-scout | Meta Llama | 327680 |
|
||||
| deepseek/deepseek-chat-v3-0324 | Deepseek | 163840 |
|
||||
| openai/o1-pro | Openai | 200000 |
|
||||
| mistralai/mistral-small-3.1-24b-instruct | Mistralai | 128000 |
|
||||
| google/gemma-3-4b-it | Google | 131072 |
|
||||
| google/gemma-3-12b-it | Google | 131072 |
|
||||
| cohere/command-a | Cohere | 256000 |
|
||||
| openai/gpt-4o-mini-search-preview | Openai | 128000 |
|
||||
| openai/gpt-4o-search-preview | Openai | 128000 |
|
||||
| rekaai/reka-flash-3 | Rekaai | 65536 |
|
||||
| google/gemma-3-27b-it | Google | 131072 |
|
||||
| thedrummer/skyfall-36b-v2 | Thedrummer | 32768 |
|
||||
| perplexity/sonar-reasoning-pro | Perplexity | 128000 |
|
||||
| perplexity/sonar-pro | Perplexity | 200000 |
|
||||
| perplexity/sonar-deep-research | Perplexity | 128000 |
|
||||
| google/gemini-2.0-flash-lite-001 | Google | 1048576 |
|
||||
| anthropic/claude-3.7-sonnet | Anthropic | 200000 |
|
||||
| anthropic/claude-3.7-sonnet:thinking | Anthropic | 200000 |
|
||||
| mistralai/mistral-saba | Mistralai | 32768 |
|
||||
| meta-llama/llama-guard-3-8b | Meta Llama | 131072 |
|
||||
| openai/o3-mini-high | Openai | 200000 |
|
||||
| google/gemini-2.0-flash-001 | Google | 1000000 |
|
||||
| qwen/qwen-vl-plus | Qwen | 131072 |
|
||||
| aion-labs/aion-1.0 | Aion Labs | 131072 |
|
||||
| aion-labs/aion-1.0-mini | Aion Labs | 131072 |
|
||||
| aion-labs/aion-rp-llama-3.1-8b | Aion Labs | 32768 |
|
||||
| qwen/qwen-vl-max | Qwen | 131072 |
|
||||
| qwen/qwen-turbo | Qwen | 131072 |
|
||||
| qwen/qwen2.5-vl-72b-instruct | Qwen | 32000 |
|
||||
| qwen/qwen-plus | Qwen | 1000000 |
|
||||
| qwen/qwen-max | Qwen | 32768 |
|
||||
| openai/o3-mini | Openai | 200000 |
|
||||
| mistralai/mistral-small-24b-instruct-2501 | Mistralai | 32768 |
|
||||
| deepseek/deepseek-r1-distill-qwen-32b | Deepseek | 32768 |
|
||||
| perplexity/sonar | Perplexity | 127072 |
|
||||
| deepseek/deepseek-r1-distill-llama-70b | Deepseek | 131072 |
|
||||
| minimax/minimax-01 | Minimax | 1000192 |
|
||||
| microsoft/phi-4 | Microsoft | 16384 |
|
||||
| sao10k/l3.1-70b-hanami-x1 | Sao10k | 16000 |
|
||||
| deepseek/deepseek-chat | Deepseek | 163840 |
|
||||
| sao10k/l3.3-euryale-70b | Sao10k | 131072 |
|
||||
| openai/o1 | Openai | 200000 |
|
||||
| cohere/command-r7b-12-2024 | Cohere | 128000 |
|
||||
| meta-llama/llama-3.3-70b-instruct:free | Meta Llama | 65536 |
|
||||
| meta-llama/llama-3.3-70b-instruct | Meta Llama | 131072 |
|
||||
| amazon/nova-lite-v1 | Amazon | 300000 |
|
||||
| amazon/nova-micro-v1 | Amazon | 128000 |
|
||||
| amazon/nova-pro-v1 | Amazon | 300000 |
|
||||
| openai/gpt-4o-2024-11-20 | Openai | 128000 |
|
||||
| mistralai/mistral-large-2411 | Mistralai | 131072 |
|
||||
| mistralai/mistral-large-2407 | Mistralai | 131072 |
|
||||
| mistralai/pixtral-large-2411 | Mistralai | 131072 |
|
||||
| qwen/qwen-2.5-coder-32b-instruct | Qwen | 32768 |
|
||||
| thedrummer/unslopnemo-12b | Thedrummer | 32768 |
|
||||
| anthropic/claude-3.5-haiku | Anthropic | 200000 |
|
||||
| anthracite-org/magnum-v4-72b | Anthracite Org | 16384 |
|
||||
| qwen/qwen-2.5-7b-instruct | Qwen | 32768 |
|
||||
| inflection/inflection-3-productivity | Inflection | 8000 |
|
||||
| inflection/inflection-3-pi | Inflection | 8000 |
|
||||
| thedrummer/rocinante-12b | Thedrummer | 32768 |
|
||||
| meta-llama/llama-3.2-3b-instruct:free | Meta Llama | 131072 |
|
||||
| meta-llama/llama-3.2-3b-instruct | Meta Llama | 80000 |
|
||||
| meta-llama/llama-3.2-1b-instruct | Meta Llama | 60000 |
|
||||
| meta-llama/llama-3.2-11b-vision-instruct | Meta Llama | 131072 |
|
||||
| qwen/qwen-2.5-72b-instruct | Qwen | 32768 |
|
||||
| cohere/command-r-plus-08-2024 | Cohere | 128000 |
|
||||
| cohere/command-r-08-2024 | Cohere | 128000 |
|
||||
| sao10k/l3.1-euryale-70b | Sao10k | 131072 |
|
||||
| nousresearch/hermes-3-llama-3.1-70b | Nousresearch | 131072 |
|
||||
| nousresearch/hermes-3-llama-3.1-405b:free | Nousresearch | 131072 |
|
||||
| nousresearch/hermes-3-llama-3.1-405b | Nousresearch | 131072 |
|
||||
| sao10k/l3-lunaris-8b | Sao10k | 8192 |
|
||||
| openai/gpt-4o-2024-08-06 | Openai | 128000 |
|
||||
| meta-llama/llama-3.1-8b-instruct | Meta Llama | 16384 |
|
||||
| meta-llama/llama-3.1-70b-instruct | Meta Llama | 131072 |
|
||||
| mistralai/mistral-nemo | Mistralai | 131072 |
|
||||
| openai/gpt-4o-mini-2024-07-18 | Openai | 128000 |
|
||||
| openai/gpt-4o-mini | Openai | 128000 |
|
||||
| google/gemma-2-27b-it | Google | 8192 |
|
||||
| sao10k/l3-euryale-70b | Sao10k | 8192 |
|
||||
| nousresearch/hermes-2-pro-llama-3-8b | Nousresearch | 8192 |
|
||||
| openai/gpt-4o-2024-05-13 | Openai | 128000 |
|
||||
| meta-llama/llama-3-8b-instruct | Meta Llama | 8192 |
|
||||
| meta-llama/llama-3-70b-instruct | Meta Llama | 8192 |
|
||||
| mistralai/mixtral-8x22b-instruct | Mistralai | 65536 |
|
||||
| microsoft/wizardlm-2-8x22b | Microsoft | 65535 |
|
||||
| openai/gpt-4-turbo | Openai | 128000 |
|
||||
| anthropic/claude-3-haiku | Anthropic | 200000 |
|
||||
| mistralai/mistral-large | Mistralai | 128000 |
|
||||
| openai/gpt-4-turbo-preview | Openai | 128000 |
|
||||
| openai/gpt-3.5-turbo-0613 | Openai | 4095 |
|
||||
| alpindale/goliath-120b | Alpindale | 6144 |
|
||||
| openrouter/auto | Openrouter | 2000000 |
|
||||
| openai/gpt-4-1106-preview | Openai | 128000 |
|
||||
| openai/gpt-3.5-turbo-instruct | Openai | 4095 |
|
||||
| mistralai/mistral-7b-instruct-v0.1 | Mistralai | 2824 |
|
||||
| openai/gpt-3.5-turbo-16k | Openai | 16385 |
|
||||
| mancer/weaver | Mancer | 8000 |
|
||||
| undi95/remm-slerp-l2-13b | Undi95 | 6144 |
|
||||
| gryphe/mythomax-l2-13b | Gryphe | 4096 |
|
||||
| openai/gpt-4-0314 | Openai | 8191 |
|
||||
| openai/gpt-4 | Openai | 8191 |
|
||||
| openai/gpt-3.5-turbo | Openai | 16385 |
|
||||
|
||||
## 💸 低价模型 TOP 10
|
||||
|
||||
| 排名 | 模型 | 厂商 | 输入价格 |
|
||||
|------|------|------|----------|
|
||||
| 1 | openai/gpt-4o | Openai | $2.5000 |
|
||||
|
||||
## 📏 大上下文模型 TOP 10
|
||||
|
||||
| 排名 | 模型 | 厂商 | 上下文长度 |
|
||||
|------|------|------|------------|
|
||||
| 1 | openrouter/auto | Openrouter | 2000000 |
|
||||
| 2 | x-ai/grok-4.1-fast | X Ai | 2000000 |
|
||||
| 3 | x-ai/grok-4.20 | X Ai | 2000000 |
|
||||
| 4 | x-ai/grok-4.20-multi-agent | X Ai | 2000000 |
|
||||
| 5 | openrouter/pareto-code | Openrouter | 2000000 |
|
||||
| 6 | x-ai/grok-4-fast | X Ai | 2000000 |
|
||||
| 7 | openai/gpt-5.4 | Openai | 1050000 |
|
||||
| 8 | openai/gpt-5.4-pro | Openai | 1050000 |
|
||||
| 9 | openai/gpt-5.5 | Openai | 1050000 |
|
||||
| 10 | openai/gpt-5.5-pro | Openai | 1050000 |
|
||||
|
||||
---
|
||||
|
||||
📌 **说明**: 本报告由 LLM Intelligence Hub 自动生成。价格单位：USD/1M tokens。
|
||||
|
||||
_生成时间: 2026-05-11T08:00:02+08:00_
|
||||
1241
reports/daily/2026/05/daily_report_2026-05-12.html
Normal file
1241
reports/daily/2026/05/daily_report_2026-05-12.html
Normal file
File diff suppressed because it is too large
Load Diff
350
reports/daily/2026/05/daily_report_2026-05-12.md
Normal file
350
reports/daily/2026/05/daily_report_2026-05-12.md
Normal file
@@ -0,0 +1,350 @@
|
||||
# 🤖 LLM Intelligence Hub - 每日情报报告
|
||||
|
||||
**报告日期**: 2026-05-12
|
||||
**生成时间**: 2026-05-12T08:00:01+08:00
|
||||
|
||||
## 📊 数据质量摘要
|
||||
|
||||
| 指标 | 数值 |
|
||||
|------|------|
|
||||
| 模型总数 | 501 |
|
||||
| 数据新鲜 | 458 |
|
||||
| CNY定价 | 126 |
|
||||
| USD定价 | 375 |
|
||||
| 厂商总数 | 81 |
|
||||
|
||||
## 🆓 免费模型(共 371 个)
|
||||
|
||||
**按国家分布**: US 144个, 国际 143个, CN 84个
|
||||
|
||||
**代表性模型(前20个)**:
|
||||
|
||||
| 模型 | 厂商 | 国家 | 上下文 |
|
||||
|------|------|------|--------|
|
||||
| xAI: Grok 4 Fast | xAI | US | 2000000 |
|
||||
| Pareto Code Router | OpenRouter | US | 2000000 |
|
||||
| xAI: Grok 4.20 Multi-Agent | xAI | US | 2000000 |
|
||||
| xAI: Grok 4.20 | xAI | US | 2000000 |
|
||||
| Auto Router | OpenRouter | US | 2000000 |
|
||||
| xAI: Grok 4.1 Fast | xAI | US | 2000000 |
|
||||
| OpenAI: GPT-5.5 | OpenAI | US | 1050000 |
|
||||
| OpenAI: GPT-5.5 Pro | OpenAI | US | 1050000 |
|
||||
| OpenAI GPT Latest | ~openai | 国际 | 1050000 |
|
||||
| OpenAI: GPT-5.4 | OpenAI | US | 1050000 |
|
||||
| OpenAI: GPT-5.4 Pro | OpenAI | US | 1050000 |
|
||||
| Owl Alpha | OpenRouter | US | 1048756 |
|
||||
| Google: Lyria 3 Clip Preview | Google | US | 1048576 |
|
||||
| Google: Gemini 3 Flash Preview | Google | US | 1048576 |
|
||||
| Google: Gemini 2.5 Pro Preview 05-06 | Google | US | 1048576 |
|
||||
| Meta: Llama 4 Maverick | meta-llama | 国际 | 1048576 |
|
||||
| Xiaomi: MiMo-V2.5 | xiaomi | 国际 | 1048576 |
|
||||
| Google Gemini Pro Latest | ~google | 国际 | 1048576 |
|
||||
| Google: Gemini 2.5 Flash Lite Preview 09-2025 | Google | US | 1048576 |
|
||||
| Google Gemini Flash Latest | ~google | 国际 | 1048576 |
|
||||
| ... | ... | ... | ... |
|
||||
|
||||
> 共 371 个免费模型,以上为前20个代表性模型
|
||||
|
||||
## 🌍 国际推荐模型 TOP 5
|
||||
|
||||
| 排名 | 模型 | 厂商 | 场景 | 输入(原价) | 输出(原价) | 上下文 |
|
||||
|------|------|------|------|-----------|-----------|--------|
|
||||
| 1 | Qwen3-VL-8B | Alibaba | 视觉 | ¥0.20 | ¥0.50 | 32000 |
|
||||
| 2 | Qwen3-VL-32B | Alibaba | 视觉 | ¥0.50 | ¥1.00 | 32000 |
|
||||
| 3 | GPT-5.4 Mini | OpenAI | 对话 | $0.75 | $4.50 | 200000 |
|
||||
| 4 | Doubao-Pro | ByteDance | 视觉 | ¥0.80 | ¥2.00 | 32000 |
|
||||
| 5 | DeepSeek-V3 | DeepSeek | 对话 | ¥1.00 | ¥2.00 | 64000 |
|
||||
|
||||
## 🇨🇳 国内模型 TOP 10
|
||||
|
||||
| 排名 | 模型 | 厂商 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|------|------|-----------|-----------|--------|
|
||||
| 1 | DeepSeek V4 Flash | DeepSeek | 对话 | ¥1.02 | ¥2.03 | 1000000 |
|
||||
| 2 | doubao-seed-1.6-flash | ByteDance | 对话 | ¥0.15 | ¥0.30 | 32000 |
|
||||
| 3 | GLM-4.6V-FlashX | Zhipu AI | 视觉 | ¥0.15 | ¥1.50 | 8000 |
|
||||
| 4 | GLM-Realtime-Flash | Zhipu AI | 对话 | ¥0.18 | ¥0.18 | 8000 |
|
||||
| 5 | doubao-seed-2.0-mini | ByteDance | 对话 | ¥0.20 | ¥0.40 | 32000 |
|
||||
| 6 | doubao-seed-1.6-lite | ByteDance | 对话 | ¥0.30 | ¥0.60 | 32000 |
|
||||
| 7 | doubao-seed-1.6-flash-128k | ByteDance | 对话 | ¥0.30 | ¥0.60 | 128000 |
|
||||
| 8 | GLM-Realtime-Air | Zhipu AI | 对话 | ¥0.30 | ¥0.30 | 8000 |
|
||||
| 9 | doubao-1.5-lite-32k | ByteDance | 对话 | ¥0.30 | ¥0.60 | 32000 |
|
||||
| 10 | doubao-seed-2.0-mini-128k | ByteDance | 对话 | ¥0.40 | ¥0.80 | 128000 |
|
||||
| 11 | DeepSeek V4 Pro | DeepSeek | 对话 | ¥3.15 | ¥6.31 | 1000000 |
|
||||
| 12 | GLM-4.7-FlashX | Zhipu AI | 对话 | ¥0.50 | ¥3.00 | 200000 |
|
||||
| 13 | GLM-4-Air | Zhipu AI | 对话 | ¥0.50 | ¥0.25 | 128000 |
|
||||
| 14 | doubao-seed-1.6-lite-128k | ByteDance | 对话 | ¥0.60 | ¥1.20 | 128000 |
|
||||
| 15 | doubao-seed-1.6-flash-256k | ByteDance | 对话 | ¥0.60 | ¥1.20 | 256000 |
|
||||
| 16 | doubao-seed-2.0-lite | ByteDance | 对话 | ¥0.60 | ¥1.20 | 32000 |
|
||||
| 17 | doubao-seed-character | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 18 | doubao-seed-1.8 | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 19 | doubao-seed-1.6 | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 20 | GLM-4.5-Air | Zhipu AI | 对话 | ¥0.80 | ¥2.00 | 32000 |
|
||||
| 21 | doubao-pro-32k | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 22 | doubao-seed-1.6-vision | ByteDance | 视觉 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 23 | doubao-1.5-pro-32k | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 24 | doubao-seed-2.0-mini-256k | ByteDance | 对话 | ¥0.80 | ¥1.60 | 256000 |
|
||||
| 25 | doubao-seed-2.0-lite-128k | ByteDance | 对话 | ¥0.90 | ¥1.80 | 128000 |
|
||||
| 26 | GLM-4-Long | Zhipu AI | 对话 | ¥1.00 | ¥0.50 | 1000000 |
|
||||
| 27 | doubao-seed-1.8-128k | ByteDance | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| 28 | GLM-4.5-Air (32K+) | Zhipu AI | 对话 | ¥1.20 | ¥8.00 | 128000 |
|
||||
| 29 | doubao-seed-code | ByteDance | 代码 | ¥1.20 | ¥2.40 | 32000 |
|
||||
| 30 | doubao-seed-1.6-vision-128k | ByteDance | 视觉 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| 31 | doubao-seed-1.6-lite-256k | ByteDance | 对话 | ¥1.20 | ¥2.40 | 256000 |
|
||||
| 32 | doubao-seed-1.6-128k | ByteDance | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| 33 | doubao-seed-character-128k | ByteDance | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| 34 | doubao-seed-code-128k | ByteDance | 代码 | ¥1.40 | ¥2.80 | 128000 |
|
||||
| 35 | doubao-seed-2.0-lite-256k | ByteDance | 对话 | ¥1.80 | ¥3.60 | 256000 |
|
||||
| 36 | deepseek-v3 | ByteDance | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| 37 | GLM-4.7 | Zhipu AI | 对话 | ¥2.00 | ¥8.00 | 32000 |
|
||||
| 38 | GLM-4.5V | Zhipu AI | 视觉 | ¥2.00 | ¥6.00 | 32000 |
|
||||
| 39 | GLM-4.6V | Zhipu AI | 视觉 | ¥2.00 | ¥6.00 | 8000 |
|
||||
| 40 | Moonshot V1 8K | Moonshot AI | 对话 | ¥2.00 | ¥10.00 | 8192 |
|
||||
| 41 | deepseek-v3.2 | ByteDance | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| 42 | GLM-TTS | Zhipu AI | 对话 | ¥2.00 | 免费 | 8000 |
|
||||
| 43 | glm-4.7 | ByteDance | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| 44 | doubao-seed-1.6-vision-256k | ByteDance | 视觉 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| 45 | doubao-seed-1.8-256k | ByteDance | 对话 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| 46 | doubao-seed-1.6-256k | ByteDance | 对话 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| 47 | doubao-seed-code-256k | ByteDance | 代码 | ¥2.80 | ¥5.60 | 256000 |
|
||||
| 48 | doubao-1.5-vision-pro | ByteDance | 视觉 | ¥3.00 | ¥6.00 | 32000 |
|
||||
| 49 | doubao-seed-2.0-code | ByteDance | 代码 | ¥3.20 | ¥6.40 | 32000 |
|
||||
| 50 | doubao-seed-2.0-pro | ByteDance | 对话 | ¥3.20 | ¥6.40 | 32000 |
|
||||
| 51 | deepseek-v3.1 | ByteDance | 对话 | ¥4.00 | ¥8.00 | 32000 |
|
||||
| 52 | Kimi K2 0905 Preview | Moonshot AI | 对话 | ¥4.00 | ¥16.00 | 262144 |
|
||||
| 53 | glm-4.7-128k | ByteDance | 对话 | ¥4.00 | ¥8.00 | 128000 |
|
||||
| 54 | GLM-5 | Zhipu AI | 对话 | ¥4.00 | ¥18.00 | 32000 |
|
||||
| 55 | deepseek-v3.2-128k | ByteDance | 对话 | ¥4.00 | ¥8.00 | 128000 |
|
||||
| 56 | GLM-4.7 (32K+) | Zhipu AI | 对话 | ¥4.00 | ¥16.00 | 200000 |
|
||||
| 57 | deepseek-r1 | ByteDance | 推理 | ¥4.00 | ¥8.00 | 32000 |
|
||||
| 58 | GLM-4V-Plus | Zhipu AI | 视觉 | ¥4.00 | ¥4.00 | 8000 |
|
||||
| 59 | doubao-seed-2.0-code-128k | ByteDance | 代码 | ¥4.80 | ¥9.60 | 128000 |
|
||||
| 60 | doubao-seed-2.0-pro-128k | ByteDance | 对话 | ¥4.80 | ¥9.60 | 128000 |
|
||||
| 61 | GLM-5-Turbo | Zhipu AI | 对话 | ¥5.00 | ¥22.00 | 32000 |
|
||||
| 62 | GLM-TTS-Clone | Zhipu AI | 对话 | ¥6.00 | 免费 | 8000 |
|
||||
| 63 | GLM-5 (32K+) | Zhipu AI | 对话 | ¥6.00 | ¥22.00 | 200000 |
|
||||
| 64 | GLM-5.1 | Zhipu AI | 对话 | ¥6.00 | ¥24.00 | 32000 |
|
||||
| 65 | Kimi K2.6 | Moonshot AI | 视觉 | ¥6.50 | ¥27.00 | 262144 |
|
||||
| 66 | GLM-5-Turbo (32K+) | Zhipu AI | 对话 | ¥7.00 | ¥26.00 | 200000 |
|
||||
| 67 | GLM-5.1 (32K+) | Zhipu AI | 对话 | ¥8.00 | ¥28.00 | 200000 |
|
||||
| 68 | doubao-seed-2.0-code-256k | ByteDance | 代码 | ¥9.60 | ¥19.20 | 256000 |
|
||||
| 69 | doubao-seed-2.0-pro-256k | ByteDance | 对话 | ¥9.60 | ¥19.20 | 256000 |
|
||||
| 70 | GLM-4-AirX | Zhipu AI | 对话 | ¥10.00 | ¥10.00 | 8000 |
|
||||
| 71 | GLM-ASR-2512 | Zhipu AI | 对话 | ¥16.00 | 免费 | 8000 |
|
||||
| 72 | ERNIE 5.1 | Baidu | 对话 | ¥22.00 | ¥22.00 | 0 |
|
||||
| 73 | ERNIE 5.0 | Baidu | 对话 | ¥40.00 | ¥40.00 | 0 |
|
||||
| 74 | GLM-4V | Zhipu AI | 视觉 | ¥50.00 | ¥50.00 | 2000 |
|
||||
| 75 | GLM-4-Voice | Zhipu AI | 对话 | ¥80.00 | ¥80.00 | 8000 |
|
||||
| 76 | GLM-4-0520 | Zhipu AI | 对话 | ¥100.00 | ¥50.00 | 128000 |
|
||||
|
||||
## 📊 模型分类概览
|
||||
|
||||
### 🇨🇳 国内官方平台模型
|
||||
|
||||
**Baidu Qianfan** (2个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| ERNIE 5.1 | 对话 | ¥22.00 | ¥22.00 | 0 |
|
||||
| ERNIE 5.0 | 对话 | ¥40.00 | ¥40.00 | 0 |
|
||||
|
||||
**DeepSeek** (2个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| DeepSeek V4 Flash | 对话 | ¥1.02 | ¥2.03 | 1000000 |
|
||||
| DeepSeek V4 Pro | 对话 | ¥3.15 | ¥6.31 | 1000000 |
|
||||
|
||||
**ByteDance Volcano** (43个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| doubao-seed-1.6-flash | 对话 | ¥0.15 | ¥0.30 | 32000 |
|
||||
| doubao-seed-2.0-mini | 对话 | ¥0.20 | ¥0.40 | 32000 |
|
||||
| doubao-seed-1.6-lite | 对话 | ¥0.30 | ¥0.60 | 32000 |
|
||||
| doubao-seed-1.6-flash-128k | 对话 | ¥0.30 | ¥0.60 | 128000 |
|
||||
| doubao-1.5-lite-32k | 对话 | ¥0.30 | ¥0.60 | 32000 |
|
||||
| doubao-seed-2.0-mini-128k | 对话 | ¥0.40 | ¥0.80 | 128000 |
|
||||
| doubao-seed-1.6-lite-128k | 对话 | ¥0.60 | ¥1.20 | 128000 |
|
||||
| doubao-seed-1.6-flash-256k | 对话 | ¥0.60 | ¥1.20 | 256000 |
|
||||
| doubao-seed-2.0-lite | 对话 | ¥0.60 | ¥1.20 | 32000 |
|
||||
| doubao-seed-character | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-seed-1.8 | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-seed-1.6 | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-pro-32k | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-seed-1.6-vision | 视觉 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-1.5-pro-32k | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-seed-2.0-mini-256k | 对话 | ¥0.80 | ¥1.60 | 256000 |
|
||||
| doubao-seed-2.0-lite-128k | 对话 | ¥0.90 | ¥1.80 | 128000 |
|
||||
| doubao-seed-1.8-128k | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| doubao-seed-code | 代码 | ¥1.20 | ¥2.40 | 32000 |
|
||||
| doubao-seed-1.6-vision-128k | 视觉 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| doubao-seed-1.6-lite-256k | 对话 | ¥1.20 | ¥2.40 | 256000 |
|
||||
| doubao-seed-1.6-128k | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| doubao-seed-character-128k | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| doubao-seed-code-128k | 代码 | ¥1.40 | ¥2.80 | 128000 |
|
||||
| doubao-seed-2.0-lite-256k | 对话 | ¥1.80 | ¥3.60 | 256000 |
|
||||
| deepseek-v3 | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| deepseek-v3.2 | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| glm-4.7 | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| doubao-seed-1.6-vision-256k | 视觉 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| doubao-seed-1.8-256k | 对话 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| doubao-seed-1.6-256k | 对话 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| doubao-seed-code-256k | 代码 | ¥2.80 | ¥5.60 | 256000 |
|
||||
| doubao-1.5-vision-pro | 视觉 | ¥3.00 | ¥6.00 | 32000 |
|
||||
| doubao-seed-2.0-code | 代码 | ¥3.20 | ¥6.40 | 32000 |
|
||||
| doubao-seed-2.0-pro | 对话 | ¥3.20 | ¥6.40 | 32000 |
|
||||
| deepseek-v3.1 | 对话 | ¥4.00 | ¥8.00 | 32000 |
|
||||
| glm-4.7-128k | 对话 | ¥4.00 | ¥8.00 | 128000 |
|
||||
| deepseek-v3.2-128k | 对话 | ¥4.00 | ¥8.00 | 128000 |
|
||||
| deepseek-r1 | 推理 | ¥4.00 | ¥8.00 | 32000 |
|
||||
| doubao-seed-2.0-code-128k | 代码 | ¥4.80 | ¥9.60 | 128000 |
|
||||
| doubao-seed-2.0-pro-128k | 对话 | ¥4.80 | ¥9.60 | 128000 |
|
||||
| doubao-seed-2.0-code-256k | 代码 | ¥9.60 | ¥19.20 | 256000 |
|
||||
| doubao-seed-2.0-pro-256k | 对话 | ¥9.60 | ¥19.20 | 256000 |
|
||||
|
||||
**Zhipu** (26个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| GLM-4.6V-FlashX | 视觉 | ¥0.15 | ¥1.50 | 8000 |
|
||||
| GLM-Realtime-Flash | 对话 | ¥0.18 | ¥0.18 | 8000 |
|
||||
| GLM-Realtime-Air | 对话 | ¥0.30 | ¥0.30 | 8000 |
|
||||
| GLM-4.7-FlashX | 对话 | ¥0.50 | ¥3.00 | 200000 |
|
||||
| GLM-4-Air | 对话 | ¥0.50 | ¥0.25 | 128000 |
|
||||
| GLM-4.5-Air | 对话 | ¥0.80 | ¥2.00 | 32000 |
|
||||
| GLM-4-Long | 对话 | ¥1.00 | ¥0.50 | 1000000 |
|
||||
| GLM-4.5-Air (32K+) | 对话 | ¥1.20 | ¥8.00 | 128000 |
|
||||
| GLM-4.7 | 对话 | ¥2.00 | ¥8.00 | 32000 |
|
||||
| GLM-4.5V | 视觉 | ¥2.00 | ¥6.00 | 32000 |
|
||||
| GLM-4.6V | 视觉 | ¥2.00 | ¥6.00 | 8000 |
|
||||
| GLM-TTS | 对话 | ¥2.00 | 免费 | 8000 |
|
||||
| GLM-5 | 对话 | ¥4.00 | ¥18.00 | 32000 |
|
||||
| GLM-4.7 (32K+) | 对话 | ¥4.00 | ¥16.00 | 200000 |
|
||||
| GLM-4V-Plus | 视觉 | ¥4.00 | ¥4.00 | 8000 |
|
||||
| GLM-5-Turbo | 对话 | ¥5.00 | ¥22.00 | 32000 |
|
||||
| GLM-TTS-Clone | 对话 | ¥6.00 | 免费 | 8000 |
|
||||
| GLM-5 (32K+) | 对话 | ¥6.00 | ¥22.00 | 200000 |
|
||||
| GLM-5.1 | 对话 | ¥6.00 | ¥24.00 | 32000 |
|
||||
| GLM-5-Turbo (32K+) | 对话 | ¥7.00 | ¥26.00 | 200000 |
|
||||
| GLM-5.1 (32K+) | 对话 | ¥8.00 | ¥28.00 | 200000 |
|
||||
| GLM-4-AirX | 对话 | ¥10.00 | ¥10.00 | 8000 |
|
||||
| GLM-ASR-2512 | 对话 | ¥16.00 | 免费 | 8000 |
|
||||
| GLM-4V | 视觉 | ¥50.00 | ¥50.00 | 2000 |
|
||||
| GLM-4-Voice | 对话 | ¥80.00 | ¥80.00 | 8000 |
|
||||
| GLM-4-0520 | 对话 | ¥100.00 | ¥50.00 | 128000 |
|
||||
|
||||
**Moonshot** (3个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| Moonshot V1 8K | 对话 | ¥2.00 | ¥10.00 | 8192 |
|
||||
| Kimi K2 0905 Preview | 对话 | ¥4.00 | ¥16.00 | 262144 |
|
||||
| Kimi K2.6 | 视觉 | ¥6.50 | ¥27.00 | 262144 |
|
||||
|
||||
### 💻 代码模型(19个)
|
||||
|
||||
| 模型 | 厂商 | 输入(原价) | 输出(原价) |
|
||||
|------|------|-----------|-----------|
|
||||
| Pareto Code Router | OpenRouter | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder Plus | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder Flash | Qwen | 免费 | 免费 |
|
||||
| OpenAI: GPT-5 Codex | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.1-Codex-Max | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.2-Codex | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.1-Codex | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.1-Codex-Mini | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.3-Codex | OpenAI | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder Next | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder 480B A35B | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder 480B A35B... | Qwen | 免费 | 免费 |
|
||||
| Kwaipilot: KAT-Coder-Pro V2 | kwaipilot | 免费 | 免费 |
|
||||
| xAI: Grok Code Fast 1 | xAI | 免费 | 免费 |
|
||||
| Mistral: Codestral 2508 | mistralai | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder 30B A3B I... | Qwen | 免费 | 免费 |
|
||||
| Qwen2.5 Coder 32B Instruct | Qwen | 免费 | 免费 |
|
||||
| Arcee AI: Coder Large | arcee-ai | 免费 | 免费 |
|
||||
| AlfredPros: CodeLLaMa 7B In... | alfredpros | 免费 | 免费 |
|
||||
|
||||
### 🧠 推理模型(34个)
|
||||
|
||||
| 模型 | 厂商 | 输入(原价) | 输出(原价) |
|
||||
|------|------|-----------|-----------|
|
||||
| Qwen: Qwen Plus 0728 (think... | Qwen | 免费 | 免费 |
|
||||
| MoonshotAI: Kimi K2 Thinking | Moonshot AI | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Max Thinking | Qwen | 免费 | 免费 |
|
||||
| Arcee AI: Trinity Large Thi... | arcee-ai | 免费 | 免费 |
|
||||
| OpenAI: o3 Mini | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o1-pro | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o4 Mini | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o3 Deep Research | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o4 Mini Deep Research | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o1 | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o3 | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o3 Pro | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o3 Mini High | OpenAI | 免费 | 免费 |
|
||||
| Anthropic: Claude 3.7 Sonne... | Anthropic | 免费 | 免费 |
|
||||
| OpenAI: o4 Mini High | OpenAI | 免费 | 免费 |
|
||||
| DeepSeek: R1 0528 | DeepSeek | 免费 | 免费 |
|
||||
| Arcee AI: Maestro Reasoning | arcee-ai | 免费 | 免费 |
|
||||
| Sao10K: Llama 3.3 Euryale 70B | sao10k | 免费 | 免费 |
|
||||
| DeepSeek: R1 Distill Llama 70B | DeepSeek | 免费 | 免费 |
|
||||
| Qwen: Qwen3 30B A3B Thinkin... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Next 80B A3B Th... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 235B A22B Th... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 235B A22B Think... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 30B A3B Thin... | Qwen | 免费 | 免费 |
|
||||
| Baidu: ERNIE 4.5 21B A3B Th... | Baidu | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 8B Thinking | Qwen | 免费 | 免费 |
|
||||
| Sao10K: Llama 3.1 Euryale 7... | sao10k | 免费 | 免费 |
|
||||
| Perplexity: Sonar Reasoning... | Perplexity | 免费 | 免费 |
|
||||
| DeepSeek: R1 | DeepSeek | 免费 | 免费 |
|
||||
| DeepSeek: R1 Distill Qwen 32B | DeepSeek | 免费 | 免费 |
|
||||
| LiquidAI: LFM2.5-1.2B-Think... | liquid | 免费 | 免费 |
|
||||
| Sao10K: Llama 3.1 70B Hanam... | sao10k | 免费 | 免费 |
|
||||
| Sao10k: Llama 3 Euryale 70B... | sao10k | 免费 | 免费 |
|
||||
| Sao10K: Llama 3 8B Lunaris | sao10k | 免费 | 免费 |
|
||||
|
||||
### 👁️ 视觉/多模态模型(15个)
|
||||
|
||||
| 模型 | 厂商 | 输入(原价) | 输出(原价) |
|
||||
|------|------|-----------|-----------|
|
||||
| MoonshotAI: Kimi K2.6 | Moonshot AI | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 235B A22B In... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 235B A22B Th... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 30B A3B Inst... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 30B A3B Thin... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen VL Max | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 8B Instruct | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 8B Thinking | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen VL Plus | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 32B Instruct | Qwen | 免费 | 免费 |
|
||||
| Meta: Llama 3.2 11B Vision ... | meta-llama | 免费 | 免费 |
|
||||
| NVIDIA: Nemotron Nano 12B 2... | NVIDIA | 免费 | 免费 |
|
||||
| Baidu: ERNIE 4.5 VL 424B A47B | Baidu | 免费 | 免费 |
|
||||
| Qwen: Qwen2.5 VL 72B Instruct | Qwen | 免费 | 免费 |
|
||||
| Baidu: ERNIE 4.5 VL 28B A3B | Baidu | 免费 | 免费 |
|
||||
|
||||
## 🇨🇳 国内官方平台(5 家)
|
||||
|
||||
- **Zhipu**: 29 个模型,最低 ¥0.18/MTok
|
||||
- **ByteDance Volcano**: 43 个模型,最低 ¥0.15/MTok
|
||||
- **Moonshot**: 3 个模型,最低 ¥2.00/MTok
|
||||
- **DeepSeek**: 2 个模型,最低 ¥0.14/MTok
|
||||
- **Baidu Qianfan**: 44 个模型,最低 ¥0.00/MTok
|
||||
|
||||
## ☁️ 国际官方平台(1 家)
|
||||
|
||||
- **OpenAI**: 3 个模型,最低 $0.75/MTok
|
||||
|
||||
## 🔀 中转/聚合平台(1 家)
|
||||
|
||||
- **OpenRouter**: 377 个模型,最低 $0.00/MTok
|
||||
|
||||
---
|
||||
|
||||
📌 **说明**: 本报告由 LLM Intelligence Hub 自动生成。
|
||||
- 国际模型价格按 1 USD = 7.25 CNY 换算显示，括号内为原生货币价格
|
||||
- 国内模型价格为厂商原生 CNY 定价
|
||||
- 数据来源: OpenRouter API + 智谱AI + 百度千帆 + Moonshot + DeepSeek + OpenAI
|
||||
|
||||
_生成时间: 2026-05-12T08:00:01+08:00_
|
||||
1241
reports/daily/2026/05/daily_report_2026-05-13.html
Normal file
1241
reports/daily/2026/05/daily_report_2026-05-13.html
Normal file
File diff suppressed because it is too large
Load Diff
351
reports/daily/2026/05/daily_report_2026-05-13.md
Normal file
351
reports/daily/2026/05/daily_report_2026-05-13.md
Normal file
@@ -0,0 +1,351 @@
|
||||
# 🤖 LLM Intelligence Hub - 每日情报报告
|
||||
|
||||
**报告日期**: 2026-05-13
|
||||
**生成时间**: 2026-05-13T08:00:01+08:00
|
||||
|
||||
## 📊 数据质量摘要
|
||||
|
||||
| 指标 | 数值 |
|
||||
|------|------|
|
||||
| 模型总数 | 503 |
|
||||
| 数据新鲜 | 460 |
|
||||
| CNY定价 | 126 |
|
||||
| USD定价 | 377 |
|
||||
| 厂商总数 | 81 |
|
||||
|
||||
## 🆓 免费模型(共 373 个)
|
||||
|
||||
**按国家分布**: US 144个, 国际 145个, CN 84个
|
||||
|
||||
**代表性模型(前20个)**:
|
||||
|
||||
| 模型 | 厂商 | 国家 | 上下文 |
|
||||
|------|------|------|--------|
|
||||
| xAI: Grok 4 Fast | xAI | US | 2000000 |
|
||||
| Auto Router | OpenRouter | US | 2000000 |
|
||||
| Pareto Code Router | OpenRouter | US | 2000000 |
|
||||
| xAI: Grok 4.20 | xAI | US | 2000000 |
|
||||
| xAI: Grok 4.1 Fast | xAI | US | 2000000 |
|
||||
| xAI: Grok 4.20 Multi-Agent | xAI | US | 2000000 |
|
||||
| OpenAI: GPT-5.4 | OpenAI | US | 1050000 |
|
||||
| OpenAI: GPT-5.5 | OpenAI | US | 1050000 |
|
||||
| OpenAI: GPT-5.5 Pro | OpenAI | US | 1050000 |
|
||||
| OpenAI: GPT-5.4 Pro | OpenAI | US | 1050000 |
|
||||
| OpenAI GPT Latest | ~openai | 国际 | 1050000 |
|
||||
| Owl Alpha | OpenRouter | US | 1048756 |
|
||||
| Google: Gemini 2.5 Pro Preview 06-05 | Google | US | 1048576 |
|
||||
| Google: Gemini 3 Flash Preview | Google | US | 1048576 |
|
||||
| Google: Gemini 3.1 Pro Preview | Google | US | 1048576 |
|
||||
| Google: Gemini 2.0 Flash | Google | US | 1048576 |
|
||||
| Google: Gemini 3.1 Pro Preview Custom Tools | Google | US | 1048576 |
|
||||
| Google Gemini Pro Latest | ~google | 国际 | 1048576 |
|
||||
| Google: Gemini 2.0 Flash Lite | Google | US | 1048576 |
|
||||
| Google Gemini Flash Latest | ~google | 国际 | 1048576 |
|
||||
| ... | ... | ... | ... |
|
||||
|
||||
> 共 373 个免费模型,以上为前20个代表性模型
|
||||
|
||||
## 🌍 国际推荐模型 TOP 5
|
||||
|
||||
| 排名 | 模型 | 厂商 | 场景 | 输入(原价) | 输出(原价) | 上下文 |
|
||||
|------|------|------|------|-----------|-----------|--------|
|
||||
| 1 | Qwen3-VL-8B | Alibaba | 视觉 | ¥0.20 | ¥0.50 | 32000 |
|
||||
| 2 | Qwen3-VL-32B | Alibaba | 视觉 | ¥0.50 | ¥1.00 | 32000 |
|
||||
| 3 | GPT-5.4 Mini | OpenAI | 对话 | $0.75 | $4.50 | 200000 |
|
||||
| 4 | Doubao-Pro | ByteDance | 视觉 | ¥0.80 | ¥2.00 | 32000 |
|
||||
| 5 | DeepSeek-V3 | DeepSeek | 对话 | ¥1.00 | ¥2.00 | 64000 |
|
||||
|
||||
## 🇨🇳 国内模型 TOP 10
|
||||
|
||||
| 排名 | 模型 | 厂商 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|------|------|-----------|-----------|--------|
|
||||
| 1 | DeepSeek V4 Flash | DeepSeek | 对话 | ¥1.02 | ¥2.03 | 1000000 |
|
||||
| 2 | doubao-seed-1.6-flash | ByteDance | 对话 | ¥0.15 | ¥0.30 | 32000 |
|
||||
| 3 | GLM-4.6V-FlashX | Zhipu AI | 视觉 | ¥0.15 | ¥1.50 | 8000 |
|
||||
| 4 | GLM-Realtime-Flash | Zhipu AI | 对话 | ¥0.18 | ¥0.18 | 8000 |
|
||||
| 5 | doubao-seed-2.0-mini | ByteDance | 对话 | ¥0.20 | ¥0.40 | 32000 |
|
||||
| 6 | doubao-seed-1.6-lite | ByteDance | 对话 | ¥0.30 | ¥0.60 | 32000 |
|
||||
| 7 | doubao-seed-1.6-flash-128k | ByteDance | 对话 | ¥0.30 | ¥0.60 | 128000 |
|
||||
| 8 | GLM-Realtime-Air | Zhipu AI | 对话 | ¥0.30 | ¥0.30 | 8000 |
|
||||
| 9 | doubao-1.5-lite-32k | ByteDance | 对话 | ¥0.30 | ¥0.60 | 32000 |
|
||||
| 10 | doubao-seed-2.0-mini-128k | ByteDance | 对话 | ¥0.40 | ¥0.80 | 128000 |
|
||||
| 11 | DeepSeek V4 Pro | DeepSeek | 对话 | ¥3.15 | ¥6.31 | 1000000 |
|
||||
| 12 | GLM-4.7-FlashX | Zhipu AI | 对话 | ¥0.50 | ¥3.00 | 200000 |
|
||||
| 13 | GLM-4-Air | Zhipu AI | 对话 | ¥0.50 | ¥0.25 | 128000 |
|
||||
| 14 | doubao-seed-1.6-lite-128k | ByteDance | 对话 | ¥0.60 | ¥1.20 | 128000 |
|
||||
| 15 | doubao-seed-1.6-flash-256k | ByteDance | 对话 | ¥0.60 | ¥1.20 | 256000 |
|
||||
| 16 | doubao-seed-2.0-lite | ByteDance | 对话 | ¥0.60 | ¥1.20 | 32000 |
|
||||
| 17 | doubao-seed-character | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 18 | doubao-seed-1.8 | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 19 | doubao-seed-1.6 | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 20 | GLM-4.5-Air | Zhipu AI | 对话 | ¥0.80 | ¥2.00 | 32000 |
|
||||
| 21 | doubao-pro-32k | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 22 | doubao-seed-1.6-vision | ByteDance | 视觉 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 23 | doubao-1.5-pro-32k | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 24 | doubao-seed-2.0-mini-256k | ByteDance | 对话 | ¥0.80 | ¥1.60 | 256000 |
|
||||
| 25 | doubao-seed-2.0-lite-128k | ByteDance | 对话 | ¥0.90 | ¥1.80 | 128000 |
|
||||
| 26 | GLM-4-Long | Zhipu AI | 对话 | ¥1.00 | ¥0.50 | 1000000 |
|
||||
| 27 | doubao-seed-1.8-128k | ByteDance | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| 28 | GLM-4.5-Air (32K+) | Zhipu AI | 对话 | ¥1.20 | ¥8.00 | 128000 |
|
||||
| 29 | doubao-seed-code | ByteDance | 代码 | ¥1.20 | ¥2.40 | 32000 |
|
||||
| 30 | doubao-seed-1.6-vision-128k | ByteDance | 视觉 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| 31 | doubao-seed-1.6-lite-256k | ByteDance | 对话 | ¥1.20 | ¥2.40 | 256000 |
|
||||
| 32 | doubao-seed-1.6-128k | ByteDance | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| 33 | doubao-seed-character-128k | ByteDance | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| 34 | doubao-seed-code-128k | ByteDance | 代码 | ¥1.40 | ¥2.80 | 128000 |
|
||||
| 35 | doubao-seed-2.0-lite-256k | ByteDance | 对话 | ¥1.80 | ¥3.60 | 256000 |
|
||||
| 36 | deepseek-v3 | ByteDance | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| 37 | GLM-4.7 | Zhipu AI | 对话 | ¥2.00 | ¥8.00 | 32000 |
|
||||
| 38 | GLM-4.5V | Zhipu AI | 视觉 | ¥2.00 | ¥6.00 | 32000 |
|
||||
| 39 | GLM-4.6V | Zhipu AI | 视觉 | ¥2.00 | ¥6.00 | 8000 |
|
||||
| 40 | Moonshot V1 8K | Moonshot AI | 对话 | ¥2.00 | ¥10.00 | 8192 |
|
||||
| 41 | deepseek-v3.2 | ByteDance | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| 42 | GLM-TTS | Zhipu AI | 对话 | ¥2.00 | 免费 | 8000 |
|
||||
| 43 | glm-4.7 | ByteDance | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| 44 | doubao-seed-1.6-vision-256k | ByteDance | 视觉 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| 45 | doubao-seed-1.8-256k | ByteDance | 对话 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| 46 | doubao-seed-1.6-256k | ByteDance | 对话 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| 47 | doubao-seed-code-256k | ByteDance | 代码 | ¥2.80 | ¥5.60 | 256000 |
|
||||
| 48 | doubao-1.5-vision-pro | ByteDance | 视觉 | ¥3.00 | ¥6.00 | 32000 |
|
||||
| 49 | doubao-seed-2.0-code | ByteDance | 代码 | ¥3.20 | ¥6.40 | 32000 |
|
||||
| 50 | doubao-seed-2.0-pro | ByteDance | 对话 | ¥3.20 | ¥6.40 | 32000 |
|
||||
| 51 | deepseek-v3.1 | ByteDance | 对话 | ¥4.00 | ¥8.00 | 32000 |
|
||||
| 52 | Kimi K2 0905 Preview | Moonshot AI | 对话 | ¥4.00 | ¥16.00 | 262144 |
|
||||
| 53 | glm-4.7-128k | ByteDance | 对话 | ¥4.00 | ¥8.00 | 128000 |
|
||||
| 54 | GLM-5 | Zhipu AI | 对话 | ¥4.00 | ¥18.00 | 32000 |
|
||||
| 55 | deepseek-v3.2-128k | ByteDance | 对话 | ¥4.00 | ¥8.00 | 128000 |
|
||||
| 56 | GLM-4.7 (32K+) | Zhipu AI | 对话 | ¥4.00 | ¥16.00 | 200000 |
|
||||
| 57 | deepseek-r1 | ByteDance | 推理 | ¥4.00 | ¥8.00 | 32000 |
|
||||
| 58 | GLM-4V-Plus | Zhipu AI | 视觉 | ¥4.00 | ¥4.00 | 8000 |
|
||||
| 59 | doubao-seed-2.0-code-128k | ByteDance | 代码 | ¥4.80 | ¥9.60 | 128000 |
|
||||
| 60 | doubao-seed-2.0-pro-128k | ByteDance | 对话 | ¥4.80 | ¥9.60 | 128000 |
|
||||
| 61 | GLM-5-Turbo | Zhipu AI | 对话 | ¥5.00 | ¥22.00 | 32000 |
|
||||
| 62 | GLM-TTS-Clone | Zhipu AI | 对话 | ¥6.00 | 免费 | 8000 |
|
||||
| 63 | GLM-5 (32K+) | Zhipu AI | 对话 | ¥6.00 | ¥22.00 | 200000 |
|
||||
| 64 | GLM-5.1 | Zhipu AI | 对话 | ¥6.00 | ¥24.00 | 32000 |
|
||||
| 65 | Kimi K2.6 | Moonshot AI | 视觉 | ¥6.50 | ¥27.00 | 262144 |
|
||||
| 66 | GLM-5-Turbo (32K+) | Zhipu AI | 对话 | ¥7.00 | ¥26.00 | 200000 |
|
||||
| 67 | GLM-5.1 (32K+) | Zhipu AI | 对话 | ¥8.00 | ¥28.00 | 200000 |
|
||||
| 68 | doubao-seed-2.0-code-256k | ByteDance | 代码 | ¥9.60 | ¥19.20 | 256000 |
|
||||
| 69 | doubao-seed-2.0-pro-256k | ByteDance | 对话 | ¥9.60 | ¥19.20 | 256000 |
|
||||
| 70 | GLM-4-AirX | Zhipu AI | 对话 | ¥10.00 | ¥10.00 | 8000 |
|
||||
| 71 | GLM-ASR-2512 | Zhipu AI | 对话 | ¥16.00 | 免费 | 8000 |
|
||||
| 72 | ERNIE 5.1 | Baidu | 对话 | ¥22.00 | ¥22.00 | 0 |
|
||||
| 73 | ERNIE 5.0 | Baidu | 对话 | ¥40.00 | ¥40.00 | 0 |
|
||||
| 74 | GLM-4V | Zhipu AI | 视觉 | ¥50.00 | ¥50.00 | 2000 |
|
||||
| 75 | GLM-4-Voice | Zhipu AI | 对话 | ¥80.00 | ¥80.00 | 8000 |
|
||||
| 76 | GLM-4-0520 | Zhipu AI | 对话 | ¥100.00 | ¥50.00 | 128000 |
|
||||
|
||||
## 📊 模型分类概览
|
||||
|
||||
### 🇨🇳 国内官方平台模型
|
||||
|
||||
**ByteDance Volcano** (43个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| doubao-seed-1.6-flash | 对话 | ¥0.15 | ¥0.30 | 32000 |
|
||||
| doubao-seed-2.0-mini | 对话 | ¥0.20 | ¥0.40 | 32000 |
|
||||
| doubao-seed-1.6-lite | 对话 | ¥0.30 | ¥0.60 | 32000 |
|
||||
| doubao-seed-1.6-flash-128k | 对话 | ¥0.30 | ¥0.60 | 128000 |
|
||||
| doubao-1.5-lite-32k | 对话 | ¥0.30 | ¥0.60 | 32000 |
|
||||
| doubao-seed-2.0-mini-128k | 对话 | ¥0.40 | ¥0.80 | 128000 |
|
||||
| doubao-seed-1.6-lite-128k | 对话 | ¥0.60 | ¥1.20 | 128000 |
|
||||
| doubao-seed-1.6-flash-256k | 对话 | ¥0.60 | ¥1.20 | 256000 |
|
||||
| doubao-seed-2.0-lite | 对话 | ¥0.60 | ¥1.20 | 32000 |
|
||||
| doubao-seed-character | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-seed-1.8 | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-seed-1.6 | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-pro-32k | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-seed-1.6-vision | 视觉 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-1.5-pro-32k | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-seed-2.0-mini-256k | 对话 | ¥0.80 | ¥1.60 | 256000 |
|
||||
| doubao-seed-2.0-lite-128k | 对话 | ¥0.90 | ¥1.80 | 128000 |
|
||||
| doubao-seed-1.8-128k | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| doubao-seed-code | 代码 | ¥1.20 | ¥2.40 | 32000 |
|
||||
| doubao-seed-1.6-vision-128k | 视觉 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| doubao-seed-1.6-lite-256k | 对话 | ¥1.20 | ¥2.40 | 256000 |
|
||||
| doubao-seed-1.6-128k | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| doubao-seed-character-128k | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| doubao-seed-code-128k | 代码 | ¥1.40 | ¥2.80 | 128000 |
|
||||
| doubao-seed-2.0-lite-256k | 对话 | ¥1.80 | ¥3.60 | 256000 |
|
||||
| deepseek-v3 | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| deepseek-v3.2 | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| glm-4.7 | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| doubao-seed-1.6-vision-256k | 视觉 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| doubao-seed-1.8-256k | 对话 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| doubao-seed-1.6-256k | 对话 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| doubao-seed-code-256k | 代码 | ¥2.80 | ¥5.60 | 256000 |
|
||||
| doubao-1.5-vision-pro | 视觉 | ¥3.00 | ¥6.00 | 32000 |
|
||||
| doubao-seed-2.0-code | 代码 | ¥3.20 | ¥6.40 | 32000 |
|
||||
| doubao-seed-2.0-pro | 对话 | ¥3.20 | ¥6.40 | 32000 |
|
||||
| deepseek-v3.1 | 对话 | ¥4.00 | ¥8.00 | 32000 |
|
||||
| glm-4.7-128k | 对话 | ¥4.00 | ¥8.00 | 128000 |
|
||||
| deepseek-v3.2-128k | 对话 | ¥4.00 | ¥8.00 | 128000 |
|
||||
| deepseek-r1 | 推理 | ¥4.00 | ¥8.00 | 32000 |
|
||||
| doubao-seed-2.0-code-128k | 代码 | ¥4.80 | ¥9.60 | 128000 |
|
||||
| doubao-seed-2.0-pro-128k | 对话 | ¥4.80 | ¥9.60 | 128000 |
|
||||
| doubao-seed-2.0-code-256k | 代码 | ¥9.60 | ¥19.20 | 256000 |
|
||||
| doubao-seed-2.0-pro-256k | 对话 | ¥9.60 | ¥19.20 | 256000 |
|
||||
|
||||
**Zhipu** (26个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| GLM-4.6V-FlashX | 视觉 | ¥0.15 | ¥1.50 | 8000 |
|
||||
| GLM-Realtime-Flash | 对话 | ¥0.18 | ¥0.18 | 8000 |
|
||||
| GLM-Realtime-Air | 对话 | ¥0.30 | ¥0.30 | 8000 |
|
||||
| GLM-4.7-FlashX | 对话 | ¥0.50 | ¥3.00 | 200000 |
|
||||
| GLM-4-Air | 对话 | ¥0.50 | ¥0.25 | 128000 |
|
||||
| GLM-4.5-Air | 对话 | ¥0.80 | ¥2.00 | 32000 |
|
||||
| GLM-4-Long | 对话 | ¥1.00 | ¥0.50 | 1000000 |
|
||||
| GLM-4.5-Air (32K+) | 对话 | ¥1.20 | ¥8.00 | 128000 |
|
||||
| GLM-4.7 | 对话 | ¥2.00 | ¥8.00 | 32000 |
|
||||
| GLM-4.5V | 视觉 | ¥2.00 | ¥6.00 | 32000 |
|
||||
| GLM-4.6V | 视觉 | ¥2.00 | ¥6.00 | 8000 |
|
||||
| GLM-TTS | 对话 | ¥2.00 | 免费 | 8000 |
|
||||
| GLM-5 | 对话 | ¥4.00 | ¥18.00 | 32000 |
|
||||
| GLM-4.7 (32K+) | 对话 | ¥4.00 | ¥16.00 | 200000 |
|
||||
| GLM-4V-Plus | 视觉 | ¥4.00 | ¥4.00 | 8000 |
|
||||
| GLM-5-Turbo | 对话 | ¥5.00 | ¥22.00 | 32000 |
|
||||
| GLM-TTS-Clone | 对话 | ¥6.00 | 免费 | 8000 |
|
||||
| GLM-5 (32K+) | 对话 | ¥6.00 | ¥22.00 | 200000 |
|
||||
| GLM-5.1 | 对话 | ¥6.00 | ¥24.00 | 32000 |
|
||||
| GLM-5-Turbo (32K+) | 对话 | ¥7.00 | ¥26.00 | 200000 |
|
||||
| GLM-5.1 (32K+) | 对话 | ¥8.00 | ¥28.00 | 200000 |
|
||||
| GLM-4-AirX | 对话 | ¥10.00 | ¥10.00 | 8000 |
|
||||
| GLM-ASR-2512 | 对话 | ¥16.00 | 免费 | 8000 |
|
||||
| GLM-4V | 视觉 | ¥50.00 | ¥50.00 | 2000 |
|
||||
| GLM-4-Voice | 对话 | ¥80.00 | ¥80.00 | 8000 |
|
||||
| GLM-4-0520 | 对话 | ¥100.00 | ¥50.00 | 128000 |
|
||||
|
||||
**Moonshot** (3个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| Moonshot V1 8K | 对话 | ¥2.00 | ¥10.00 | 8192 |
|
||||
| Kimi K2 0905 Preview | 对话 | ¥4.00 | ¥16.00 | 262144 |
|
||||
| Kimi K2.6 | 视觉 | ¥6.50 | ¥27.00 | 262144 |
|
||||
|
||||
**Baidu Qianfan** (2个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| ERNIE 5.1 | 对话 | ¥22.00 | ¥22.00 | 0 |
|
||||
| ERNIE 5.0 | 对话 | ¥40.00 | ¥40.00 | 0 |
|
||||
|
||||
**DeepSeek** (2个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| DeepSeek V4 Flash | 对话 | ¥1.02 | ¥2.03 | 1000000 |
|
||||
| DeepSeek V4 Pro | 对话 | ¥3.15 | ¥6.31 | 1000000 |
|
||||
|
||||
### 💻 代码模型(19个)
|
||||
|
||||
| 模型 | 厂商 | 输入(原价) | 输出(原价) |
|
||||
|------|------|-----------|-----------|
|
||||
| Pareto Code Router | OpenRouter | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder Flash | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder Plus | Qwen | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.1-Codex-Mini | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.1-Codex | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.1-Codex-Max | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.2-Codex | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5 Codex | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.3-Codex | OpenAI | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder Next | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder 480B A35B | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder 480B A35B... | Qwen | 免费 | 免费 |
|
||||
| Kwaipilot: KAT-Coder-Pro V2 | kwaipilot | 免费 | 免费 |
|
||||
| xAI: Grok Code Fast 1 | xAI | 免费 | 免费 |
|
||||
| Mistral: Codestral 2508 | mistralai | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder 30B A3B I... | Qwen | 免费 | 免费 |
|
||||
| Qwen2.5 Coder 32B Instruct | Qwen | 免费 | 免费 |
|
||||
| Arcee AI: Coder Large | arcee-ai | 免费 | 免费 |
|
||||
| AlfredPros: CodeLLaMa 7B In... | alfredpros | 免费 | 免费 |
|
||||
|
||||
### 🧠 推理模型(35个)
|
||||
|
||||
| 模型 | 厂商 | 输入(原价) | 输出(原价) |
|
||||
|------|------|-----------|-----------|
|
||||
| Qwen: Qwen Plus 0728 (think... | Qwen | 免费 | 免费 |
|
||||
| Arcee AI: Trinity Large Thi... | arcee-ai | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Max Thinking | Qwen | 免费 | 免费 |
|
||||
| MoonshotAI: Kimi K2 Thinking | Moonshot AI | 免费 | 免费 |
|
||||
| Arcee AI: Trinity Large Thi... | arcee-ai | 免费 | 免费 |
|
||||
| OpenAI: o3 Mini High | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o3 Deep Research | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o4 Mini Deep Research | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o1 | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o3 Mini | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o4 Mini High | OpenAI | 免费 | 免费 |
|
||||
| Anthropic: Claude 3.7 Sonne... | Anthropic | 免费 | 免费 |
|
||||
| OpenAI: o3 Pro | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o1-pro | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o4 Mini | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o3 | OpenAI | 免费 | 免费 |
|
||||
| DeepSeek: R1 0528 | DeepSeek | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 8B Thinking | Qwen | 免费 | 免费 |
|
||||
| Sao10K: Llama 3.1 Euryale 7... | sao10k | 免费 | 免费 |
|
||||
| Qwen: Qwen3 30B A3B Thinkin... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 235B A22B Think... | Qwen | 免费 | 免费 |
|
||||
| Sao10K: Llama 3.3 Euryale 70B | sao10k | 免费 | 免费 |
|
||||
| Baidu: ERNIE 4.5 21B A3B Th... | Baidu | 免费 | 免费 |
|
||||
| DeepSeek: R1 Distill Llama 70B | DeepSeek | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Next 80B A3B Th... | Qwen | 免费 | 免费 |
|
||||
| Arcee AI: Maestro Reasoning | arcee-ai | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 30B A3B Thin... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 235B A22B Th... | Qwen | 免费 | 免费 |
|
||||
| Perplexity: Sonar Reasoning... | Perplexity | 免费 | 免费 |
|
||||
| DeepSeek: R1 | DeepSeek | 免费 | 免费 |
|
||||
| LiquidAI: LFM2.5-1.2B-Think... | liquid | 免费 | 免费 |
|
||||
| DeepSeek: R1 Distill Qwen 32B | DeepSeek | 免费 | 免费 |
|
||||
| Sao10K: Llama 3.1 70B Hanam... | sao10k | 免费 | 免费 |
|
||||
| Sao10k: Llama 3 Euryale 70B... | sao10k | 免费 | 免费 |
|
||||
| Sao10K: Llama 3 8B Lunaris | sao10k | 免费 | 免费 |
|
||||
|
||||
### 👁️ 视觉/多模态模型(15个)
|
||||
|
||||
| 模型 | 厂商 | 输入(原价) | 输出(原价) |
|
||||
|------|------|-----------|-----------|
|
||||
| Qwen: Qwen3 VL 235B A22B In... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 8B Thinking | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 8B Instruct | Qwen | 免费 | 免费 |
|
||||
| Meta: Llama 3.2 11B Vision ... | meta-llama | 免费 | 免费 |
|
||||
| Qwen: Qwen VL Max | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen VL Plus | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 30B A3B Thin... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 30B A3B Inst... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 32B Instruct | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 235B A22B Th... | Qwen | 免费 | 免费 |
|
||||
| NVIDIA: Nemotron Nano 12B 2... | NVIDIA | 免费 | 免费 |
|
||||
| Baidu: ERNIE 4.5 VL 424B A47B | Baidu | 免费 | 免费 |
|
||||
| MoonshotAI: Kimi K2.6 | Moonshot AI | 免费 | 免费 |
|
||||
| Qwen: Qwen2.5 VL 72B Instruct | Qwen | 免费 | 免费 |
|
||||
| Baidu: ERNIE 4.5 VL 28B A3B | Baidu | 免费 | 免费 |
|
||||
|
||||
## 🇨🇳 国内官方平台(5 家)
|
||||
|
||||
- **Baidu Qianfan**: 44 个模型,最低 ¥0.00/MTok
|
||||
- **Zhipu**: 29 个模型,最低 ¥0.18/MTok
|
||||
- **ByteDance Volcano**: 43 个模型,最低 ¥0.15/MTok
|
||||
- **Moonshot**: 3 个模型,最低 ¥2.00/MTok
|
||||
- **DeepSeek**: 2 个模型,最低 ¥0.14/MTok
|
||||
|
||||
## ☁️ 国际官方平台(1 家)
|
||||
|
||||
- **OpenAI**: 3 个模型,最低 $0.75/MTok
|
||||
|
||||
## 🔀 中转/聚合平台(1 家)
|
||||
|
||||
- **OpenRouter**: 379 个模型,最低 $0.00/MTok
|
||||
|
||||
---
|
||||
|
||||
📌 **说明**: 本报告由 LLM Intelligence Hub 自动生成。
|
||||
- 国际模型价格按 1 USD = 7.25 CNY 换算显示，括号内为原生货币价格
|
||||
- 国内模型价格为厂商原生 CNY 定价
|
||||
- 数据来源: OpenRouter API + 智谱AI + 百度千帆 + Moonshot + DeepSeek + OpenAI
|
||||
|
||||
_生成时间: 2026-05-13T08:00:01+08:00_
|
||||
27
reports/daily/daily_report_2026-05-09.md
Normal file
27
reports/daily/daily_report_2026-05-09.md
Normal file
@@ -0,0 +1,27 @@
|
||||
# LLM Intelligence Hub - 每日报告
|
||||
**报告日期**: 2026-05-09
|
||||
**原始采集时间**: 2026-05-09T21:30:54+08:00
|
||||
|
||||
## 概览
|
||||
|
||||
| 指标 | 数值 |
|
||||
|------|------|
|
||||
| 模型总数 | 2 |
|
||||
| 免费模型 | 1 |
|
||||
| 付费模型 | 1 |
|
||||
|
||||
## 免费模型 TOP 10（按上下文长度排序）
|
||||
|
||||
| 模型 | 上下文长度 | 特性 |
|
||||
|------|------------|------|
|
||||
| anthropic/claude-3.5-sonnet:free | 200000 | 无 |
|
||||
|
||||
## 低价模型 TOP 10（按输入价格升序，$/M Token）
|
||||
|
||||
| 模型 | 输入价格 | 输出价格 | 上下文长度 |
|
||||
|------|---------|---------|------------|
|
||||
| openai/gpt-4o | 2.5000 | 10.0000 | 128000 |
|
||||
|
||||
|
||||
---
|
||||
_由 LLM Intelligence Hub 自动生成 2026-05-09_
|
||||
409
reports/daily/daily_report_2026-05-10.md
Normal file
409
reports/daily/daily_report_2026-05-10.md
Normal file
@@ -0,0 +1,409 @@
|
||||
# 🤖 LLM Intelligence Hub - 每日情报报告
|
||||
|
||||
**报告日期**: 2026-05-10
|
||||
**生成时间**: 2026-05-10T23:02:31+08:00
|
||||
|
||||
## 📊 数据质量摘要
|
||||
|
||||
| 指标 | 数值 |
|
||||
|------|------|
|
||||
| 模型总数 | 377 |
|
||||
| 数据新鲜 | 368 |
|
||||
| 数据待补 | 9 |
|
||||
| CNY定价 | 0 |
|
||||
| USD定价 | 377 |
|
||||
| 厂商总数 | 60 |
|
||||
|
||||
## 🆓 免费模型 TOP 10
|
||||
|
||||
| 模型 | 厂商 | 上下文 |
|
||||
|------|------|--------|
|
||||
| openai/gpt-4o | Openai | 128000 |
|
||||
| anthropic/claude-3.5-sonnet:free | Anthropic | 200000 |
|
||||
| deepseek/deepseek-r1 | Deepseek | 64000 |
|
||||
| moonshotai/kimi-k2.6 | Moonshotai | 262144 |
|
||||
| moonshotai/kimi-k2.5 | Moonshotai | 262144 |
|
||||
| inclusionai/ring-2.6-1t:free | Inclusionai | 262144 |
|
||||
| google/gemini-3.1-flash-lite | Google | 1048576 |
|
||||
| baidu/cobuddy:free | Baidu | 131072 |
|
||||
| openai/gpt-chat-latest | Openai | 400000 |
|
||||
| x-ai/grok-4.3 | X Ai | 1000000 |
|
||||
| ibm-granite/granite-4.1-8b | Ibm Granite | 131072 |
|
||||
| mistralai/mistral-medium-3-5 | Mistralai | 262144 |
|
||||
| openrouter/owl-alpha | Openrouter | 1048756 |
|
||||
| nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free | Nvidia | 256000 |
|
||||
| poolside/laguna-xs.2:free | Poolside | 131072 |
|
||||
| poolside/laguna-m.1:free | Poolside | 131072 |
|
||||
| ~anthropic/claude-haiku-latest | ~anthropic | 200000 |
|
||||
| ~openai/gpt-mini-latest | ~openai | 400000 |
|
||||
| ~google/gemini-pro-latest | ~google | 1048576 |
|
||||
| ~moonshotai/kimi-latest | ~moonshotai | 262144 |
|
||||
| ~google/gemini-flash-latest | ~google | 1048576 |
|
||||
| ~anthropic/claude-sonnet-latest | ~anthropic | 1000000 |
|
||||
| ~openai/gpt-latest | ~openai | 1050000 |
|
||||
| qwen/qwen3.5-plus-20260420 | Qwen | 1000000 |
|
||||
| qwen/qwen3.6-flash | Qwen | 1000000 |
|
||||
| qwen/qwen3.6-35b-a3b | Qwen | 262144 |
|
||||
| qwen/qwen3.6-max-preview | Qwen | 262144 |
|
||||
| qwen/qwen3.6-27b | Qwen | 262144 |
|
||||
| openai/gpt-5.5-pro | Openai | 1050000 |
|
||||
| openai/gpt-5.5 | Openai | 1050000 |
|
||||
| deepseek/deepseek-v4-pro | Deepseek | 1048576 |
|
||||
| deepseek/deepseek-v4-flash | Deepseek | 1048576 |
|
||||
| inclusionai/ling-2.6-1t | Inclusionai | 262144 |
|
||||
| tencent/hy3-preview | Tencent | 262144 |
|
||||
| xiaomi/mimo-v2.5-pro | Xiaomi | 1048576 |
|
||||
| xiaomi/mimo-v2.5 | Xiaomi | 1048576 |
|
||||
| openai/gpt-5.4-image-2 | Openai | 272000 |
|
||||
| inclusionai/ling-2.6-flash | Inclusionai | 262144 |
|
||||
| ~anthropic/claude-opus-latest | ~anthropic | 1000000 |
|
||||
| openrouter/pareto-code | Openrouter | 2000000 |
|
||||
| baidu/qianfan-ocr-fast:free | Baidu | 65536 |
|
||||
| anthropic/claude-opus-4.7 | Anthropic | 1000000 |
|
||||
| anthropic/claude-opus-4.6-fast | Anthropic | 1000000 |
|
||||
| z-ai/glm-5.1 | Z Ai | 202752 |
|
||||
| google/gemma-4-26b-a4b-it:free | Google | 262144 |
|
||||
| google/gemma-4-26b-a4b-it | Google | 262144 |
|
||||
| google/gemma-4-31b-it:free | Google | 262144 |
|
||||
| google/gemma-4-31b-it | Google | 262144 |
|
||||
| qwen/qwen3.6-plus | Qwen | 1000000 |
|
||||
| z-ai/glm-5v-turbo | Z Ai | 202752 |
|
||||
| arcee-ai/trinity-large-thinking | Arcee Ai | 262144 |
|
||||
| x-ai/grok-4.20-multi-agent | X Ai | 2000000 |
|
||||
| x-ai/grok-4.20 | X Ai | 2000000 |
|
||||
| google/lyria-3-pro-preview | Google | 1048576 |
|
||||
| google/lyria-3-clip-preview | Google | 1048576 |
|
||||
| kwaipilot/kat-coder-pro-v2 | Kwaipilot | 256000 |
|
||||
| rekaai/reka-edge | Rekaai | 16384 |
|
||||
| xiaomi/mimo-v2-omni | Xiaomi | 262144 |
|
||||
| xiaomi/mimo-v2-pro | Xiaomi | 1048576 |
|
||||
| minimax/minimax-m2.7 | Minimax | 196608 |
|
||||
| openai/gpt-5.4-nano | Openai | 400000 |
|
||||
| openai/gpt-5.4-mini | Openai | 400000 |
|
||||
| mistralai/mistral-small-2603 | Mistralai | 262144 |
|
||||
| z-ai/glm-5-turbo | Z Ai | 202752 |
|
||||
| nvidia/nemotron-3-super-120b-a12b:free | Nvidia | 262144 |
|
||||
| nvidia/nemotron-3-super-120b-a12b | Nvidia | 262144 |
|
||||
| bytedance-seed/seed-2.0-lite | Bytedance Seed | 262144 |
|
||||
| qwen/qwen3.5-9b | Qwen | 262144 |
|
||||
| openai/gpt-5.4-pro | Openai | 1050000 |
|
||||
| openai/gpt-5.4 | Openai | 1050000 |
|
||||
| inception/mercury-2 | Inception | 128000 |
|
||||
| openai/gpt-5.3-chat | Openai | 128000 |
|
||||
| google/gemini-3.1-flash-lite-preview | Google | 1048576 |
|
||||
| bytedance-seed/seed-2.0-mini | Bytedance Seed | 262144 |
|
||||
| google/gemini-3.1-flash-image-preview | Google | 65536 |
|
||||
| qwen/qwen3.5-35b-a3b | Qwen | 262144 |
|
||||
| qwen/qwen3.5-27b | Qwen | 262144 |
|
||||
| qwen/qwen3.5-122b-a10b | Qwen | 262144 |
|
||||
| qwen/qwen3.5-flash-02-23 | Qwen | 1000000 |
|
||||
| liquid/lfm-2-24b-a2b | Liquid | 32768 |
|
||||
| google/gemini-3.1-pro-preview-customtools | Google | 1048576 |
|
||||
| openai/gpt-5.3-codex | Openai | 400000 |
|
||||
| aion-labs/aion-2.0 | Aion Labs | 131072 |
|
||||
| google/gemini-3.1-pro-preview | Google | 1048576 |
|
||||
| anthropic/claude-sonnet-4.6 | Anthropic | 1000000 |
|
||||
| qwen/qwen3.5-plus-02-15 | Qwen | 1000000 |
|
||||
| qwen/qwen3.5-397b-a17b | Qwen | 262144 |
|
||||
| minimax/minimax-m2.5:free | Minimax | 196608 |
|
||||
| minimax/minimax-m2.5 | Minimax | 196608 |
|
||||
| z-ai/glm-5 | Z Ai | 202752 |
|
||||
| qwen/qwen3-max-thinking | Qwen | 262144 |
|
||||
| anthropic/claude-opus-4.6 | Anthropic | 1000000 |
|
||||
| qwen/qwen3-coder-next | Qwen | 262144 |
|
||||
| openrouter/free | Openrouter | 200000 |
|
||||
| stepfun/step-3.5-flash | Stepfun | 262144 |
|
||||
| arcee-ai/trinity-large-preview | Arcee Ai | 131000 |
|
||||
| upstage/solar-pro-3 | Upstage | 128000 |
|
||||
| minimax/minimax-m2-her | Minimax | 65536 |
|
||||
| writer/palmyra-x5 | Writer | 1040000 |
|
||||
| liquid/lfm-2.5-1.2b-thinking:free | Liquid | 32768 |
|
||||
| liquid/lfm-2.5-1.2b-instruct:free | Liquid | 32768 |
|
||||
| openai/gpt-audio | Openai | 128000 |
|
||||
| openai/gpt-audio-mini | Openai | 128000 |
|
||||
| z-ai/glm-4.7-flash | Z Ai | 202752 |
|
||||
| openai/gpt-5.2-codex | Openai | 400000 |
|
||||
| bytedance-seed/seed-1.6-flash | Bytedance Seed | 262144 |
|
||||
| bytedance-seed/seed-1.6 | Bytedance Seed | 262144 |
|
||||
| minimax/minimax-m2.1 | Minimax | 196608 |
|
||||
| z-ai/glm-4.7 | Z Ai | 202752 |
|
||||
| google/gemini-3-flash-preview | Google | 1048576 |
|
||||
| xiaomi/mimo-v2-flash | Xiaomi | 262144 |
|
||||
| nvidia/nemotron-3-nano-30b-a3b:free | Nvidia | 256000 |
|
||||
| nvidia/nemotron-3-nano-30b-a3b | Nvidia | 262144 |
|
||||
| openai/gpt-5.2-chat | Openai | 128000 |
|
||||
| openai/gpt-5.2-pro | Openai | 400000 |
|
||||
| openai/gpt-5.2 | Openai | 400000 |
|
||||
| mistralai/devstral-2512 | Mistralai | 262144 |
|
||||
| relace/relace-search | Relace | 256000 |
|
||||
| z-ai/glm-4.6v | Z Ai | 131072 |
|
||||
| nex-agi/deepseek-v3.1-nex-n1 | Nex Agi | 131072 |
|
||||
| essentialai/rnj-1-instruct | Essentialai | 32768 |
|
||||
| openrouter/bodybuilder | Openrouter | 128000 |
|
||||
| openai/gpt-5.1-codex-max | Openai | 400000 |
|
||||
| amazon/nova-2-lite-v1 | Amazon | 1000000 |
|
||||
| mistralai/ministral-14b-2512 | Mistralai | 262144 |
|
||||
| mistralai/ministral-8b-2512 | Mistralai | 262144 |
|
||||
| mistralai/ministral-3b-2512 | Mistralai | 131072 |
|
||||
| mistralai/mistral-large-2512 | Mistralai | 262144 |
|
||||
| arcee-ai/trinity-mini | Arcee Ai | 131072 |
|
||||
| deepseek/deepseek-v3.2-speciale | Deepseek | 163840 |
|
||||
| deepseek/deepseek-v3.2 | Deepseek | 131072 |
|
||||
| prime-intellect/intellect-3 | Prime Intellect | 131072 |
|
||||
| anthropic/claude-opus-4.5 | Anthropic | 200000 |
|
||||
| allenai/olmo-3-32b-think | Allenai | 65536 |
|
||||
| google/gemini-3-pro-image-preview | Google | 65536 |
|
||||
| x-ai/grok-4.1-fast | X Ai | 2000000 |
|
||||
| deepcogito/cogito-v2.1-671b | Deepcogito | 128000 |
|
||||
| openai/gpt-5.1 | Openai | 400000 |
|
||||
| openai/gpt-5.1-chat | Openai | 128000 |
|
||||
| openai/gpt-5.1-codex | Openai | 400000 |
|
||||
| openai/gpt-5.1-codex-mini | Openai | 400000 |
|
||||
| moonshotai/kimi-k2-thinking | Moonshotai | 262144 |
|
||||
| amazon/nova-premier-v1 | Amazon | 1000000 |
|
||||
| perplexity/sonar-pro-search | Perplexity | 200000 |
|
||||
| mistralai/voxtral-small-24b-2507 | Mistralai | 32000 |
|
||||
| openai/gpt-oss-safeguard-20b | Openai | 131072 |
|
||||
| nvidia/nemotron-nano-12b-v2-vl:free | Nvidia | 128000 |
|
||||
| minimax/minimax-m2 | Minimax | 196608 |
|
||||
| qwen/qwen3-vl-32b-instruct | Qwen | 131072 |
|
||||
| ibm-granite/granite-4.0-h-micro | Ibm Granite | 131000 |
|
||||
| microsoft/phi-4-mini-instruct | Microsoft | 128000 |
|
||||
| openai/gpt-5-image-mini | Openai | 400000 |
|
||||
| anthropic/claude-haiku-4.5 | Anthropic | 200000 |
|
||||
| qwen/qwen3-vl-8b-thinking | Qwen | 131072 |
|
||||
| qwen/qwen3-vl-8b-instruct | Qwen | 131072 |
|
||||
| openai/gpt-5-image | Openai | 400000 |
|
||||
| openai/o3-deep-research | Openai | 200000 |
|
||||
| openai/o4-mini-deep-research | Openai | 200000 |
|
||||
| nvidia/llama-3.3-nemotron-super-49b-v1.5 | Nvidia | 131072 |
|
||||
| baidu/ernie-4.5-21b-a3b-thinking | Baidu | 131072 |
|
||||
| google/gemini-2.5-flash-image | Google | 32768 |
|
||||
| qwen/qwen3-vl-30b-a3b-thinking | Qwen | 131072 |
|
||||
| qwen/qwen3-vl-30b-a3b-instruct | Qwen | 131072 |
|
||||
| openai/gpt-5-pro | Openai | 400000 |
|
||||
| z-ai/glm-4.6 | Z Ai | 204800 |
|
||||
| anthropic/claude-sonnet-4.5 | Anthropic | 1000000 |
|
||||
| deepseek/deepseek-v3.2-exp | Deepseek | 163840 |
|
||||
| thedrummer/cydonia-24b-v4.1 | Thedrummer | 131072 |
|
||||
| relace/relace-apply-3 | Relace | 256000 |
|
||||
| google/gemini-2.5-flash-lite-preview-09-2025 | Google | 1048576 |
|
||||
| qwen/qwen3-vl-235b-a22b-thinking | Qwen | 131072 |
|
||||
| qwen/qwen3-vl-235b-a22b-instruct | Qwen | 262144 |
|
||||
| qwen/qwen3-max | Qwen | 262144 |
|
||||
| qwen/qwen3-coder-plus | Qwen | 1000000 |
|
||||
| openai/gpt-5-codex | Openai | 400000 |
|
||||
| deepseek/deepseek-v3.1-terminus | Deepseek | 163840 |
|
||||
| x-ai/grok-4-fast | X Ai | 2000000 |
|
||||
| alibaba/tongyi-deepresearch-30b-a3b | Alibaba | 131072 |
|
||||
| qwen/qwen3-coder-flash | Qwen | 1000000 |
|
||||
| qwen/qwen3-next-80b-a3b-thinking | Qwen | 131072 |
|
||||
| qwen/qwen3-next-80b-a3b-instruct:free | Qwen | 262144 |
|
||||
| qwen/qwen3-next-80b-a3b-instruct | Qwen | 262144 |
|
||||
| qwen/qwen-plus-2025-07-28:thinking | Qwen | 1000000 |
|
||||
| qwen/qwen-plus-2025-07-28 | Qwen | 1000000 |
|
||||
| nvidia/nemotron-nano-9b-v2:free | Nvidia | 128000 |
|
||||
| nvidia/nemotron-nano-9b-v2 | Nvidia | 131072 |
|
||||
| moonshotai/kimi-k2-0905 | Moonshotai | 262144 |
|
||||
| qwen/qwen3-30b-a3b-thinking-2507 | Qwen | 131072 |
|
||||
| x-ai/grok-code-fast-1 | X Ai | 256000 |
|
||||
| nousresearch/hermes-4-70b | Nousresearch | 131072 |
|
||||
| nousresearch/hermes-4-405b | Nousresearch | 131072 |
|
||||
| deepseek/deepseek-chat-v3.1 | Deepseek | 32768 |
|
||||
| openai/gpt-4o-audio-preview | Openai | 128000 |
|
||||
| mistralai/mistral-medium-3.1 | Mistralai | 131072 |
|
||||
| baidu/ernie-4.5-21b-a3b | Baidu | 120000 |
|
||||
| baidu/ernie-4.5-vl-28b-a3b | Baidu | 30000 |
|
||||
| z-ai/glm-4.5v | Z Ai | 65536 |
|
||||
| ai21/jamba-large-1.7 | Ai21 | 256000 |
|
||||
| openai/gpt-5-chat | Openai | 128000 |
|
||||
| openai/gpt-5 | Openai | 400000 |
|
||||
| openai/gpt-5-mini | Openai | 400000 |
|
||||
| openai/gpt-5-nano | Openai | 400000 |
|
||||
| openai/gpt-oss-120b:free | Openai | 131072 |
|
||||
| openai/gpt-oss-120b | Openai | 131072 |
|
||||
| openai/gpt-oss-20b:free | Openai | 131072 |
|
||||
| openai/gpt-oss-20b | Openai | 131072 |
|
||||
| anthropic/claude-opus-4.1 | Anthropic | 200000 |
|
||||
| mistralai/codestral-2508 | Mistralai | 256000 |
|
||||
| qwen/qwen3-coder-30b-a3b-instruct | Qwen | 160000 |
|
||||
| qwen/qwen3-30b-a3b-instruct-2507 | Qwen | 262144 |
|
||||
| z-ai/glm-4.5 | Z Ai | 131072 |
|
||||
| z-ai/glm-4.5-air:free | Z Ai | 131072 |
|
||||
| z-ai/glm-4.5-air | Z Ai | 131072 |
|
||||
| qwen/qwen3-235b-a22b-thinking-2507 | Qwen | 131072 |
|
||||
| z-ai/glm-4-32b | Z Ai | 128000 |
|
||||
| qwen/qwen3-coder:free | Qwen | 262000 |
|
||||
| qwen/qwen3-coder | Qwen | 262144 |
|
||||
| bytedance/ui-tars-1.5-7b | Bytedance | 128000 |
|
||||
| google/gemini-2.5-flash-lite | Google | 1048576 |
|
||||
| qwen/qwen3-235b-a22b-2507 | Qwen | 262144 |
|
||||
| switchpoint/router | Switchpoint | 131072 |
|
||||
| moonshotai/kimi-k2 | Moonshotai | 131072 |
|
||||
| mistralai/devstral-medium | Mistralai | 131072 |
|
||||
| mistralai/devstral-small | Mistralai | 131072 |
|
||||
| cognitivecomputations/dolphin-mistral-24b-venice-edition:free | Cognitivecomputations | 32768 |
|
||||
| x-ai/grok-4 | X Ai | 256000 |
|
||||
| tencent/hunyuan-a13b-instruct | Tencent | 131072 |
|
||||
| morph/morph-v3-large | Morph | 262144 |
|
||||
| morph/morph-v3-fast | Morph | 81920 |
|
||||
| baidu/ernie-4.5-vl-424b-a47b | Baidu | 123000 |
|
||||
| baidu/ernie-4.5-300b-a47b | Baidu | 123000 |
|
||||
| mistralai/mistral-small-3.2-24b-instruct | Mistralai | 128000 |
|
||||
| minimax/minimax-m1 | Minimax | 1000000 |
|
||||
| google/gemini-2.5-flash | Google | 1048576 |
|
||||
| google/gemini-2.5-pro | Google | 1048576 |
|
||||
| openai/o3-pro | Openai | 200000 |
|
||||
| x-ai/grok-3-mini | X Ai | 131072 |
|
||||
| x-ai/grok-3 | X Ai | 131072 |
|
||||
| google/gemini-2.5-pro-preview | Google | 1048576 |
|
||||
| deepseek/deepseek-r1-0528 | Deepseek | 163840 |
|
||||
| anthropic/claude-opus-4 | Anthropic | 200000 |
|
||||
| anthropic/claude-sonnet-4 | Anthropic | 1000000 |
|
||||
| google/gemma-3n-e4b-it | Google | 32768 |
|
||||
| mistralai/mistral-medium-3 | Mistralai | 131072 |
|
||||
| google/gemini-2.5-pro-preview-05-06 | Google | 1048576 |
|
||||
| arcee-ai/spotlight | Arcee Ai | 131072 |
|
||||
| arcee-ai/maestro-reasoning | Arcee Ai | 131072 |
|
||||
| arcee-ai/virtuoso-large | Arcee Ai | 131072 |
|
||||
| arcee-ai/coder-large | Arcee Ai | 32768 |
|
||||
| meta-llama/llama-guard-4-12b | Meta Llama | 163840 |
|
||||
| qwen/qwen3-30b-a3b | Qwen | 40960 |
|
||||
| qwen/qwen3-8b | Qwen | 40960 |
|
||||
| qwen/qwen3-14b | Qwen | 40960 |
|
||||
| qwen/qwen3-32b | Qwen | 40960 |
|
||||
| qwen/qwen3-235b-a22b | Qwen | 131072 |
|
||||
| openai/o4-mini-high | Openai | 200000 |
|
||||
| openai/o3 | Openai | 200000 |
|
||||
| openai/o4-mini | Openai | 200000 |
|
||||
| openai/gpt-4.1 | Openai | 1047576 |
|
||||
| openai/gpt-4.1-mini | Openai | 1047576 |
|
||||
| openai/gpt-4.1-nano | Openai | 1047576 |
|
||||
| alfredpros/codellama-7b-instruct-solidity | Alfredpros | 4096 |
|
||||
| x-ai/grok-3-mini-beta | X Ai | 131072 |
|
||||
| x-ai/grok-3-beta | X Ai | 131072 |
|
||||
| meta-llama/llama-4-maverick | Meta Llama | 1048576 |
|
||||
| meta-llama/llama-4-scout | Meta Llama | 327680 |
|
||||
| deepseek/deepseek-chat-v3-0324 | Deepseek | 163840 |
|
||||
| openai/o1-pro | Openai | 200000 |
|
||||
| mistralai/mistral-small-3.1-24b-instruct | Mistralai | 128000 |
|
||||
| google/gemma-3-4b-it | Google | 131072 |
|
||||
| google/gemma-3-12b-it | Google | 131072 |
|
||||
| cohere/command-a | Cohere | 256000 |
|
||||
| openai/gpt-4o-mini-search-preview | Openai | 128000 |
|
||||
| openai/gpt-4o-search-preview | Openai | 128000 |
|
||||
| rekaai/reka-flash-3 | Rekaai | 65536 |
|
||||
| google/gemma-3-27b-it | Google | 131072 |
|
||||
| thedrummer/skyfall-36b-v2 | Thedrummer | 32768 |
|
||||
| perplexity/sonar-reasoning-pro | Perplexity | 128000 |
|
||||
| perplexity/sonar-pro | Perplexity | 200000 |
|
||||
| perplexity/sonar-deep-research | Perplexity | 128000 |
|
||||
| google/gemini-2.0-flash-lite-001 | Google | 1048576 |
|
||||
| anthropic/claude-3.7-sonnet | Anthropic | 200000 |
|
||||
| anthropic/claude-3.7-sonnet:thinking | Anthropic | 200000 |
|
||||
| mistralai/mistral-saba | Mistralai | 32768 |
|
||||
| meta-llama/llama-guard-3-8b | Meta Llama | 131072 |
|
||||
| openai/o3-mini-high | Openai | 200000 |
|
||||
| google/gemini-2.0-flash-001 | Google | 1000000 |
|
||||
| qwen/qwen-vl-plus | Qwen | 131072 |
|
||||
| aion-labs/aion-1.0 | Aion Labs | 131072 |
|
||||
| aion-labs/aion-1.0-mini | Aion Labs | 131072 |
|
||||
| aion-labs/aion-rp-llama-3.1-8b | Aion Labs | 32768 |
|
||||
| qwen/qwen-vl-max | Qwen | 131072 |
|
||||
| qwen/qwen-turbo | Qwen | 131072 |
|
||||
| qwen/qwen2.5-vl-72b-instruct | Qwen | 32000 |
|
||||
| qwen/qwen-plus | Qwen | 1000000 |
|
||||
| qwen/qwen-max | Qwen | 32768 |
|
||||
| openai/o3-mini | Openai | 200000 |
|
||||
| mistralai/mistral-small-24b-instruct-2501 | Mistralai | 32768 |
|
||||
| deepseek/deepseek-r1-distill-qwen-32b | Deepseek | 32768 |
|
||||
| perplexity/sonar | Perplexity | 127072 |
|
||||
| deepseek/deepseek-r1-distill-llama-70b | Deepseek | 131072 |
|
||||
| minimax/minimax-01 | Minimax | 1000192 |
|
||||
| microsoft/phi-4 | Microsoft | 16384 |
|
||||
| sao10k/l3.1-70b-hanami-x1 | Sao10k | 16000 |
|
||||
| deepseek/deepseek-chat | Deepseek | 163840 |
|
||||
| sao10k/l3.3-euryale-70b | Sao10k | 131072 |
|
||||
| openai/o1 | Openai | 200000 |
|
||||
| cohere/command-r7b-12-2024 | Cohere | 128000 |
|
||||
| meta-llama/llama-3.3-70b-instruct:free | Meta Llama | 65536 |
|
||||
| meta-llama/llama-3.3-70b-instruct | Meta Llama | 131072 |
|
||||
| amazon/nova-lite-v1 | Amazon | 300000 |
|
||||
| amazon/nova-micro-v1 | Amazon | 128000 |
|
||||
| amazon/nova-pro-v1 | Amazon | 300000 |
|
||||
| openai/gpt-4o-2024-11-20 | Openai | 128000 |
|
||||
| mistralai/mistral-large-2411 | Mistralai | 131072 |
|
||||
| mistralai/mistral-large-2407 | Mistralai | 131072 |
|
||||
| mistralai/pixtral-large-2411 | Mistralai | 131072 |
|
||||
| qwen/qwen-2.5-coder-32b-instruct | Qwen | 32768 |
|
||||
| thedrummer/unslopnemo-12b | Thedrummer | 32768 |
|
||||
| anthropic/claude-3.5-haiku | Anthropic | 200000 |
|
||||
| anthracite-org/magnum-v4-72b | Anthracite Org | 16384 |
|
||||
| qwen/qwen-2.5-7b-instruct | Qwen | 32768 |
|
||||
| inflection/inflection-3-productivity | Inflection | 8000 |
|
||||
| inflection/inflection-3-pi | Inflection | 8000 |
|
||||
| thedrummer/rocinante-12b | Thedrummer | 32768 |
|
||||
| meta-llama/llama-3.2-3b-instruct:free | Meta Llama | 131072 |
|
||||
| meta-llama/llama-3.2-3b-instruct | Meta Llama | 80000 |
|
||||
| meta-llama/llama-3.2-1b-instruct | Meta Llama | 60000 |
|
||||
| meta-llama/llama-3.2-11b-vision-instruct | Meta Llama | 131072 |
|
||||
| qwen/qwen-2.5-72b-instruct | Qwen | 32768 |
|
||||
| cohere/command-r-plus-08-2024 | Cohere | 128000 |
|
||||
| cohere/command-r-08-2024 | Cohere | 128000 |
|
||||
| sao10k/l3.1-euryale-70b | Sao10k | 131072 |
|
||||
| nousresearch/hermes-3-llama-3.1-70b | Nousresearch | 131072 |
|
||||
| nousresearch/hermes-3-llama-3.1-405b:free | Nousresearch | 131072 |
|
||||
| nousresearch/hermes-3-llama-3.1-405b | Nousresearch | 131072 |
|
||||
| sao10k/l3-lunaris-8b | Sao10k | 8192 |
|
||||
| openai/gpt-4o-2024-08-06 | Openai | 128000 |
|
||||
| meta-llama/llama-3.1-8b-instruct | Meta Llama | 16384 |
|
||||
| meta-llama/llama-3.1-70b-instruct | Meta Llama | 131072 |
|
||||
| mistralai/mistral-nemo | Mistralai | 131072 |
|
||||
| openai/gpt-4o-mini-2024-07-18 | Openai | 128000 |
|
||||
| openai/gpt-4o-mini | Openai | 128000 |
|
||||
| google/gemma-2-27b-it | Google | 8192 |
|
||||
| sao10k/l3-euryale-70b | Sao10k | 8192 |
|
||||
| nousresearch/hermes-2-pro-llama-3-8b | Nousresearch | 8192 |
|
||||
| openai/gpt-4o-2024-05-13 | Openai | 128000 |
|
||||
| meta-llama/llama-3-8b-instruct | Meta Llama | 8192 |
|
||||
| meta-llama/llama-3-70b-instruct | Meta Llama | 8192 |
|
||||
| mistralai/mixtral-8x22b-instruct | Mistralai | 65536 |
|
||||
| microsoft/wizardlm-2-8x22b | Microsoft | 65535 |
|
||||
| openai/gpt-4-turbo | Openai | 128000 |
|
||||
| anthropic/claude-3-haiku | Anthropic | 200000 |
|
||||
| mistralai/mistral-large | Mistralai | 128000 |
|
||||
| openai/gpt-4-turbo-preview | Openai | 128000 |
|
||||
| openai/gpt-3.5-turbo-0613 | Openai | 4095 |
|
||||
| alpindale/goliath-120b | Alpindale | 6144 |
|
||||
| openrouter/auto | Openrouter | 2000000 |
|
||||
| openai/gpt-4-1106-preview | Openai | 128000 |
|
||||
| openai/gpt-3.5-turbo-instruct | Openai | 4095 |
|
||||
| mistralai/mistral-7b-instruct-v0.1 | Mistralai | 2824 |
|
||||
| openai/gpt-3.5-turbo-16k | Openai | 16385 |
|
||||
| mancer/weaver | Mancer | 8000 |
|
||||
| undi95/remm-slerp-l2-13b | Undi95 | 6144 |
|
||||
| gryphe/mythomax-l2-13b | Gryphe | 4096 |
|
||||
| openai/gpt-4-0314 | Openai | 8191 |
|
||||
| openai/gpt-4 | Openai | 8191 |
|
||||
| openai/gpt-3.5-turbo | Openai | 16385 |
|
||||
|
||||
## 📏 大上下文模型 TOP 10
|
||||
|
||||
| 排名 | 模型 | 厂商 | 上下文长度 |
|
||||
|------|------|------|------------|
|
||||
| 1 | openrouter/auto | Openrouter | 2000000 |
|
||||
| 2 | x-ai/grok-4.1-fast | X Ai | 2000000 |
|
||||
| 3 | x-ai/grok-4.20 | X Ai | 2000000 |
|
||||
| 4 | x-ai/grok-4.20-multi-agent | X Ai | 2000000 |
|
||||
| 5 | openrouter/pareto-code | Openrouter | 2000000 |
|
||||
| 6 | x-ai/grok-4-fast | X Ai | 2000000 |
|
||||
| 7 | openai/gpt-5.4 | Openai | 1050000 |
|
||||
| 8 | openai/gpt-5.4-pro | Openai | 1050000 |
|
||||
| 9 | openai/gpt-5.5 | Openai | 1050000 |
|
||||
| 10 | openai/gpt-5.5-pro | Openai | 1050000 |
|
||||
|
||||
---
|
||||
|
||||
📌 **说明**: 本报告由 LLM Intelligence Hub 自动生成。价格单位：USD/1M tokens。
|
||||
|
||||
_生成时间: 2026-05-10T23:02:31+08:00_
|
||||
350
reports/daily/daily_report_2026-05-11.md
Normal file
350
reports/daily/daily_report_2026-05-11.md
Normal file
@@ -0,0 +1,350 @@
|
||||
# 🤖 LLM Intelligence Hub - 每日情报报告
|
||||
|
||||
**报告日期**: 2026-05-11
|
||||
**生成时间**: 2026-05-11T23:19:30+08:00
|
||||
|
||||
## 📊 数据质量摘要
|
||||
|
||||
| 指标 | 数值 |
|
||||
|------|------|
|
||||
| 模型总数 | 501 |
|
||||
| 数据新鲜 | 458 |
|
||||
| CNY定价 | 126 |
|
||||
| USD定价 | 375 |
|
||||
| 厂商总数 | 81 |
|
||||
|
||||
## 🆓 免费模型(共 372 个)
|
||||
|
||||
**按国家分布**: US 145个, 国际 143个, CN 84个
|
||||
|
||||
**代表性模型(前20个)**:
|
||||
|
||||
| 模型 | 厂商 | 国家 | 上下文 |
|
||||
|------|------|------|--------|
|
||||
| Auto Router | OpenRouter | US | 2000000 |
|
||||
| xAI: Grok 4.20 | xAI | US | 2000000 |
|
||||
| xAI: Grok 4.20 Multi-Agent | xAI | US | 2000000 |
|
||||
| Pareto Code Router | OpenRouter | US | 2000000 |
|
||||
| xAI: Grok 4 Fast | xAI | US | 2000000 |
|
||||
| xAI: Grok 4.1 Fast | xAI | US | 2000000 |
|
||||
| OpenAI: GPT-5.4 | OpenAI | US | 1050000 |
|
||||
| OpenAI: GPT-5.4 Pro | OpenAI | US | 1050000 |
|
||||
| OpenAI: GPT-5.5 | OpenAI | US | 1050000 |
|
||||
| OpenAI: GPT-5.5 Pro | OpenAI | US | 1050000 |
|
||||
| OpenAI GPT Latest | ~openai | 国际 | 1050000 |
|
||||
| Owl Alpha | OpenRouter | US | 1048756 |
|
||||
| Google: Gemini 2.5 Flash Lite | Google | US | 1048576 |
|
||||
| DeepSeek: DeepSeek V4 Flash | DeepSeek | CN | 1048576 |
|
||||
| Google: Gemini 3.1 Pro Preview | Google | US | 1048576 |
|
||||
| Google: Gemini 3.1 Pro Preview Custom Tools | Google | US | 1048576 |
|
||||
| Google: Gemini 2.0 Flash Lite | Google | US | 1048576 |
|
||||
| Google: Gemini 2.5 Pro Preview 05-06 | Google | US | 1048576 |
|
||||
| Google Gemini Pro Latest | ~google | 国际 | 1048576 |
|
||||
| Google: Gemini 2.5 Pro Preview 06-05 | Google | US | 1048576 |
|
||||
| ... | ... | ... | ... |
|
||||
|
||||
> 共 372 个免费模型,以上为前20个代表性模型
|
||||
|
||||
## 🌍 国际推荐模型 TOP 5
|
||||
|
||||
| 排名 | 模型 | 厂商 | 场景 | 输入(原价) | 输出(原价) | 上下文 |
|
||||
|------|------|------|------|-----------|-----------|--------|
|
||||
| 1 | Qwen3-VL-8B | Alibaba | 视觉 | ¥0.20 | ¥0.50 | 32000 |
|
||||
| 2 | Qwen3-VL-32B | Alibaba | 视觉 | ¥0.50 | ¥1.00 | 32000 |
|
||||
| 3 | GPT-5.4 Mini | OpenAI | 对话 | $0.75 | $4.50 | 200000 |
|
||||
| 4 | Doubao-Pro | ByteDance | 视觉 | ¥0.80 | ¥2.00 | 32000 |
|
||||
| 5 | DeepSeek-V3 | DeepSeek | 对话 | ¥1.00 | ¥2.00 | 64000 |
|
||||
|
||||
## 🇨🇳 国内模型 TOP 10
|
||||
|
||||
| 排名 | 模型 | 厂商 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|------|------|-----------|-----------|--------|
|
||||
| 1 | DeepSeek V4 Flash | DeepSeek | 对话 | ¥1.02 | ¥2.03 | 1000000 |
|
||||
| 2 | doubao-seed-1.6-flash | ByteDance | 对话 | ¥0.15 | ¥0.30 | 32000 |
|
||||
| 3 | GLM-4.6V-FlashX | Zhipu AI | 视觉 | ¥0.15 | ¥1.50 | 8000 |
|
||||
| 4 | GLM-Realtime-Flash | Zhipu AI | 对话 | ¥0.18 | ¥0.18 | 8000 |
|
||||
| 5 | doubao-seed-2.0-mini | ByteDance | 对话 | ¥0.20 | ¥0.40 | 32000 |
|
||||
| 6 | doubao-seed-1.6-lite | ByteDance | 对话 | ¥0.30 | ¥0.60 | 32000 |
|
||||
| 7 | doubao-seed-1.6-flash-128k | ByteDance | 对话 | ¥0.30 | ¥0.60 | 128000 |
|
||||
| 8 | GLM-Realtime-Air | Zhipu AI | 对话 | ¥0.30 | ¥0.30 | 8000 |
|
||||
| 9 | doubao-1.5-lite-32k | ByteDance | 对话 | ¥0.30 | ¥0.60 | 32000 |
|
||||
| 10 | doubao-seed-2.0-mini-128k | ByteDance | 对话 | ¥0.40 | ¥0.80 | 128000 |
|
||||
| 11 | DeepSeek V4 Pro | DeepSeek | 对话 | ¥3.15 | ¥6.31 | 1000000 |
|
||||
| 12 | GLM-4.7-FlashX | Zhipu AI | 对话 | ¥0.50 | ¥3.00 | 200000 |
|
||||
| 13 | GLM-4-Air | Zhipu AI | 对话 | ¥0.50 | ¥0.25 | 128000 |
|
||||
| 14 | doubao-seed-1.6-lite-128k | ByteDance | 对话 | ¥0.60 | ¥1.20 | 128000 |
|
||||
| 15 | doubao-seed-1.6-flash-256k | ByteDance | 对话 | ¥0.60 | ¥1.20 | 256000 |
|
||||
| 16 | doubao-seed-2.0-lite | ByteDance | 对话 | ¥0.60 | ¥1.20 | 32000 |
|
||||
| 17 | doubao-seed-character | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 18 | doubao-seed-1.8 | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 19 | doubao-seed-1.6 | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 20 | GLM-4.5-Air | Zhipu AI | 对话 | ¥0.80 | ¥2.00 | 32000 |
|
||||
| 21 | doubao-pro-32k | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 22 | doubao-seed-1.6-vision | ByteDance | 视觉 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 23 | doubao-1.5-pro-32k | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 24 | doubao-seed-2.0-mini-256k | ByteDance | 对话 | ¥0.80 | ¥1.60 | 256000 |
|
||||
| 25 | doubao-seed-2.0-lite-128k | ByteDance | 对话 | ¥0.90 | ¥1.80 | 128000 |
|
||||
| 26 | GLM-4-Long | Zhipu AI | 对话 | ¥1.00 | ¥0.50 | 1000000 |
|
||||
| 27 | doubao-seed-1.8-128k | ByteDance | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| 28 | GLM-4.5-Air (32K+) | Zhipu AI | 对话 | ¥1.20 | ¥8.00 | 128000 |
|
||||
| 29 | doubao-seed-code | ByteDance | 代码 | ¥1.20 | ¥2.40 | 32000 |
|
||||
| 30 | doubao-seed-1.6-vision-128k | ByteDance | 视觉 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| 31 | doubao-seed-1.6-lite-256k | ByteDance | 对话 | ¥1.20 | ¥2.40 | 256000 |
|
||||
| 32 | doubao-seed-1.6-128k | ByteDance | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| 33 | doubao-seed-character-128k | ByteDance | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| 34 | doubao-seed-code-128k | ByteDance | 代码 | ¥1.40 | ¥2.80 | 128000 |
|
||||
| 35 | doubao-seed-2.0-lite-256k | ByteDance | 对话 | ¥1.80 | ¥3.60 | 256000 |
|
||||
| 36 | deepseek-v3 | ByteDance | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| 37 | GLM-4.7 | Zhipu AI | 对话 | ¥2.00 | ¥8.00 | 32000 |
|
||||
| 38 | GLM-4.5V | Zhipu AI | 视觉 | ¥2.00 | ¥6.00 | 32000 |
|
||||
| 39 | GLM-4.6V | Zhipu AI | 视觉 | ¥2.00 | ¥6.00 | 8000 |
|
||||
| 40 | Moonshot V1 8K | Moonshot AI | 对话 | ¥2.00 | ¥10.00 | 8192 |
|
||||
| 41 | deepseek-v3.2 | ByteDance | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| 42 | GLM-TTS | Zhipu AI | 对话 | ¥2.00 | 免费 | 8000 |
|
||||
| 43 | glm-4.7 | ByteDance | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| 44 | doubao-seed-1.6-vision-256k | ByteDance | 视觉 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| 45 | doubao-seed-1.8-256k | ByteDance | 对话 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| 46 | doubao-seed-1.6-256k | ByteDance | 对话 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| 47 | doubao-seed-code-256k | ByteDance | 代码 | ¥2.80 | ¥5.60 | 256000 |
|
||||
| 48 | doubao-1.5-vision-pro | ByteDance | 视觉 | ¥3.00 | ¥6.00 | 32000 |
|
||||
| 49 | doubao-seed-2.0-code | ByteDance | 代码 | ¥3.20 | ¥6.40 | 32000 |
|
||||
| 50 | doubao-seed-2.0-pro | ByteDance | 对话 | ¥3.20 | ¥6.40 | 32000 |
|
||||
| 51 | deepseek-v3.1 | ByteDance | 对话 | ¥4.00 | ¥8.00 | 32000 |
|
||||
| 52 | Kimi K2 0905 Preview | Moonshot AI | 对话 | ¥4.00 | ¥16.00 | 262144 |
|
||||
| 53 | glm-4.7-128k | ByteDance | 对话 | ¥4.00 | ¥8.00 | 128000 |
|
||||
| 54 | GLM-5 | Zhipu AI | 对话 | ¥4.00 | ¥18.00 | 32000 |
|
||||
| 55 | deepseek-v3.2-128k | ByteDance | 对话 | ¥4.00 | ¥8.00 | 128000 |
|
||||
| 56 | GLM-4.7 (32K+) | Zhipu AI | 对话 | ¥4.00 | ¥16.00 | 200000 |
|
||||
| 57 | deepseek-r1 | ByteDance | 推理 | ¥4.00 | ¥8.00 | 32000 |
|
||||
| 58 | GLM-4V-Plus | Zhipu AI | 视觉 | ¥4.00 | ¥4.00 | 8000 |
|
||||
| 59 | doubao-seed-2.0-code-128k | ByteDance | 代码 | ¥4.80 | ¥9.60 | 128000 |
|
||||
| 60 | doubao-seed-2.0-pro-128k | ByteDance | 对话 | ¥4.80 | ¥9.60 | 128000 |
|
||||
| 61 | GLM-5-Turbo | Zhipu AI | 对话 | ¥5.00 | ¥22.00 | 32000 |
|
||||
| 62 | GLM-TTS-Clone | Zhipu AI | 对话 | ¥6.00 | 免费 | 8000 |
|
||||
| 63 | GLM-5 (32K+) | Zhipu AI | 对话 | ¥6.00 | ¥22.00 | 200000 |
|
||||
| 64 | GLM-5.1 | Zhipu AI | 对话 | ¥6.00 | ¥24.00 | 32000 |
|
||||
| 65 | Kimi K2.6 | Moonshot AI | 视觉 | ¥6.50 | ¥27.00 | 262144 |
|
||||
| 66 | GLM-5-Turbo (32K+) | Zhipu AI | 对话 | ¥7.00 | ¥26.00 | 200000 |
|
||||
| 67 | GLM-5.1 (32K+) | Zhipu AI | 对话 | ¥8.00 | ¥28.00 | 200000 |
|
||||
| 68 | doubao-seed-2.0-code-256k | ByteDance | 代码 | ¥9.60 | ¥19.20 | 256000 |
|
||||
| 69 | doubao-seed-2.0-pro-256k | ByteDance | 对话 | ¥9.60 | ¥19.20 | 256000 |
|
||||
| 70 | GLM-4-AirX | Zhipu AI | 对话 | ¥10.00 | ¥10.00 | 8000 |
|
||||
| 71 | GLM-ASR-2512 | Zhipu AI | 对话 | ¥16.00 | 免费 | 8000 |
|
||||
| 72 | ERNIE 5.1 | Baidu | 对话 | ¥22.00 | ¥22.00 | 0 |
|
||||
| 73 | ERNIE 5.0 | Baidu | 对话 | ¥40.00 | ¥40.00 | 0 |
|
||||
| 74 | GLM-4V | Zhipu AI | 视觉 | ¥50.00 | ¥50.00 | 2000 |
|
||||
| 75 | GLM-4-Voice | Zhipu AI | 对话 | ¥80.00 | ¥80.00 | 8000 |
|
||||
| 76 | GLM-4-0520 | Zhipu AI | 对话 | ¥100.00 | ¥50.00 | 128000 |
|
||||
|
||||
## 📊 模型分类概览
|
||||
|
||||
### 🇨🇳 国内官方平台模型
|
||||
|
||||
**DeepSeek** (2个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| DeepSeek V4 Flash | 对话 | ¥1.02 | ¥2.03 | 1000000 |
|
||||
| DeepSeek V4 Pro | 对话 | ¥3.15 | ¥6.31 | 1000000 |
|
||||
|
||||
**ByteDance Volcano** (43个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| doubao-seed-1.6-flash | 对话 | ¥0.15 | ¥0.30 | 32000 |
|
||||
| doubao-seed-2.0-mini | 对话 | ¥0.20 | ¥0.40 | 32000 |
|
||||
| doubao-seed-1.6-lite | 对话 | ¥0.30 | ¥0.60 | 32000 |
|
||||
| doubao-seed-1.6-flash-128k | 对话 | ¥0.30 | ¥0.60 | 128000 |
|
||||
| doubao-1.5-lite-32k | 对话 | ¥0.30 | ¥0.60 | 32000 |
|
||||
| doubao-seed-2.0-mini-128k | 对话 | ¥0.40 | ¥0.80 | 128000 |
|
||||
| doubao-seed-1.6-lite-128k | 对话 | ¥0.60 | ¥1.20 | 128000 |
|
||||
| doubao-seed-1.6-flash-256k | 对话 | ¥0.60 | ¥1.20 | 256000 |
|
||||
| doubao-seed-2.0-lite | 对话 | ¥0.60 | ¥1.20 | 32000 |
|
||||
| doubao-seed-character | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-seed-1.8 | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-seed-1.6 | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-pro-32k | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-seed-1.6-vision | 视觉 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-1.5-pro-32k | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-seed-2.0-mini-256k | 对话 | ¥0.80 | ¥1.60 | 256000 |
|
||||
| doubao-seed-2.0-lite-128k | 对话 | ¥0.90 | ¥1.80 | 128000 |
|
||||
| doubao-seed-1.8-128k | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| doubao-seed-code | 代码 | ¥1.20 | ¥2.40 | 32000 |
|
||||
| doubao-seed-1.6-vision-128k | 视觉 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| doubao-seed-1.6-lite-256k | 对话 | ¥1.20 | ¥2.40 | 256000 |
|
||||
| doubao-seed-1.6-128k | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| doubao-seed-character-128k | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| doubao-seed-code-128k | 代码 | ¥1.40 | ¥2.80 | 128000 |
|
||||
| doubao-seed-2.0-lite-256k | 对话 | ¥1.80 | ¥3.60 | 256000 |
|
||||
| deepseek-v3 | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| deepseek-v3.2 | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| glm-4.7 | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| doubao-seed-1.6-vision-256k | 视觉 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| doubao-seed-1.8-256k | 对话 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| doubao-seed-1.6-256k | 对话 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| doubao-seed-code-256k | 代码 | ¥2.80 | ¥5.60 | 256000 |
|
||||
| doubao-1.5-vision-pro | 视觉 | ¥3.00 | ¥6.00 | 32000 |
|
||||
| doubao-seed-2.0-code | 代码 | ¥3.20 | ¥6.40 | 32000 |
|
||||
| doubao-seed-2.0-pro | 对话 | ¥3.20 | ¥6.40 | 32000 |
|
||||
| deepseek-v3.1 | 对话 | ¥4.00 | ¥8.00 | 32000 |
|
||||
| glm-4.7-128k | 对话 | ¥4.00 | ¥8.00 | 128000 |
|
||||
| deepseek-v3.2-128k | 对话 | ¥4.00 | ¥8.00 | 128000 |
|
||||
| deepseek-r1 | 推理 | ¥4.00 | ¥8.00 | 32000 |
|
||||
| doubao-seed-2.0-code-128k | 代码 | ¥4.80 | ¥9.60 | 128000 |
|
||||
| doubao-seed-2.0-pro-128k | 对话 | ¥4.80 | ¥9.60 | 128000 |
|
||||
| doubao-seed-2.0-code-256k | 代码 | ¥9.60 | ¥19.20 | 256000 |
|
||||
| doubao-seed-2.0-pro-256k | 对话 | ¥9.60 | ¥19.20 | 256000 |
|
||||
|
||||
**Zhipu** (26个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| GLM-4.6V-FlashX | 视觉 | ¥0.15 | ¥1.50 | 8000 |
|
||||
| GLM-Realtime-Flash | 对话 | ¥0.18 | ¥0.18 | 8000 |
|
||||
| GLM-Realtime-Air | 对话 | ¥0.30 | ¥0.30 | 8000 |
|
||||
| GLM-4.7-FlashX | 对话 | ¥0.50 | ¥3.00 | 200000 |
|
||||
| GLM-4-Air | 对话 | ¥0.50 | ¥0.25 | 128000 |
|
||||
| GLM-4.5-Air | 对话 | ¥0.80 | ¥2.00 | 32000 |
|
||||
| GLM-4-Long | 对话 | ¥1.00 | ¥0.50 | 1000000 |
|
||||
| GLM-4.5-Air (32K+) | 对话 | ¥1.20 | ¥8.00 | 128000 |
|
||||
| GLM-4.7 | 对话 | ¥2.00 | ¥8.00 | 32000 |
|
||||
| GLM-4.5V | 视觉 | ¥2.00 | ¥6.00 | 32000 |
|
||||
| GLM-4.6V | 视觉 | ¥2.00 | ¥6.00 | 8000 |
|
||||
| GLM-TTS | 对话 | ¥2.00 | 免费 | 8000 |
|
||||
| GLM-5 | 对话 | ¥4.00 | ¥18.00 | 32000 |
|
||||
| GLM-4.7 (32K+) | 对话 | ¥4.00 | ¥16.00 | 200000 |
|
||||
| GLM-4V-Plus | 视觉 | ¥4.00 | ¥4.00 | 8000 |
|
||||
| GLM-5-Turbo | 对话 | ¥5.00 | ¥22.00 | 32000 |
|
||||
| GLM-TTS-Clone | 对话 | ¥6.00 | 免费 | 8000 |
|
||||
| GLM-5 (32K+) | 对话 | ¥6.00 | ¥22.00 | 200000 |
|
||||
| GLM-5.1 | 对话 | ¥6.00 | ¥24.00 | 32000 |
|
||||
| GLM-5-Turbo (32K+) | 对话 | ¥7.00 | ¥26.00 | 200000 |
|
||||
| GLM-5.1 (32K+) | 对话 | ¥8.00 | ¥28.00 | 200000 |
|
||||
| GLM-4-AirX | 对话 | ¥10.00 | ¥10.00 | 8000 |
|
||||
| GLM-ASR-2512 | 对话 | ¥16.00 | 免费 | 8000 |
|
||||
| GLM-4V | 视觉 | ¥50.00 | ¥50.00 | 2000 |
|
||||
| GLM-4-Voice | 对话 | ¥80.00 | ¥80.00 | 8000 |
|
||||
| GLM-4-0520 | 对话 | ¥100.00 | ¥50.00 | 128000 |
|
||||
|
||||
**Moonshot** (3个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| Moonshot V1 8K | 对话 | ¥2.00 | ¥10.00 | 8192 |
|
||||
| Kimi K2 0905 Preview | 对话 | ¥4.00 | ¥16.00 | 262144 |
|
||||
| Kimi K2.6 | 视觉 | ¥6.50 | ¥27.00 | 262144 |
|
||||
|
||||
**Baidu Qianfan** (2个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| ERNIE 5.1 | 对话 | ¥22.00 | ¥22.00 | 0 |
|
||||
| ERNIE 5.0 | 对话 | ¥40.00 | ¥40.00 | 0 |
|
||||
|
||||
### 💻 代码模型(19个)
|
||||
|
||||
| 模型 | 厂商 | 输入(原价) | 输出(原价) |
|
||||
|------|------|-----------|-----------|
|
||||
| Pareto Code Router | OpenRouter | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder Flash | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder Plus | Qwen | 免费 | 免费 |
|
||||
| OpenAI: GPT-5 Codex | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.1-Codex-Max | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.1-Codex | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.2-Codex | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.3-Codex | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.1-Codex-Mini | OpenAI | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder Next | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder 480B A35B | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder 480B A35B... | Qwen | 免费 | 免费 |
|
||||
| Kwaipilot: KAT-Coder-Pro V2 | kwaipilot | 免费 | 免费 |
|
||||
| xAI: Grok Code Fast 1 | xAI | 免费 | 免费 |
|
||||
| Mistral: Codestral 2508 | mistralai | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder 30B A3B I... | Qwen | 免费 | 免费 |
|
||||
| Qwen2.5 Coder 32B Instruct | Qwen | 免费 | 免费 |
|
||||
| Arcee AI: Coder Large | arcee-ai | 免费 | 免费 |
|
||||
| AlfredPros: CodeLLaMa 7B In... | alfredpros | 免费 | 免费 |
|
||||
|
||||
### 🧠 推理模型(34个)
|
||||
|
||||
| 模型 | 厂商 | 输入(原价) | 输出(原价) |
|
||||
|------|------|-----------|-----------|
|
||||
| Qwen: Qwen Plus 0728 (think... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Max Thinking | Qwen | 免费 | 免费 |
|
||||
| MoonshotAI: Kimi K2 Thinking | Moonshot AI | 免费 | 免费 |
|
||||
| Arcee AI: Trinity Large Thi... | arcee-ai | 免费 | 免费 |
|
||||
| OpenAI: o3 Mini High | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o3 Deep Research | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o4 Mini Deep Research | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o1 | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o3 Mini | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o4 Mini High | OpenAI | 免费 | 免费 |
|
||||
| Anthropic: Claude 3.7 Sonne... | Anthropic | 免费 | 免费 |
|
||||
| OpenAI: o3 Pro | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o1-pro | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o4 Mini | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o3 | OpenAI | 免费 | 免费 |
|
||||
| DeepSeek: R1 0528 | DeepSeek | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 235B A22B Th... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 8B Thinking | Qwen | 免费 | 免费 |
|
||||
| Sao10K: Llama 3.1 Euryale 7... | sao10k | 免费 | 免费 |
|
||||
| Qwen: Qwen3 30B A3B Thinkin... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 235B A22B Think... | Qwen | 免费 | 免费 |
|
||||
| Baidu: ERNIE 4.5 21B A3B Th... | Baidu | 免费 | 免费 |
|
||||
| Sao10K: Llama 3.3 Euryale 70B | sao10k | 免费 | 免费 |
|
||||
| DeepSeek: R1 Distill Llama 70B | DeepSeek | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 30B A3B Thin... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Next 80B A3B Th... | Qwen | 免费 | 免费 |
|
||||
| Arcee AI: Maestro Reasoning | arcee-ai | 免费 | 免费 |
|
||||
| Perplexity: Sonar Reasoning... | Perplexity | 免费 | 免费 |
|
||||
| DeepSeek: R1 | DeepSeek | 免费 | 免费 |
|
||||
| LiquidAI: LFM2.5-1.2B-Think... | liquid | 免费 | 免费 |
|
||||
| DeepSeek: R1 Distill Qwen 32B | DeepSeek | 免费 | 免费 |
|
||||
| Sao10K: Llama 3.1 70B Hanam... | sao10k | 免费 | 免费 |
|
||||
| Sao10K: Llama 3 8B Lunaris | sao10k | 免费 | 免费 |
|
||||
| Sao10k: Llama 3 Euryale 70B... | sao10k | 免费 | 免费 |
|
||||
|
||||
### 👁️ 视觉/多模态模型(15个)
|
||||
|
||||
| 模型 | 厂商 | 输入(原价) | 输出(原价) |
|
||||
|------|------|-----------|-----------|
|
||||
| Qwen: Qwen3 VL 235B A22B In... | Qwen | 免费 | 免费 |
|
||||
| MoonshotAI: Kimi K2.6 | Moonshot AI | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 235B A22B Th... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 8B Thinking | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 8B Instruct | Qwen | 免费 | 免费 |
|
||||
| Meta: Llama 3.2 11B Vision ... | meta-llama | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 30B A3B Thin... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen VL Max | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen VL Plus | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 30B A3B Inst... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 32B Instruct | Qwen | 免费 | 免费 |
|
||||
| NVIDIA: Nemotron Nano 12B 2... | NVIDIA | 免费 | 免费 |
|
||||
| Baidu: ERNIE 4.5 VL 424B A47B | Baidu | 免费 | 免费 |
|
||||
| Qwen: Qwen2.5 VL 72B Instruct | Qwen | 免费 | 免费 |
|
||||
| Baidu: ERNIE 4.5 VL 28B A3B | Baidu | 免费 | 免费 |
|
||||
|
||||
## 🇨🇳 国内官方平台(5 家)
|
||||
|
||||
- **Moonshot**: 3 个模型,最低 ¥2.00/MTok
|
||||
- **DeepSeek**: 2 个模型,最低 ¥0.14/MTok
|
||||
- **Baidu Qianfan**: 44 个模型,最低 ¥0.00/MTok
|
||||
- **Zhipu**: 29 个模型,最低 ¥0.18/MTok
|
||||
- **ByteDance Volcano**: 43 个模型,最低 ¥0.15/MTok
|
||||
|
||||
## ☁️ 国际官方平台(1 家)
|
||||
|
||||
- **OpenAI**: 3 个模型,最低 $0.75/MTok
|
||||
|
||||
## 🔀 中转/聚合平台(1 家)
|
||||
|
||||
- **OpenRouter**: 377 个模型,最低 $0.00/MTok
|
||||
|
||||
---
|
||||
|
||||
📌 **说明**: 本报告由 LLM Intelligence Hub 自动生成。
|
||||
- 国际模型价格按 1 USD = 7.25 CNY 换算显示，括号内为原生货币价格
|
||||
- 国内模型价格为厂商原生 CNY 定价
|
||||
- 数据来源: OpenRouter API + 智谱AI + 百度千帆 + Moonshot + DeepSeek + OpenAI
|
||||
|
||||
_生成时间: 2026-05-11T23:19:30+08:00_
|
||||
351
reports/daily/daily_report_2026-05-12.md
Normal file
351
reports/daily/daily_report_2026-05-12.md
Normal file
@@ -0,0 +1,351 @@
|
||||
# 🤖 LLM Intelligence Hub - 每日情报报告
|
||||
|
||||
**报告日期**: 2026-05-12
|
||||
**生成时间**: 2026-05-12T22:48:17+08:00
|
||||
|
||||
## 📊 数据质量摘要
|
||||
|
||||
| 指标 | 数值 |
|
||||
|------|------|
|
||||
| 模型总数 | 502 |
|
||||
| 数据新鲜 | 459 |
|
||||
| CNY定价 | 126 |
|
||||
| USD定价 | 376 |
|
||||
| 厂商总数 | 81 |
|
||||
|
||||
## 🆓 免费模型(共 373 个)
|
||||
|
||||
**按国家分布**: US 145个, 国际 144个, CN 84个
|
||||
|
||||
**代表性模型(前20个)**:
|
||||
|
||||
| 模型 | 厂商 | 国家 | 上下文 |
|
||||
|------|------|------|--------|
|
||||
| Pareto Code Router | OpenRouter | US | 2000000 |
|
||||
| Auto Router | OpenRouter | US | 2000000 |
|
||||
| xAI: Grok 4.20 | xAI | US | 2000000 |
|
||||
| xAI: Grok 4 Fast | xAI | US | 2000000 |
|
||||
| xAI: Grok 4.1 Fast | xAI | US | 2000000 |
|
||||
| xAI: Grok 4.20 Multi-Agent | xAI | US | 2000000 |
|
||||
| OpenAI: GPT-5.5 | OpenAI | US | 1050000 |
|
||||
| OpenAI: GPT-5.5 Pro | OpenAI | US | 1050000 |
|
||||
| OpenAI GPT Latest | ~openai | 国际 | 1050000 |
|
||||
| OpenAI: GPT-5.4 Pro | OpenAI | US | 1050000 |
|
||||
| OpenAI: GPT-5.4 | OpenAI | US | 1050000 |
|
||||
| Owl Alpha | OpenRouter | US | 1048756 |
|
||||
| DeepSeek: DeepSeek V4 Pro | DeepSeek | CN | 1048576 |
|
||||
| Google: Gemini 2.5 Flash Lite | Google | US | 1048576 |
|
||||
| Google: Gemini 3.1 Pro Preview | Google | US | 1048576 |
|
||||
| Google: Gemini 2.0 Flash | Google | US | 1048576 |
|
||||
| Google: Gemini 2.0 Flash Lite | Google | US | 1048576 |
|
||||
| Google: Gemini 2.5 Flash Lite Preview 09-2025 | Google | US | 1048576 |
|
||||
| Google Gemini Pro Latest | ~google | 国际 | 1048576 |
|
||||
| Google: Gemini 2.5 Pro Preview 06-05 | Google | US | 1048576 |
|
||||
| ... | ... | ... | ... |
|
||||
|
||||
> 共 373 个免费模型,以上为前20个代表性模型
|
||||
|
||||
## 🌍 国际推荐模型 TOP 5
|
||||
|
||||
| 排名 | 模型 | 厂商 | 场景 | 输入(原价) | 输出(原价) | 上下文 |
|
||||
|------|------|------|------|-----------|-----------|--------|
|
||||
| 1 | Qwen3-VL-8B | Alibaba | 视觉 | ¥0.20 | ¥0.50 | 32000 |
|
||||
| 2 | Qwen3-VL-32B | Alibaba | 视觉 | ¥0.50 | ¥1.00 | 32000 |
|
||||
| 3 | GPT-5.4 Mini | OpenAI | 对话 | $0.75 | $4.50 | 200000 |
|
||||
| 4 | Doubao-Pro | ByteDance | 视觉 | ¥0.80 | ¥2.00 | 32000 |
|
||||
| 5 | DeepSeek-V3 | DeepSeek | 对话 | ¥1.00 | ¥2.00 | 64000 |
|
||||
|
||||
## 🇨🇳 国内模型 TOP 10
|
||||
|
||||
| 排名 | 模型 | 厂商 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|------|------|-----------|-----------|--------|
|
||||
| 1 | DeepSeek V4 Flash | DeepSeek | 对话 | ¥1.02 | ¥2.03 | 1000000 |
|
||||
| 2 | doubao-seed-1.6-flash | ByteDance | 对话 | ¥0.15 | ¥0.30 | 32000 |
|
||||
| 3 | GLM-4.6V-FlashX | Zhipu AI | 视觉 | ¥0.15 | ¥1.50 | 8000 |
|
||||
| 4 | GLM-Realtime-Flash | Zhipu AI | 对话 | ¥0.18 | ¥0.18 | 8000 |
|
||||
| 5 | doubao-seed-2.0-mini | ByteDance | 对话 | ¥0.20 | ¥0.40 | 32000 |
|
||||
| 6 | doubao-seed-1.6-lite | ByteDance | 对话 | ¥0.30 | ¥0.60 | 32000 |
|
||||
| 7 | doubao-seed-1.6-flash-128k | ByteDance | 对话 | ¥0.30 | ¥0.60 | 128000 |
|
||||
| 8 | GLM-Realtime-Air | Zhipu AI | 对话 | ¥0.30 | ¥0.30 | 8000 |
|
||||
| 9 | doubao-1.5-lite-32k | ByteDance | 对话 | ¥0.30 | ¥0.60 | 32000 |
|
||||
| 10 | doubao-seed-2.0-mini-128k | ByteDance | 对话 | ¥0.40 | ¥0.80 | 128000 |
|
||||
| 11 | DeepSeek V4 Pro | DeepSeek | 对话 | ¥3.15 | ¥6.31 | 1000000 |
|
||||
| 12 | GLM-4.7-FlashX | Zhipu AI | 对话 | ¥0.50 | ¥3.00 | 200000 |
|
||||
| 13 | GLM-4-Air | Zhipu AI | 对话 | ¥0.50 | ¥0.25 | 128000 |
|
||||
| 14 | doubao-seed-1.6-lite-128k | ByteDance | 对话 | ¥0.60 | ¥1.20 | 128000 |
|
||||
| 15 | doubao-seed-1.6-flash-256k | ByteDance | 对话 | ¥0.60 | ¥1.20 | 256000 |
|
||||
| 16 | doubao-seed-2.0-lite | ByteDance | 对话 | ¥0.60 | ¥1.20 | 32000 |
|
||||
| 17 | doubao-seed-character | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 18 | doubao-seed-1.8 | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 19 | doubao-seed-1.6 | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 20 | GLM-4.5-Air | Zhipu AI | 对话 | ¥0.80 | ¥2.00 | 32000 |
|
||||
| 21 | doubao-pro-32k | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 22 | doubao-seed-1.6-vision | ByteDance | 视觉 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 23 | doubao-1.5-pro-32k | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 24 | doubao-seed-2.0-mini-256k | ByteDance | 对话 | ¥0.80 | ¥1.60 | 256000 |
|
||||
| 25 | doubao-seed-2.0-lite-128k | ByteDance | 对话 | ¥0.90 | ¥1.80 | 128000 |
|
||||
| 26 | GLM-4-Long | Zhipu AI | 对话 | ¥1.00 | ¥0.50 | 1000000 |
|
||||
| 27 | doubao-seed-1.8-128k | ByteDance | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| 28 | GLM-4.5-Air (32K+) | Zhipu AI | 对话 | ¥1.20 | ¥8.00 | 128000 |
|
||||
| 29 | doubao-seed-code | ByteDance | 代码 | ¥1.20 | ¥2.40 | 32000 |
|
||||
| 30 | doubao-seed-1.6-vision-128k | ByteDance | 视觉 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| 31 | doubao-seed-1.6-lite-256k | ByteDance | 对话 | ¥1.20 | ¥2.40 | 256000 |
|
||||
| 32 | doubao-seed-1.6-128k | ByteDance | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| 33 | doubao-seed-character-128k | ByteDance | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| 34 | doubao-seed-code-128k | ByteDance | 代码 | ¥1.40 | ¥2.80 | 128000 |
|
||||
| 35 | doubao-seed-2.0-lite-256k | ByteDance | 对话 | ¥1.80 | ¥3.60 | 256000 |
|
||||
| 36 | deepseek-v3 | ByteDance | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| 37 | GLM-4.7 | Zhipu AI | 对话 | ¥2.00 | ¥8.00 | 32000 |
|
||||
| 38 | GLM-4.5V | Zhipu AI | 视觉 | ¥2.00 | ¥6.00 | 32000 |
|
||||
| 39 | GLM-4.6V | Zhipu AI | 视觉 | ¥2.00 | ¥6.00 | 8000 |
|
||||
| 40 | Moonshot V1 8K | Moonshot AI | 对话 | ¥2.00 | ¥10.00 | 8192 |
|
||||
| 41 | deepseek-v3.2 | ByteDance | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| 42 | GLM-TTS | Zhipu AI | 对话 | ¥2.00 | 免费 | 8000 |
|
||||
| 43 | glm-4.7 | ByteDance | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| 44 | doubao-seed-1.6-vision-256k | ByteDance | 视觉 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| 45 | doubao-seed-1.8-256k | ByteDance | 对话 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| 46 | doubao-seed-1.6-256k | ByteDance | 对话 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| 47 | doubao-seed-code-256k | ByteDance | 代码 | ¥2.80 | ¥5.60 | 256000 |
|
||||
| 48 | doubao-1.5-vision-pro | ByteDance | 视觉 | ¥3.00 | ¥6.00 | 32000 |
|
||||
| 49 | doubao-seed-2.0-code | ByteDance | 代码 | ¥3.20 | ¥6.40 | 32000 |
|
||||
| 50 | doubao-seed-2.0-pro | ByteDance | 对话 | ¥3.20 | ¥6.40 | 32000 |
|
||||
| 51 | deepseek-v3.1 | ByteDance | 对话 | ¥4.00 | ¥8.00 | 32000 |
|
||||
| 52 | Kimi K2 0905 Preview | Moonshot AI | 对话 | ¥4.00 | ¥16.00 | 262144 |
|
||||
| 53 | glm-4.7-128k | ByteDance | 对话 | ¥4.00 | ¥8.00 | 128000 |
|
||||
| 54 | GLM-5 | Zhipu AI | 对话 | ¥4.00 | ¥18.00 | 32000 |
|
||||
| 55 | deepseek-v3.2-128k | ByteDance | 对话 | ¥4.00 | ¥8.00 | 128000 |
|
||||
| 56 | GLM-4.7 (32K+) | Zhipu AI | 对话 | ¥4.00 | ¥16.00 | 200000 |
|
||||
| 57 | deepseek-r1 | ByteDance | 推理 | ¥4.00 | ¥8.00 | 32000 |
|
||||
| 58 | GLM-4V-Plus | Zhipu AI | 视觉 | ¥4.00 | ¥4.00 | 8000 |
|
||||
| 59 | doubao-seed-2.0-code-128k | ByteDance | 代码 | ¥4.80 | ¥9.60 | 128000 |
|
||||
| 60 | doubao-seed-2.0-pro-128k | ByteDance | 对话 | ¥4.80 | ¥9.60 | 128000 |
|
||||
| 61 | GLM-5-Turbo | Zhipu AI | 对话 | ¥5.00 | ¥22.00 | 32000 |
|
||||
| 62 | GLM-TTS-Clone | Zhipu AI | 对话 | ¥6.00 | 免费 | 8000 |
|
||||
| 63 | GLM-5 (32K+) | Zhipu AI | 对话 | ¥6.00 | ¥22.00 | 200000 |
|
||||
| 64 | GLM-5.1 | Zhipu AI | 对话 | ¥6.00 | ¥24.00 | 32000 |
|
||||
| 65 | Kimi K2.6 | Moonshot AI | 视觉 | ¥6.50 | ¥27.00 | 262144 |
|
||||
| 66 | GLM-5-Turbo (32K+) | Zhipu AI | 对话 | ¥7.00 | ¥26.00 | 200000 |
|
||||
| 67 | GLM-5.1 (32K+) | Zhipu AI | 对话 | ¥8.00 | ¥28.00 | 200000 |
|
||||
| 68 | doubao-seed-2.0-code-256k | ByteDance | 代码 | ¥9.60 | ¥19.20 | 256000 |
|
||||
| 69 | doubao-seed-2.0-pro-256k | ByteDance | 对话 | ¥9.60 | ¥19.20 | 256000 |
|
||||
| 70 | GLM-4-AirX | Zhipu AI | 对话 | ¥10.00 | ¥10.00 | 8000 |
|
||||
| 71 | GLM-ASR-2512 | Zhipu AI | 对话 | ¥16.00 | 免费 | 8000 |
|
||||
| 72 | ERNIE 5.1 | Baidu | 对话 | ¥22.00 | ¥22.00 | 0 |
|
||||
| 73 | ERNIE 5.0 | Baidu | 对话 | ¥40.00 | ¥40.00 | 0 |
|
||||
| 74 | GLM-4V | Zhipu AI | 视觉 | ¥50.00 | ¥50.00 | 2000 |
|
||||
| 75 | GLM-4-Voice | Zhipu AI | 对话 | ¥80.00 | ¥80.00 | 8000 |
|
||||
| 76 | GLM-4-0520 | Zhipu AI | 对话 | ¥100.00 | ¥50.00 | 128000 |
|
||||
|
||||
## 📊 模型分类概览
|
||||
|
||||
### 🇨🇳 国内官方平台模型
|
||||
|
||||
**ByteDance Volcano** (43个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| doubao-seed-1.6-flash | 对话 | ¥0.15 | ¥0.30 | 32000 |
|
||||
| doubao-seed-2.0-mini | 对话 | ¥0.20 | ¥0.40 | 32000 |
|
||||
| doubao-seed-1.6-lite | 对话 | ¥0.30 | ¥0.60 | 32000 |
|
||||
| doubao-seed-1.6-flash-128k | 对话 | ¥0.30 | ¥0.60 | 128000 |
|
||||
| doubao-1.5-lite-32k | 对话 | ¥0.30 | ¥0.60 | 32000 |
|
||||
| doubao-seed-2.0-mini-128k | 对话 | ¥0.40 | ¥0.80 | 128000 |
|
||||
| doubao-seed-1.6-lite-128k | 对话 | ¥0.60 | ¥1.20 | 128000 |
|
||||
| doubao-seed-1.6-flash-256k | 对话 | ¥0.60 | ¥1.20 | 256000 |
|
||||
| doubao-seed-2.0-lite | 对话 | ¥0.60 | ¥1.20 | 32000 |
|
||||
| doubao-seed-character | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-seed-1.8 | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-seed-1.6 | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-pro-32k | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-seed-1.6-vision | 视觉 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-1.5-pro-32k | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-seed-2.0-mini-256k | 对话 | ¥0.80 | ¥1.60 | 256000 |
|
||||
| doubao-seed-2.0-lite-128k | 对话 | ¥0.90 | ¥1.80 | 128000 |
|
||||
| doubao-seed-1.8-128k | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| doubao-seed-code | 代码 | ¥1.20 | ¥2.40 | 32000 |
|
||||
| doubao-seed-1.6-vision-128k | 视觉 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| doubao-seed-1.6-lite-256k | 对话 | ¥1.20 | ¥2.40 | 256000 |
|
||||
| doubao-seed-1.6-128k | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| doubao-seed-character-128k | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| doubao-seed-code-128k | 代码 | ¥1.40 | ¥2.80 | 128000 |
|
||||
| doubao-seed-2.0-lite-256k | 对话 | ¥1.80 | ¥3.60 | 256000 |
|
||||
| deepseek-v3 | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| deepseek-v3.2 | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| glm-4.7 | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| doubao-seed-1.6-vision-256k | 视觉 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| doubao-seed-1.8-256k | 对话 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| doubao-seed-1.6-256k | 对话 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| doubao-seed-code-256k | 代码 | ¥2.80 | ¥5.60 | 256000 |
|
||||
| doubao-1.5-vision-pro | 视觉 | ¥3.00 | ¥6.00 | 32000 |
|
||||
| doubao-seed-2.0-code | 代码 | ¥3.20 | ¥6.40 | 32000 |
|
||||
| doubao-seed-2.0-pro | 对话 | ¥3.20 | ¥6.40 | 32000 |
|
||||
| deepseek-v3.1 | 对话 | ¥4.00 | ¥8.00 | 32000 |
|
||||
| glm-4.7-128k | 对话 | ¥4.00 | ¥8.00 | 128000 |
|
||||
| deepseek-v3.2-128k | 对话 | ¥4.00 | ¥8.00 | 128000 |
|
||||
| deepseek-r1 | 推理 | ¥4.00 | ¥8.00 | 32000 |
|
||||
| doubao-seed-2.0-code-128k | 代码 | ¥4.80 | ¥9.60 | 128000 |
|
||||
| doubao-seed-2.0-pro-128k | 对话 | ¥4.80 | ¥9.60 | 128000 |
|
||||
| doubao-seed-2.0-code-256k | 代码 | ¥9.60 | ¥19.20 | 256000 |
|
||||
| doubao-seed-2.0-pro-256k | 对话 | ¥9.60 | ¥19.20 | 256000 |
|
||||
|
||||
**Zhipu** (26个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| GLM-4.6V-FlashX | 视觉 | ¥0.15 | ¥1.50 | 8000 |
|
||||
| GLM-Realtime-Flash | 对话 | ¥0.18 | ¥0.18 | 8000 |
|
||||
| GLM-Realtime-Air | 对话 | ¥0.30 | ¥0.30 | 8000 |
|
||||
| GLM-4.7-FlashX | 对话 | ¥0.50 | ¥3.00 | 200000 |
|
||||
| GLM-4-Air | 对话 | ¥0.50 | ¥0.25 | 128000 |
|
||||
| GLM-4.5-Air | 对话 | ¥0.80 | ¥2.00 | 32000 |
|
||||
| GLM-4-Long | 对话 | ¥1.00 | ¥0.50 | 1000000 |
|
||||
| GLM-4.5-Air (32K+) | 对话 | ¥1.20 | ¥8.00 | 128000 |
|
||||
| GLM-4.7 | 对话 | ¥2.00 | ¥8.00 | 32000 |
|
||||
| GLM-4.5V | 视觉 | ¥2.00 | ¥6.00 | 32000 |
|
||||
| GLM-4.6V | 视觉 | ¥2.00 | ¥6.00 | 8000 |
|
||||
| GLM-TTS | 对话 | ¥2.00 | 免费 | 8000 |
|
||||
| GLM-5 | 对话 | ¥4.00 | ¥18.00 | 32000 |
|
||||
| GLM-4.7 (32K+) | 对话 | ¥4.00 | ¥16.00 | 200000 |
|
||||
| GLM-4V-Plus | 视觉 | ¥4.00 | ¥4.00 | 8000 |
|
||||
| GLM-5-Turbo | 对话 | ¥5.00 | ¥22.00 | 32000 |
|
||||
| GLM-TTS-Clone | 对话 | ¥6.00 | 免费 | 8000 |
|
||||
| GLM-5 (32K+) | 对话 | ¥6.00 | ¥22.00 | 200000 |
|
||||
| GLM-5.1 | 对话 | ¥6.00 | ¥24.00 | 32000 |
|
||||
| GLM-5-Turbo (32K+) | 对话 | ¥7.00 | ¥26.00 | 200000 |
|
||||
| GLM-5.1 (32K+) | 对话 | ¥8.00 | ¥28.00 | 200000 |
|
||||
| GLM-4-AirX | 对话 | ¥10.00 | ¥10.00 | 8000 |
|
||||
| GLM-ASR-2512 | 对话 | ¥16.00 | 免费 | 8000 |
|
||||
| GLM-4V | 视觉 | ¥50.00 | ¥50.00 | 2000 |
|
||||
| GLM-4-Voice | 对话 | ¥80.00 | ¥80.00 | 8000 |
|
||||
| GLM-4-0520 | 对话 | ¥100.00 | ¥50.00 | 128000 |
|
||||
|
||||
**Moonshot** (3个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| Moonshot V1 8K | 对话 | ¥2.00 | ¥10.00 | 8192 |
|
||||
| Kimi K2 0905 Preview | 对话 | ¥4.00 | ¥16.00 | 262144 |
|
||||
| Kimi K2.6 | 视觉 | ¥6.50 | ¥27.00 | 262144 |
|
||||
|
||||
**Baidu Qianfan** (2个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| ERNIE 5.1 | 对话 | ¥22.00 | ¥22.00 | 0 |
|
||||
| ERNIE 5.0 | 对话 | ¥40.00 | ¥40.00 | 0 |
|
||||
|
||||
**DeepSeek** (2个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| DeepSeek V4 Flash | 对话 | ¥1.02 | ¥2.03 | 1000000 |
|
||||
| DeepSeek V4 Pro | 对话 | ¥3.15 | ¥6.31 | 1000000 |
|
||||
|
||||
### 💻 代码模型(19个)
|
||||
|
||||
| 模型 | 厂商 | 输入(原价) | 输出(原价) |
|
||||
|------|------|-----------|-----------|
|
||||
| Pareto Code Router | OpenRouter | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder Flash | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder Plus | Qwen | 免费 | 免费 |
|
||||
| OpenAI: GPT-5 Codex | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.1-Codex-Max | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.1-Codex | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.1-Codex-Mini | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.2-Codex | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.3-Codex | OpenAI | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder Next | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder 480B A35B | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder 480B A35B... | Qwen | 免费 | 免费 |
|
||||
| Mistral: Codestral 2508 | mistralai | 免费 | 免费 |
|
||||
| Kwaipilot: KAT-Coder-Pro V2 | kwaipilot | 免费 | 免费 |
|
||||
| xAI: Grok Code Fast 1 | xAI | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder 30B A3B I... | Qwen | 免费 | 免费 |
|
||||
| Qwen2.5 Coder 32B Instruct | Qwen | 免费 | 免费 |
|
||||
| Arcee AI: Coder Large | arcee-ai | 免费 | 免费 |
|
||||
| AlfredPros: CodeLLaMa 7B In... | alfredpros | 免费 | 免费 |
|
||||
|
||||
### 🧠 推理模型(35个)
|
||||
|
||||
| 模型 | 厂商 | 输入(原价) | 输出(原价) |
|
||||
|------|------|-----------|-----------|
|
||||
| Qwen: Qwen Plus 0728 (think... | Qwen | 免费 | 免费 |
|
||||
| Arcee AI: Trinity Large Thi... | arcee-ai | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Max Thinking | Qwen | 免费 | 免费 |
|
||||
| MoonshotAI: Kimi K2 Thinking | Moonshot AI | 免费 | 免费 |
|
||||
| Arcee AI: Trinity Large Thi... | arcee-ai | 免费 | 免费 |
|
||||
| OpenAI: o3 Deep Research | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o4 Mini Deep Research | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o1 | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o3 Mini | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o3 Mini High | OpenAI | 免费 | 免费 |
|
||||
| Anthropic: Claude 3.7 Sonne... | Anthropic | 免费 | 免费 |
|
||||
| OpenAI: o3 Pro | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o1-pro | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o4 Mini High | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o4 Mini | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o3 | OpenAI | 免费 | 免费 |
|
||||
| DeepSeek: R1 0528 | DeepSeek | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 8B Thinking | Qwen | 免费 | 免费 |
|
||||
| Sao10K: Llama 3.1 Euryale 7... | sao10k | 免费 | 免费 |
|
||||
| Qwen: Qwen3 30B A3B Thinkin... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 235B A22B Think... | Qwen | 免费 | 免费 |
|
||||
| Baidu: ERNIE 4.5 21B A3B Th... | Baidu | 免费 | 免费 |
|
||||
| Sao10K: Llama 3.3 Euryale 70B | sao10k | 免费 | 免费 |
|
||||
| DeepSeek: R1 Distill Llama 70B | DeepSeek | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 30B A3B Thin... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Next 80B A3B Th... | Qwen | 免费 | 免费 |
|
||||
| Arcee AI: Maestro Reasoning | arcee-ai | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 235B A22B Th... | Qwen | 免费 | 免费 |
|
||||
| Perplexity: Sonar Reasoning... | Perplexity | 免费 | 免费 |
|
||||
| DeepSeek: R1 | DeepSeek | 免费 | 免费 |
|
||||
| LiquidAI: LFM2.5-1.2B-Think... | liquid | 免费 | 免费 |
|
||||
| DeepSeek: R1 Distill Qwen 32B | DeepSeek | 免费 | 免费 |
|
||||
| Sao10K: Llama 3.1 70B Hanam... | sao10k | 免费 | 免费 |
|
||||
| Sao10K: Llama 3 8B Lunaris | sao10k | 免费 | 免费 |
|
||||
| Sao10k: Llama 3 Euryale 70B... | sao10k | 免费 | 免费 |
|
||||
|
||||
### 👁️ 视觉/多模态模型(15个)
|
||||
|
||||
| 模型 | 厂商 | 输入(原价) | 输出(原价) |
|
||||
|------|------|-----------|-----------|
|
||||
| Qwen: Qwen3 VL 235B A22B In... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 32B Instruct | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 8B Thinking | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 8B Instruct | Qwen | 免费 | 免费 |
|
||||
| Meta: Llama 3.2 11B Vision ... | meta-llama | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 30B A3B Thin... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen VL Max | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen VL Plus | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 30B A3B Inst... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 235B A22B Th... | Qwen | 免费 | 免费 |
|
||||
| NVIDIA: Nemotron Nano 12B 2... | NVIDIA | 免费 | 免费 |
|
||||
| Baidu: ERNIE 4.5 VL 424B A47B | Baidu | 免费 | 免费 |
|
||||
| MoonshotAI: Kimi K2.6 | Moonshot AI | 免费 | 免费 |
|
||||
| Qwen: Qwen2.5 VL 72B Instruct | Qwen | 免费 | 免费 |
|
||||
| Baidu: ERNIE 4.5 VL 28B A3B | Baidu | 免费 | 免费 |
|
||||
|
||||
## 🇨🇳 国内官方平台(5 家)
|
||||
|
||||
- **Moonshot**: 3 个模型,最低 ¥2.00/MTok
|
||||
- **DeepSeek**: 2 个模型,最低 ¥0.14/MTok
|
||||
- **Baidu Qianfan**: 44 个模型,最低 ¥0.00/MTok
|
||||
- **Zhipu**: 29 个模型,最低 ¥0.18/MTok
|
||||
- **ByteDance Volcano**: 43 个模型,最低 ¥0.15/MTok
|
||||
|
||||
## ☁️ 国际官方平台(1 家)
|
||||
|
||||
- **OpenAI**: 3 个模型,最低 $0.75/MTok
|
||||
|
||||
## 🔀 中转/聚合平台(1 家)
|
||||
|
||||
- **OpenRouter**: 378 个模型,最低 $0.00/MTok
|
||||
|
||||
---
|
||||
|
||||
📌 **说明**: 本报告由 LLM Intelligence Hub 自动生成。
|
||||
- 国际模型价格按 1 USD = 7.25 CNY 换算显示，括号内为原生货币价格
|
||||
- 国内模型价格为厂商原生 CNY 定价
|
||||
- 数据来源: OpenRouter API + 智谱AI + 百度千帆 + Moonshot + DeepSeek + OpenAI
|
||||
|
||||
_生成时间: 2026-05-12T22:48:17+08:00_
|
||||
366
reports/daily/daily_report_2026-05-13.md
Normal file
366
reports/daily/daily_report_2026-05-13.md
Normal file
@@ -0,0 +1,366 @@
|
||||
# 🤖 LLM Intelligence Hub - 每日情报报告
|
||||
|
||||
**报告日期**: 2026-05-13
|
||||
**生成时间**: 2026-05-13T09:42:02+08:00
|
||||
|
||||
## 📊 数据质量摘要
|
||||
|
||||
| 指标 | 数值 |
|
||||
|------|------|
|
||||
| 模型总数 | 504 |
|
||||
| 数据新鲜 | 461 |
|
||||
| CNY定价 | 126 |
|
||||
| USD定价 | 378 |
|
||||
| 厂商总数 | 81 |
|
||||
|
||||
## 🆓 免费模型(共 375 个)
|
||||
|
||||
**按国家分布**: US 146个, 国际 145个, CN 84个
|
||||
|
||||
**代表性模型(前20个)**:
|
||||
|
||||
| 模型 | 厂商 | 国家 | 上下文 |
|
||||
|------|------|------|--------|
|
||||
| Pareto Code Router | OpenRouter | US | 2000000 |
|
||||
| xAI: Grok 4.20 Multi-Agent | xAI | US | 2000000 |
|
||||
| Auto Router | OpenRouter | US | 2000000 |
|
||||
| xAI: Grok 4 Fast | xAI | US | 2000000 |
|
||||
| xAI: Grok 4.20 | xAI | US | 2000000 |
|
||||
| xAI: Grok 4.1 Fast | xAI | US | 2000000 |
|
||||
| OpenAI: GPT-5.4 | OpenAI | US | 1050000 |
|
||||
| OpenAI: GPT-5.5 | OpenAI | US | 1050000 |
|
||||
| OpenAI: GPT-5.5 Pro | OpenAI | US | 1050000 |
|
||||
| OpenAI GPT Latest | ~openai | 国际 | 1050000 |
|
||||
| OpenAI: GPT-5.4 Pro | OpenAI | US | 1050000 |
|
||||
| Owl Alpha | OpenRouter | US | 1048756 |
|
||||
| Google Gemini Flash Latest | ~google | 国际 | 1048576 |
|
||||
| Google: Gemini 2.5 Flash Lite | Google | US | 1048576 |
|
||||
| Google: Gemini 2.0 Flash Lite | Google | US | 1048576 |
|
||||
| Meta: Llama 4 Maverick | meta-llama | 国际 | 1048576 |
|
||||
| Google: Lyria 3 Clip Preview | Google | US | 1048576 |
|
||||
| Google: Lyria 3 Pro Preview | Google | US | 1048576 |
|
||||
| Google Gemini Pro Latest | ~google | 国际 | 1048576 |
|
||||
| Google: Gemini 3 Flash Preview | Google | US | 1048576 |
|
||||
| ... | ... | ... | ... |
|
||||
|
||||
> 共 375 个免费模型,以上为前20个代表性模型
|
||||
|
||||
## 🌍 国际推荐模型 TOP 5
|
||||
|
||||
| 排名 | 模型 | 厂商 | 场景 | 输入(原价) | 输出(原价) | 上下文 |
|
||||
|------|------|------|------|-----------|-----------|--------|
|
||||
| 1 | Qwen3-VL-8B | Alibaba | 视觉 | ¥0.20 | ¥0.50 | 32000 |
|
||||
| 2 | Qwen3-VL-32B | Alibaba | 视觉 | ¥0.50 | ¥1.00 | 32000 |
|
||||
| 3 | GPT-5.4 Mini | OpenAI | 对话 | $0.75 | $4.50 | 200000 |
|
||||
| 4 | Doubao-Pro | ByteDance | 视觉 | ¥0.80 | ¥2.00 | 32000 |
|
||||
| 5 | DeepSeek-V3 | DeepSeek | 对话 | ¥1.00 | ¥2.00 | 64000 |
|
||||
|
||||
## 🇨🇳 国内模型 TOP 10
|
||||
|
||||
| 排名 | 模型 | 厂商 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|------|------|-----------|-----------|--------|
|
||||
| 1 | DeepSeek V4 Flash | DeepSeek | 对话 | ¥1.02 | ¥2.03 | 1000000 |
|
||||
| 2 | doubao-seed-1.6-flash | ByteDance | 对话 | ¥0.15 | ¥0.30 | 32000 |
|
||||
| 3 | GLM-4.6V-FlashX | Zhipu AI | 视觉 | ¥0.15 | ¥1.50 | 8000 |
|
||||
| 4 | GLM-Realtime-Flash | Zhipu AI | 对话 | ¥0.18 | ¥0.18 | 8000 |
|
||||
| 5 | doubao-seed-2.0-mini | ByteDance | 对话 | ¥0.20 | ¥0.40 | 32000 |
|
||||
| 6 | doubao-seed-1.6-lite | ByteDance | 对话 | ¥0.30 | ¥0.60 | 32000 |
|
||||
| 7 | doubao-seed-1.6-flash-128k | ByteDance | 对话 | ¥0.30 | ¥0.60 | 128000 |
|
||||
| 8 | GLM-Realtime-Air | Zhipu AI | 对话 | ¥0.30 | ¥0.30 | 8000 |
|
||||
| 9 | doubao-1.5-lite-32k | ByteDance | 对话 | ¥0.30 | ¥0.60 | 32000 |
|
||||
| 10 | doubao-seed-2.0-mini-128k | ByteDance | 对话 | ¥0.40 | ¥0.80 | 128000 |
|
||||
| 11 | DeepSeek V4 Pro | DeepSeek | 对话 | ¥3.15 | ¥6.31 | 1000000 |
|
||||
| 12 | GLM-4.7-FlashX | Zhipu AI | 对话 | ¥0.50 | ¥3.00 | 200000 |
|
||||
| 13 | GLM-4-Air | Zhipu AI | 对话 | ¥0.50 | ¥0.25 | 128000 |
|
||||
| 14 | doubao-seed-1.6-lite-128k | ByteDance | 对话 | ¥0.60 | ¥1.20 | 128000 |
|
||||
| 15 | doubao-seed-1.6-flash-256k | ByteDance | 对话 | ¥0.60 | ¥1.20 | 256000 |
|
||||
| 16 | doubao-seed-2.0-lite | ByteDance | 对话 | ¥0.60 | ¥1.20 | 32000 |
|
||||
| 17 | doubao-seed-character | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 18 | doubao-seed-1.8 | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 19 | doubao-seed-1.6 | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 20 | GLM-4.5-Air | Zhipu AI | 对话 | ¥0.80 | ¥2.00 | 32000 |
|
||||
| 21 | doubao-pro-32k | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 22 | doubao-seed-1.6-vision | ByteDance | 视觉 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 23 | doubao-1.5-pro-32k | ByteDance | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| 24 | doubao-seed-2.0-mini-256k | ByteDance | 对话 | ¥0.80 | ¥1.60 | 256000 |
|
||||
| 25 | doubao-seed-2.0-lite-128k | ByteDance | 对话 | ¥0.90 | ¥1.80 | 128000 |
|
||||
| 26 | GLM-4-Long | Zhipu AI | 对话 | ¥1.00 | ¥0.50 | 1000000 |
|
||||
| 27 | doubao-seed-1.8-128k | ByteDance | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| 28 | GLM-4.5-Air (32K+) | Zhipu AI | 对话 | ¥1.20 | ¥8.00 | 128000 |
|
||||
| 29 | doubao-seed-code | ByteDance | 代码 | ¥1.20 | ¥2.40 | 32000 |
|
||||
| 30 | doubao-seed-1.6-vision-128k | ByteDance | 视觉 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| 31 | doubao-seed-1.6-lite-256k | ByteDance | 对话 | ¥1.20 | ¥2.40 | 256000 |
|
||||
| 32 | doubao-seed-1.6-128k | ByteDance | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| 33 | doubao-seed-character-128k | ByteDance | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| 34 | doubao-seed-code-128k | ByteDance | 代码 | ¥1.40 | ¥2.80 | 128000 |
|
||||
| 35 | doubao-seed-2.0-lite-256k | ByteDance | 对话 | ¥1.80 | ¥3.60 | 256000 |
|
||||
| 36 | deepseek-v3 | ByteDance | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| 37 | GLM-4.7 | Zhipu AI | 对话 | ¥2.00 | ¥8.00 | 32000 |
|
||||
| 38 | GLM-4.5V | Zhipu AI | 视觉 | ¥2.00 | ¥6.00 | 32000 |
|
||||
| 39 | GLM-4.6V | Zhipu AI | 视觉 | ¥2.00 | ¥6.00 | 8000 |
|
||||
| 40 | Moonshot V1 8K | Moonshot AI | 对话 | ¥2.00 | ¥10.00 | 8192 |
|
||||
| 41 | deepseek-v3.2 | ByteDance | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| 42 | GLM-TTS | Zhipu AI | 对话 | ¥2.00 | 免费 | 8000 |
|
||||
| 43 | glm-4.7 | ByteDance | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| 44 | doubao-seed-1.6-vision-256k | ByteDance | 视觉 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| 45 | doubao-seed-1.8-256k | ByteDance | 对话 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| 46 | doubao-seed-1.6-256k | ByteDance | 对话 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| 47 | doubao-seed-code-256k | ByteDance | 代码 | ¥2.80 | ¥5.60 | 256000 |
|
||||
| 48 | doubao-1.5-vision-pro | ByteDance | 视觉 | ¥3.00 | ¥6.00 | 32000 |
|
||||
| 49 | doubao-seed-2.0-code | ByteDance | 代码 | ¥3.20 | ¥6.40 | 32000 |
|
||||
| 50 | doubao-seed-2.0-pro | ByteDance | 对话 | ¥3.20 | ¥6.40 | 32000 |
|
||||
| 51 | deepseek-v3.1 | ByteDance | 对话 | ¥4.00 | ¥8.00 | 32000 |
|
||||
| 52 | Kimi K2 0905 Preview | Moonshot AI | 对话 | ¥4.00 | ¥16.00 | 262144 |
|
||||
| 53 | glm-4.7-128k | ByteDance | 对话 | ¥4.00 | ¥8.00 | 128000 |
|
||||
| 54 | GLM-5 | Zhipu AI | 对话 | ¥4.00 | ¥18.00 | 32000 |
|
||||
| 55 | deepseek-v3.2-128k | ByteDance | 对话 | ¥4.00 | ¥8.00 | 128000 |
|
||||
| 56 | GLM-4.7 (32K+) | Zhipu AI | 对话 | ¥4.00 | ¥16.00 | 200000 |
|
||||
| 57 | deepseek-r1 | ByteDance | 推理 | ¥4.00 | ¥8.00 | 32000 |
|
||||
| 58 | GLM-4V-Plus | Zhipu AI | 视觉 | ¥4.00 | ¥4.00 | 8000 |
|
||||
| 59 | doubao-seed-2.0-code-128k | ByteDance | 代码 | ¥4.80 | ¥9.60 | 128000 |
|
||||
| 60 | doubao-seed-2.0-pro-128k | ByteDance | 对话 | ¥4.80 | ¥9.60 | 128000 |
|
||||
| 61 | GLM-5-Turbo | Zhipu AI | 对话 | ¥5.00 | ¥22.00 | 32000 |
|
||||
| 62 | GLM-TTS-Clone | Zhipu AI | 对话 | ¥6.00 | 免费 | 8000 |
|
||||
| 63 | GLM-5 (32K+) | Zhipu AI | 对话 | ¥6.00 | ¥22.00 | 200000 |
|
||||
| 64 | GLM-5.1 | Zhipu AI | 对话 | ¥6.00 | ¥24.00 | 32000 |
|
||||
| 65 | Kimi K2.6 | Moonshot AI | 视觉 | ¥6.50 | ¥27.00 | 262144 |
|
||||
| 66 | GLM-5-Turbo (32K+) | Zhipu AI | 对话 | ¥7.00 | ¥26.00 | 200000 |
|
||||
| 67 | GLM-5.1 (32K+) | Zhipu AI | 对话 | ¥8.00 | ¥28.00 | 200000 |
|
||||
| 68 | doubao-seed-2.0-code-256k | ByteDance | 代码 | ¥9.60 | ¥19.20 | 256000 |
|
||||
| 69 | doubao-seed-2.0-pro-256k | ByteDance | 对话 | ¥9.60 | ¥19.20 | 256000 |
|
||||
| 70 | GLM-4-AirX | Zhipu AI | 对话 | ¥10.00 | ¥10.00 | 8000 |
|
||||
| 71 | GLM-ASR-2512 | Zhipu AI | 对话 | ¥16.00 | 免费 | 8000 |
|
||||
| 72 | ERNIE 5.1 | Baidu | 对话 | ¥22.00 | ¥22.00 | 0 |
|
||||
| 73 | ERNIE 5.0 | Baidu | 对话 | ¥40.00 | ¥40.00 | 0 |
|
||||
| 74 | GLM-4V | Zhipu AI | 视觉 | ¥50.00 | ¥50.00 | 2000 |
|
||||
| 75 | GLM-4-Voice | Zhipu AI | 对话 | ¥80.00 | ¥80.00 | 8000 |
|
||||
| 76 | GLM-4-0520 | Zhipu AI | 对话 | ¥100.00 | ¥50.00 | 128000 |
|
||||
|
||||
## 💳 腾讯云套餐订阅价
|
||||
|
||||
> 以下为套餐订阅价，不参与按模型输入/输出单价排行。
|
||||
|
||||
| 套餐 | 月费 | 月额度 | 上下文上限 | 覆盖模型 |
|
||||
|------|------|--------|------------|----------|
|
||||
| Hy Token Plan Lite | ¥28.00/月 | 3500万 Tokens/月 | 256K | 1 个（hy3-preview） |
|
||||
| 通用 Token Plan Lite | ¥39.00/月 | 3500万 Tokens/月 | - | 10 个（tc-code-latest, minimax-m2.5, minimax-m2.7） |
|
||||
| Hy Token Plan Standard | ¥78.00/月 | 1亿 Tokens/月 | 256K | 1 个（hy3-preview） |
|
||||
| 通用 Token Plan Standard | ¥99.00/月 | 1亿 Tokens/月 | - | 10 个（tc-code-latest, minimax-m2.5, minimax-m2.7） |
|
||||
| Hy Token Plan Pro | ¥238.00/月 | 3.2亿 Tokens/月 | 256K | 1 个（hy3-preview） |
|
||||
| 通用 Token Plan Pro | ¥299.00/月 | 3.2亿 Tokens/月 | - | 10 个（tc-code-latest, minimax-m2.5, minimax-m2.7） |
|
||||
| Hy Token Plan Max | ¥468.00/月 | 6.5亿 Tokens/月 | 256K | 1 个（hy3-preview） |
|
||||
| 通用 Token Plan Max | ¥599.00/月 | 6.5亿 Tokens/月 | - | 10 个（tc-code-latest, minimax-m2.5, minimax-m2.7） |
|
||||
|
||||
## 📊 模型分类概览
|
||||
|
||||
### 🇨🇳 国内官方平台模型
|
||||
|
||||
**Zhipu** (26个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| GLM-4.6V-FlashX | 视觉 | ¥0.15 | ¥1.50 | 8000 |
|
||||
| GLM-Realtime-Flash | 对话 | ¥0.18 | ¥0.18 | 8000 |
|
||||
| GLM-Realtime-Air | 对话 | ¥0.30 | ¥0.30 | 8000 |
|
||||
| GLM-4.7-FlashX | 对话 | ¥0.50 | ¥3.00 | 200000 |
|
||||
| GLM-4-Air | 对话 | ¥0.50 | ¥0.25 | 128000 |
|
||||
| GLM-4.5-Air | 对话 | ¥0.80 | ¥2.00 | 32000 |
|
||||
| GLM-4-Long | 对话 | ¥1.00 | ¥0.50 | 1000000 |
|
||||
| GLM-4.5-Air (32K+) | 对话 | ¥1.20 | ¥8.00 | 128000 |
|
||||
| GLM-4.7 | 对话 | ¥2.00 | ¥8.00 | 32000 |
|
||||
| GLM-4.5V | 视觉 | ¥2.00 | ¥6.00 | 32000 |
|
||||
| GLM-4.6V | 视觉 | ¥2.00 | ¥6.00 | 8000 |
|
||||
| GLM-TTS | 对话 | ¥2.00 | 免费 | 8000 |
|
||||
| GLM-5 | 对话 | ¥4.00 | ¥18.00 | 32000 |
|
||||
| GLM-4.7 (32K+) | 对话 | ¥4.00 | ¥16.00 | 200000 |
|
||||
| GLM-4V-Plus | 视觉 | ¥4.00 | ¥4.00 | 8000 |
|
||||
| GLM-5-Turbo | 对话 | ¥5.00 | ¥22.00 | 32000 |
|
||||
| GLM-TTS-Clone | 对话 | ¥6.00 | 免费 | 8000 |
|
||||
| GLM-5 (32K+) | 对话 | ¥6.00 | ¥22.00 | 200000 |
|
||||
| GLM-5.1 | 对话 | ¥6.00 | ¥24.00 | 32000 |
|
||||
| GLM-5-Turbo (32K+) | 对话 | ¥7.00 | ¥26.00 | 200000 |
|
||||
| GLM-5.1 (32K+) | 对话 | ¥8.00 | ¥28.00 | 200000 |
|
||||
| GLM-4-AirX | 对话 | ¥10.00 | ¥10.00 | 8000 |
|
||||
| GLM-ASR-2512 | 对话 | ¥16.00 | 免费 | 8000 |
|
||||
| GLM-4V | 视觉 | ¥50.00 | ¥50.00 | 2000 |
|
||||
| GLM-4-Voice | 对话 | ¥80.00 | ¥80.00 | 8000 |
|
||||
| GLM-4-0520 | 对话 | ¥100.00 | ¥50.00 | 128000 |
|
||||
|
||||
**Moonshot** (3个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| Moonshot V1 8K | 对话 | ¥2.00 | ¥10.00 | 8192 |
|
||||
| Kimi K2 0905 Preview | 对话 | ¥4.00 | ¥16.00 | 262144 |
|
||||
| Kimi K2.6 | 视觉 | ¥6.50 | ¥27.00 | 262144 |
|
||||
|
||||
**Baidu Qianfan** (2个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| ERNIE 5.1 | 对话 | ¥22.00 | ¥22.00 | 0 |
|
||||
| ERNIE 5.0 | 对话 | ¥40.00 | ¥40.00 | 0 |
|
||||
|
||||
**DeepSeek** (2个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| DeepSeek V4 Flash | 对话 | ¥1.02 | ¥2.03 | 1000000 |
|
||||
| DeepSeek V4 Pro | 对话 | ¥3.15 | ¥6.31 | 1000000 |
|
||||
|
||||
**ByteDance Volcano** (43个)
|
||||
|
||||
| 模型 | 场景 | 输入(CNY) | 输出(CNY) | 上下文 |
|
||||
|------|------|-----------|-----------|--------|
|
||||
| doubao-seed-1.6-flash | 对话 | ¥0.15 | ¥0.30 | 32000 |
|
||||
| doubao-seed-2.0-mini | 对话 | ¥0.20 | ¥0.40 | 32000 |
|
||||
| doubao-seed-1.6-lite | 对话 | ¥0.30 | ¥0.60 | 32000 |
|
||||
| doubao-seed-1.6-flash-128k | 对话 | ¥0.30 | ¥0.60 | 128000 |
|
||||
| doubao-1.5-lite-32k | 对话 | ¥0.30 | ¥0.60 | 32000 |
|
||||
| doubao-seed-2.0-mini-128k | 对话 | ¥0.40 | ¥0.80 | 128000 |
|
||||
| doubao-seed-1.6-lite-128k | 对话 | ¥0.60 | ¥1.20 | 128000 |
|
||||
| doubao-seed-1.6-flash-256k | 对话 | ¥0.60 | ¥1.20 | 256000 |
|
||||
| doubao-seed-2.0-lite | 对话 | ¥0.60 | ¥1.20 | 32000 |
|
||||
| doubao-seed-character | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-seed-1.8 | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-seed-1.6 | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-pro-32k | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-seed-1.6-vision | 视觉 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-1.5-pro-32k | 对话 | ¥0.80 | ¥1.60 | 32000 |
|
||||
| doubao-seed-2.0-mini-256k | 对话 | ¥0.80 | ¥1.60 | 256000 |
|
||||
| doubao-seed-2.0-lite-128k | 对话 | ¥0.90 | ¥1.80 | 128000 |
|
||||
| doubao-seed-1.8-128k | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| doubao-seed-code | 代码 | ¥1.20 | ¥2.40 | 32000 |
|
||||
| doubao-seed-1.6-vision-128k | 视觉 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| doubao-seed-1.6-lite-256k | 对话 | ¥1.20 | ¥2.40 | 256000 |
|
||||
| doubao-seed-1.6-128k | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| doubao-seed-character-128k | 对话 | ¥1.20 | ¥2.40 | 128000 |
|
||||
| doubao-seed-code-128k | 代码 | ¥1.40 | ¥2.80 | 128000 |
|
||||
| doubao-seed-2.0-lite-256k | 对话 | ¥1.80 | ¥3.60 | 256000 |
|
||||
| deepseek-v3 | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| deepseek-v3.2 | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| glm-4.7 | 对话 | ¥2.00 | ¥4.00 | 32000 |
|
||||
| doubao-seed-1.6-vision-256k | 视觉 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| doubao-seed-1.8-256k | 对话 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| doubao-seed-1.6-256k | 对话 | ¥2.40 | ¥4.80 | 256000 |
|
||||
| doubao-seed-code-256k | 代码 | ¥2.80 | ¥5.60 | 256000 |
|
||||
| doubao-1.5-vision-pro | 视觉 | ¥3.00 | ¥6.00 | 32000 |
|
||||
| doubao-seed-2.0-code | 代码 | ¥3.20 | ¥6.40 | 32000 |
|
||||
| doubao-seed-2.0-pro | 对话 | ¥3.20 | ¥6.40 | 32000 |
|
||||
| deepseek-v3.1 | 对话 | ¥4.00 | ¥8.00 | 32000 |
|
||||
| glm-4.7-128k | 对话 | ¥4.00 | ¥8.00 | 128000 |
|
||||
| deepseek-v3.2-128k | 对话 | ¥4.00 | ¥8.00 | 128000 |
|
||||
| deepseek-r1 | 推理 | ¥4.00 | ¥8.00 | 32000 |
|
||||
| doubao-seed-2.0-code-128k | 代码 | ¥4.80 | ¥9.60 | 128000 |
|
||||
| doubao-seed-2.0-pro-128k | 对话 | ¥4.80 | ¥9.60 | 128000 |
|
||||
| doubao-seed-2.0-code-256k | 代码 | ¥9.60 | ¥19.20 | 256000 |
|
||||
| doubao-seed-2.0-pro-256k | 对话 | ¥9.60 | ¥19.20 | 256000 |
|
||||
|
||||
### 💻 代码模型(19个)
|
||||
|
||||
| 模型 | 厂商 | 输入(原价) | 输出(原价) |
|
||||
|------|------|-----------|-----------|
|
||||
| Pareto Code Router | OpenRouter | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder Flash | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder Plus | Qwen | 免费 | 免费 |
|
||||
| OpenAI: GPT-5 Codex | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.1-Codex-Mini | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.1-Codex | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.2-Codex | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.1-Codex-Max | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: GPT-5.3-Codex | OpenAI | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder Next | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder 480B A35B | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder 480B A35B... | Qwen | 免费 | 免费 |
|
||||
| Mistral: Codestral 2508 | mistralai | 免费 | 免费 |
|
||||
| Kwaipilot: KAT-Coder-Pro V2 | kwaipilot | 免费 | 免费 |
|
||||
| xAI: Grok Code Fast 1 | xAI | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Coder 30B A3B I... | Qwen | 免费 | 免费 |
|
||||
| Arcee AI: Coder Large | arcee-ai | 免费 | 免费 |
|
||||
| Qwen2.5 Coder 32B Instruct | Qwen | 免费 | 免费 |
|
||||
| AlfredPros: CodeLLaMa 7B In... | alfredpros | 免费 | 免费 |
|
||||
|
||||
### 🧠 推理模型(35个)
|
||||
|
||||
| 模型 | 厂商 | 输入(原价) | 输出(原价) |
|
||||
|------|------|-----------|-----------|
|
||||
| Qwen: Qwen Plus 0728 (think... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Max Thinking | Qwen | 免费 | 免费 |
|
||||
| Arcee AI: Trinity Large Thi... | arcee-ai | 免费 | 免费 |
|
||||
| MoonshotAI: Kimi K2 Thinking | Moonshot AI | 免费 | 免费 |
|
||||
| Arcee AI: Trinity Large Thi... | arcee-ai | 免费 | 免费 |
|
||||
| OpenAI: o1-pro | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o3 Deep Research | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o4 Mini Deep Research | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o4 Mini | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o3 | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o4 Mini High | OpenAI | 免费 | 免费 |
|
||||
| Anthropic: Claude 3.7 Sonne... | Anthropic | 免费 | 免费 |
|
||||
| OpenAI: o1 | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o3 Mini | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o3 Mini High | OpenAI | 免费 | 免费 |
|
||||
| OpenAI: o3 Pro | OpenAI | 免费 | 免费 |
|
||||
| DeepSeek: R1 0528 | DeepSeek | 免费 | 免费 |
|
||||
| Qwen: Qwen3 30B A3B Thinkin... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 235B A22B Think... | Qwen | 免费 | 免费 |
|
||||
| Sao10K: Llama 3.3 Euryale 70B | sao10k | 免费 | 免费 |
|
||||
| DeepSeek: R1 Distill Llama 70B | DeepSeek | 免费 | 免费 |
|
||||
| Sao10K: Llama 3.1 Euryale 7... | sao10k | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 8B Thinking | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 Next 80B A3B Th... | Qwen | 免费 | 免费 |
|
||||
| Arcee AI: Maestro Reasoning | arcee-ai | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 235B A22B Th... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 30B A3B Thin... | Qwen | 免费 | 免费 |
|
||||
| Baidu: ERNIE 4.5 21B A3B Th... | Baidu | 免费 | 免费 |
|
||||
| Perplexity: Sonar Reasoning... | Perplexity | 免费 | 免费 |
|
||||
| DeepSeek: R1 | DeepSeek | 免费 | 免费 |
|
||||
| DeepSeek: R1 Distill Qwen 32B | DeepSeek | 免费 | 免费 |
|
||||
| LiquidAI: LFM2.5-1.2B-Think... | liquid | 免费 | 免费 |
|
||||
| Sao10K: Llama 3.1 70B Hanam... | sao10k | 免费 | 免费 |
|
||||
| Sao10K: Llama 3 8B Lunaris | sao10k | 免费 | 免费 |
|
||||
| Sao10k: Llama 3 Euryale 70B... | sao10k | 免费 | 免费 |
|
||||
|
||||
### 👁️ 视觉/多模态模型(15个)
|
||||
|
||||
| 模型 | 厂商 | 输入(原价) | 输出(原价) |
|
||||
|------|------|-----------|-----------|
|
||||
| Qwen: Qwen3 VL 235B A22B In... | Qwen | 免费 | 免费 |
|
||||
| MoonshotAI: Kimi K2.6 | Moonshot AI | 免费 | 免费 |
|
||||
| Meta: Llama 3.2 11B Vision ... | meta-llama | 免费 | 免费 |
|
||||
| Qwen: Qwen VL Max | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 8B Thinking | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen VL Plus | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 235B A22B Th... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 32B Instruct | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 8B Instruct | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 30B A3B Inst... | Qwen | 免费 | 免费 |
|
||||
| Qwen: Qwen3 VL 30B A3B Thin... | Qwen | 免费 | 免费 |
|
||||
| NVIDIA: Nemotron Nano 12B 2... | NVIDIA | 免费 | 免费 |
|
||||
| Baidu: ERNIE 4.5 VL 424B A47B | Baidu | 免费 | 免费 |
|
||||
| Qwen: Qwen2.5 VL 72B Instruct | Qwen | 免费 | 免费 |
|
||||
| Baidu: ERNIE 4.5 VL 28B A3B | Baidu | 免费 | 免费 |
|
||||
|
||||
## 🇨🇳 国内官方平台(5 家)
|
||||
|
||||
- **Moonshot**: 3 个模型,最低 ¥2.00/MTok
|
||||
- **DeepSeek**: 2 个模型,最低 ¥0.14/MTok
|
||||
- **Baidu Qianfan**: 44 个模型,最低 ¥0.00/MTok
|
||||
- **Zhipu**: 29 个模型,最低 ¥0.18/MTok
|
||||
- **ByteDance Volcano**: 43 个模型,最低 ¥0.15/MTok
|
||||
|
||||
## ☁️ 国际官方平台(1 家)
|
||||
|
||||
- **OpenAI**: 3 个模型,最低 $0.75/MTok
|
||||
|
||||
## 🔀 中转/聚合平台(1 家)
|
||||
|
||||
- **OpenRouter**: 380 个模型,最低 $0.00/MTok
|
||||
|
||||
---
|
||||
|
||||
📌 **说明**: 本报告由 LLM Intelligence Hub 自动生成。
|
||||
- 国际模型价格按 1 USD = 7.25 CNY 换算显示，括号内为原生货币价格
|
||||
- 国内模型价格为厂商原生 CNY 定价
|
||||
- 数据来源: OpenRouter API + 智谱AI + 百度千帆 + Moonshot + DeepSeek + OpenAI
|
||||
|
||||
_生成时间: 2026-05-13T09:42:02+08:00_
|
||||
28
reports/daily/html/daily_report_2026-05-10.html
Normal file
28
reports/daily/html/daily_report_2026-05-10.html
Normal file
@@ -0,0 +1,28 @@
|
||||
<!DOCTYPE html>
|
||||
<html><head><meta charset="UTF-8"><title>LLM Hub - 2026-05-10</title>
|
||||
<style>
|
||||
body{font-family:-apple-system,BlinkMacSystemFont,sans-serif;max-width:1200px;margin:0 auto;padding:20px;background:#f5f5f5}
|
||||
.header{background:linear-gradient(135deg,#667eea,#764ba2);color:white;padding:30px;border-radius:10px;margin-bottom:20px}
|
||||
.card{background:white;border-radius:8px;padding:20px;margin-bottom:20px;box-shadow:0 2px 4px rgba(0,0,0,0.1)}
|
||||
.card h2{margin-top:0;color:#333;border-bottom:2px solid #667eea;padding-bottom:10px}
|
||||
table{width:100%;border-collapse:collapse;margin-top:15px}
|
||||
th,td{padding:12px;text-align:left;border-bottom:1px solid #eee}
|
||||
th{background:#f8f9fa;font-weight:600}
|
||||
.footer{text-align:center;color:#999;margin-top:40px;padding:20px}
|
||||
</style></head><body>
|
||||
<div class="header"><h1>🤖 LLM Intelligence Hub</h1><p>每日情报报告 - 2026-05-10</p></div>
|
||||
|
||||
<div class="card">
|
||||
<h2>📊 数据质量摘要</h2>
|
||||
<table><tr><th>指标</th><th>数值</th></tr>
|
||||
<tr><td>模型总数</td><td>377</td></tr>
|
||||
<tr><td>数据新鲜</td><td>368</td></tr>
|
||||
<tr><td>CNY定价</td><td>0</td></tr>
|
||||
<tr><td>USD定价</td><td>377</td></tr>
|
||||
<tr><td>厂商总数</td><td>60</td></tr>
|
||||
</table></div>
|
||||
|
||||
|
||||
|
||||
<div class="footer"><p>📌 本报告由 LLM Intelligence Hub 自动生成</p></div>
|
||||
</body></html>
|
||||
1241
reports/daily/html/daily_report_2026-05-11.html
Normal file
1241
reports/daily/html/daily_report_2026-05-11.html
Normal file
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1241
reports/daily/html/daily_report_2026-05-12.html
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1241
reports/daily/html/daily_report_2026-05-12.html
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1316
reports/daily/html/daily_report_2026-05-13.html
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1316
reports/daily/html/daily_report_2026-05-13.html
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Reference in New Issue
Block a user