forked from niuniu/llm-intelligence
1316 lines
32 KiB
HTML
1316 lines
32 KiB
HTML
<!DOCTYPE html>
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<html lang="zh-CN">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>LLM Intelligence Hub - 2026-05-13</title>
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<style>
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:root {
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--primary: #6366f1;
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--primary-dark: #4f46e5;
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--success: #10b981;
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--warning: #f59e0b;
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--danger: #ef4444;
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--info: #3b82f6;
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--bg: #f1f5f9;
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--card: #ffffff;
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--text: #1e293b;
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--text-secondary: #64748b;
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--border: #e2e8f0;
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}
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* { margin:0; padding:0; box-sizing:border-box; }
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body {
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font-family: -apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, sans-serif;
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background: var(--bg);
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color: var(--text);
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line-height: 1.6;
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}
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.container { max-width: 1200px; margin: 0 auto; padding: 20px; }
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.header {
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background: linear-gradient(135deg, var(--primary), var(--primary-dark));
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color: white;
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padding: 40px 30px;
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border-radius: 16px;
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margin-bottom: 24px;
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box-shadow: 0 10px 40px rgba(99,102,241,0.3);
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}
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.header h1 { font-size: 2rem; margin-bottom: 8px; }
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.header p { opacity: 0.9; font-size: 1.1rem; }
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.stats-grid {
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display: grid;
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grid-template-columns: repeat(auto-fit, minmax(200px, 1fr));
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gap: 16px;
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margin-bottom: 24px;
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}
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.stat-card {
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background: var(--card);
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border-radius: 12px;
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padding: 20px;
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box-shadow: 0 2px 8px rgba(0,0,0,0.06);
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border-left: 4px solid var(--primary);
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}
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.stat-card.free { border-left-color: var(--success); }
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.stat-card.intl { border-left-color: var(--info); }
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.stat-card.domestic { border-left-color: var(--warning); }
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.stat-label { font-size: 0.875rem; color: var(--text-secondary); margin-bottom: 4px; }
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.stat-value { font-size: 1.75rem; font-weight: 700; color: var(--text); }
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.section {
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background: var(--card);
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border-radius: 12px;
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padding: 24px;
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margin-bottom: 20px;
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box-shadow: 0 2px 8px rgba(0,0,0,0.06);
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}
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.section h2 {
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font-size: 1.25rem;
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margin-bottom: 16px;
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padding-bottom: 12px;
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border-bottom: 2px solid var(--border);
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display: flex;
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align-items: center;
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gap: 8px;
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}
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.model-grid {
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display: grid;
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grid-template-columns: repeat(auto-fill, minmax(280px, 1fr));
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gap: 12px;
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}
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.model-card {
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background: var(--bg);
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border-radius: 10px;
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padding: 16px;
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border: 1px solid var(--border);
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transition: transform 0.2s, box-shadow 0.2s;
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}
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.model-card:hover {
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transform: translateY(-2px);
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box-shadow: 0 4px 12px rgba(0,0,0,0.1);
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}
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.model-card .name { font-weight: 600; font-size: 0.95rem; margin-bottom: 6px; }
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.model-card .provider { font-size: 0.8rem; color: var(--text-secondary); margin-bottom: 8px; }
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.model-card .price-row {
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display: flex;
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justify-content: space-between;
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font-size: 0.85rem;
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}
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.model-card .price-label { color: var(--text-secondary); }
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.model-card .price-value { font-weight: 600; }
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.model-card .price-value.free { color: var(--success); }
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.model-card .badge {
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display: inline-block;
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padding: 2px 8px;
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border-radius: 4px;
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font-size: 0.75rem;
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font-weight: 600;
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}
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.badge.free { background: #d1fae5; color: #065f46; }
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.badge.intl { background: #dbeafe; color: #1e40af; }
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.badge.domestic { background: #fef3c7; color: #92400e; }
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table { width: 100%; border-collapse: collapse; margin-top: 12px; }
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th, td { padding: 12px; text-align: left; border-bottom: 1px solid var(--border); }
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th { background: var(--bg); font-weight: 600; font-size: 0.875rem; }
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tr:hover { background: #f8fafc; }
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.alert {
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background: #fef3c7;
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border-left: 4px solid var(--warning);
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padding: 12px 16px;
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border-radius: 8px;
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margin-bottom: 20px;
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}
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.alert p { color: #92400e; font-size: 0.9rem; }
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.footer {
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text-align: center;
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color: var(--text-secondary);
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padding: 30px;
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font-size: 0.875rem;
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}
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</style>
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</head>
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<body>
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<div class="container">
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<div class="header">
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<h1>🤖 LLM Intelligence Hub</h1>
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<p>每日情报报告 · 2026-05-13 · 504 模型覆盖</p>
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</div>
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<div class="stats-grid">
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<div class="stat-card">
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<div class="stat-label">模型总数</div>
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<div class="stat-value">504</div>
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</div>
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<div class="stat-card free">
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<div class="stat-label">免费模型</div>
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<div class="stat-value">375</div>
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</div>
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<div class="stat-card intl">
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<div class="stat-label">国际模型</div>
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<div class="stat-value">5</div>
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</div>
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<div class="stat-card domestic">
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<div class="stat-label">国内模型</div>
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<div class="stat-value">76</div>
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</div>
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</div>
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<div class="section">
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<h2>🆓 免费模型(375 个)</h2>
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<p style="color: var(--text-secondary); margin-bottom: 12px;">代表性模型(前20个):</p>
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<div class="model-grid">
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<div class="model-card">
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<div class="name">Pareto Code Router</div>
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<div class="provider">OpenRouter <span class="badge intl">国际</span></div>
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<div class="price-row">
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<span class="price-label">输入</span>
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<span class="price-value free">免费</span>
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</div>
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<div class="price-row">
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<span class="price-label">上下文</span>
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<span class="price-value">2000000 tokens</span>
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</div>
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</div>
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<div class="model-card">
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<div class="name">xAI: Grok 4.20 Multi-Agent</div>
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<div class="provider">xAI <span class="badge intl">国际</span></div>
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<div class="price-row">
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<span class="price-label">输入</span>
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||
<span class="price-value free">免费</span>
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||
</div>
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||
<div class="price-row">
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||
<span class="price-label">上下文</span>
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||
<span class="price-value">2000000 tokens</span>
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||
</div>
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||
</div>
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||
<div class="model-card">
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||
<div class="name">Auto Router</div>
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||
<div class="provider">OpenRouter <span class="badge intl">国际</span></div>
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||
<div class="price-row">
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<span class="price-label">输入</span>
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||
<span class="price-value free">免费</span>
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||
</div>
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||
<div class="price-row">
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<span class="price-label">上下文</span>
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<span class="price-value">2000000 tokens</span>
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</div>
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</div>
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<div class="model-card">
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<div class="name">xAI: Grok 4 Fast</div>
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<div class="provider">xAI <span class="badge intl">国际</span></div>
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<div class="price-row">
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<span class="price-label">输入</span>
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||
<span class="price-value free">免费</span>
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||
</div>
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||
<div class="price-row">
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||
<span class="price-label">上下文</span>
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||
<span class="price-value">2000000 tokens</span>
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||
</div>
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</div>
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<div class="model-card">
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||
<div class="name">xAI: Grok 4.20</div>
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<div class="provider">xAI <span class="badge intl">国际</span></div>
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||
<div class="price-row">
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||
<span class="price-label">输入</span>
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||
<span class="price-value free">免费</span>
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||
</div>
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||
<div class="price-row">
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||
<span class="price-label">上下文</span>
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||
<span class="price-value">2000000 tokens</span>
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||
</div>
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||
</div>
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<div class="model-card">
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||
<div class="name">xAI: Grok 4.1 Fast</div>
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<div class="provider">xAI <span class="badge intl">国际</span></div>
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||
<div class="price-row">
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||
<span class="price-label">输入</span>
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||
<span class="price-value free">免费</span>
|
||
</div>
|
||
<div class="price-row">
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||
<span class="price-label">上下文</span>
|
||
<span class="price-value">2000000 tokens</span>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="model-card">
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||
<div class="name">OpenAI: GPT-5.4</div>
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||
<div class="provider">OpenAI <span class="badge intl">国际</span></div>
|
||
<div class="price-row">
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||
<span class="price-label">输入</span>
|
||
<span class="price-value free">免费</span>
|
||
</div>
|
||
<div class="price-row">
|
||
<span class="price-label">上下文</span>
|
||
<span class="price-value">1050000 tokens</span>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="model-card">
|
||
<div class="name">OpenAI: GPT-5.5</div>
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||
<div class="provider">OpenAI <span class="badge intl">国际</span></div>
|
||
<div class="price-row">
|
||
<span class="price-label">输入</span>
|
||
<span class="price-value free">免费</span>
|
||
</div>
|
||
<div class="price-row">
|
||
<span class="price-label">上下文</span>
|
||
<span class="price-value">1050000 tokens</span>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="model-card">
|
||
<div class="name">OpenAI: GPT-5.5 Pro</div>
|
||
<div class="provider">OpenAI <span class="badge intl">国际</span></div>
|
||
<div class="price-row">
|
||
<span class="price-label">输入</span>
|
||
<span class="price-value free">免费</span>
|
||
</div>
|
||
<div class="price-row">
|
||
<span class="price-label">上下文</span>
|
||
<span class="price-value">1050000 tokens</span>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="model-card">
|
||
<div class="name">OpenAI GPT Latest</div>
|
||
<div class="provider">~openai <span class="badge intl">国际</span></div>
|
||
<div class="price-row">
|
||
<span class="price-label">输入</span>
|
||
<span class="price-value free">免费</span>
|
||
</div>
|
||
<div class="price-row">
|
||
<span class="price-label">上下文</span>
|
||
<span class="price-value">1050000 tokens</span>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="model-card">
|
||
<div class="name">OpenAI: GPT-5.4 Pro</div>
|
||
<div class="provider">OpenAI <span class="badge intl">国际</span></div>
|
||
<div class="price-row">
|
||
<span class="price-label">输入</span>
|
||
<span class="price-value free">免费</span>
|
||
</div>
|
||
<div class="price-row">
|
||
<span class="price-label">上下文</span>
|
||
<span class="price-value">1050000 tokens</span>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="model-card">
|
||
<div class="name">Owl Alpha</div>
|
||
<div class="provider">OpenRouter <span class="badge intl">国际</span></div>
|
||
<div class="price-row">
|
||
<span class="price-label">输入</span>
|
||
<span class="price-value free">免费</span>
|
||
</div>
|
||
<div class="price-row">
|
||
<span class="price-label">上下文</span>
|
||
<span class="price-value">1048756 tokens</span>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="model-card">
|
||
<div class="name">Google Gemini Flash Latest</div>
|
||
<div class="provider">~google <span class="badge intl">国际</span></div>
|
||
<div class="price-row">
|
||
<span class="price-label">输入</span>
|
||
<span class="price-value free">免费</span>
|
||
</div>
|
||
<div class="price-row">
|
||
<span class="price-label">上下文</span>
|
||
<span class="price-value">1048576 tokens</span>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="model-card">
|
||
<div class="name">Google: Gemini 2.5 Flash Lite</div>
|
||
<div class="provider">Google <span class="badge intl">国际</span></div>
|
||
<div class="price-row">
|
||
<span class="price-label">输入</span>
|
||
<span class="price-value free">免费</span>
|
||
</div>
|
||
<div class="price-row">
|
||
<span class="price-label">上下文</span>
|
||
<span class="price-value">1048576 tokens</span>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="model-card">
|
||
<div class="name">Google: Gemini 2.0 Flash Lite</div>
|
||
<div class="provider">Google <span class="badge intl">国际</span></div>
|
||
<div class="price-row">
|
||
<span class="price-label">输入</span>
|
||
<span class="price-value free">免费</span>
|
||
</div>
|
||
<div class="price-row">
|
||
<span class="price-label">上下文</span>
|
||
<span class="price-value">1048576 tokens</span>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="model-card">
|
||
<div class="name">Meta: Llama 4 Maverick</div>
|
||
<div class="provider">meta-llama <span class="badge intl">国际</span></div>
|
||
<div class="price-row">
|
||
<span class="price-label">输入</span>
|
||
<span class="price-value free">免费</span>
|
||
</div>
|
||
<div class="price-row">
|
||
<span class="price-label">上下文</span>
|
||
<span class="price-value">1048576 tokens</span>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="model-card">
|
||
<div class="name">Google: Lyria 3 Clip Preview</div>
|
||
<div class="provider">Google <span class="badge intl">国际</span></div>
|
||
<div class="price-row">
|
||
<span class="price-label">输入</span>
|
||
<span class="price-value free">免费</span>
|
||
</div>
|
||
<div class="price-row">
|
||
<span class="price-label">上下文</span>
|
||
<span class="price-value">1048576 tokens</span>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="model-card">
|
||
<div class="name">Google: Lyria 3 Pro Preview</div>
|
||
<div class="provider">Google <span class="badge intl">国际</span></div>
|
||
<div class="price-row">
|
||
<span class="price-label">输入</span>
|
||
<span class="price-value free">免费</span>
|
||
</div>
|
||
<div class="price-row">
|
||
<span class="price-label">上下文</span>
|
||
<span class="price-value">1048576 tokens</span>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="model-card">
|
||
<div class="name">Google Gemini Pro Latest</div>
|
||
<div class="provider">~google <span class="badge intl">国际</span></div>
|
||
<div class="price-row">
|
||
<span class="price-label">输入</span>
|
||
<span class="price-value free">免费</span>
|
||
</div>
|
||
<div class="price-row">
|
||
<span class="price-label">上下文</span>
|
||
<span class="price-value">1048576 tokens</span>
|
||
</div>
|
||
</div>
|
||
|
||
<div class="model-card">
|
||
<div class="name">Google: Gemini 3 Flash Preview</div>
|
||
<div class="provider">Google <span class="badge intl">国际</span></div>
|
||
<div class="price-row">
|
||
<span class="price-label">输入</span>
|
||
<span class="price-value free">免费</span>
|
||
</div>
|
||
<div class="price-row">
|
||
<span class="price-label">上下文</span>
|
||
<span class="price-value">1048576 tokens</span>
|
||
</div>
|
||
</div>
|
||
|
||
</div>
|
||
|
||
<p style="text-align: center; color: var(--text-secondary); margin-top: 12px;">... 共 375 个免费模型,以上为前20个</p>
|
||
|
||
</div>
|
||
|
||
|
||
|
||
|
||
<div class="section">
|
||
<h2>🌍 国际低价模型 TOP 5</h2>
|
||
<table>
|
||
<tr><th>排名</th><th>模型</th><th>厂商</th><th>输入价格</th><th>输出价格</th><th>上下文</th></tr>
|
||
|
||
<tr>
|
||
<td>1</td>
|
||
<td><strong>Qwen3-VL-8B</strong></td>
|
||
<td>Alibaba</td>
|
||
<td>$0.20</td>
|
||
<td>$0.50</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>2</td>
|
||
<td><strong>Qwen3-VL-32B</strong></td>
|
||
<td>Alibaba</td>
|
||
<td>$0.50</td>
|
||
<td>$1.00</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>3</td>
|
||
<td><strong>GPT-5.4 Mini</strong></td>
|
||
<td>OpenAI</td>
|
||
<td>$0.75</td>
|
||
<td>$4.50</td>
|
||
<td>200000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>4</td>
|
||
<td><strong>Doubao-Pro</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$0.80</td>
|
||
<td>$2.00</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>5</td>
|
||
<td><strong>DeepSeek-V3</strong></td>
|
||
<td>DeepSeek</td>
|
||
<td>$1.00</td>
|
||
<td>$2.00</td>
|
||
<td>64000</td>
|
||
</tr>
|
||
|
||
</table>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
<div class="section">
|
||
<h2>🇨🇳 国内模型 TOP 10</h2>
|
||
<table>
|
||
<tr><th>排名</th><th>模型</th><th>厂商</th><th>输入价格</th><th>输出价格</th><th>上下文</th></tr>
|
||
|
||
<tr>
|
||
<td>1</td>
|
||
<td><strong>DeepSeek V4 Flash</strong></td>
|
||
<td>DeepSeek</td>
|
||
<td>$0.14</td>
|
||
<td>$0.28</td>
|
||
<td>1000000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>2</td>
|
||
<td><strong>doubao-seed-1.6-flash</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$0.15</td>
|
||
<td>$0.30</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>3</td>
|
||
<td><strong>GLM-4.6V-FlashX</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$0.15</td>
|
||
<td>$1.50</td>
|
||
<td>8000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>4</td>
|
||
<td><strong>GLM-Realtime-Flash</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$0.18</td>
|
||
<td>$0.18</td>
|
||
<td>8000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>5</td>
|
||
<td><strong>doubao-seed-2.0-mini</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$0.20</td>
|
||
<td>$0.40</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>6</td>
|
||
<td><strong>doubao-seed-1.6-lite</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$0.30</td>
|
||
<td>$0.60</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>7</td>
|
||
<td><strong>doubao-seed-1.6-flash-128k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$0.30</td>
|
||
<td>$0.60</td>
|
||
<td>128000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>8</td>
|
||
<td><strong>GLM-Realtime-Air</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$0.30</td>
|
||
<td>$0.30</td>
|
||
<td>8000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>9</td>
|
||
<td><strong>doubao-1.5-lite-32k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$0.30</td>
|
||
<td>$0.60</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>10</td>
|
||
<td><strong>doubao-seed-2.0-mini-128k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$0.40</td>
|
||
<td>$0.80</td>
|
||
<td>128000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>11</td>
|
||
<td><strong>DeepSeek V4 Pro</strong></td>
|
||
<td>DeepSeek</td>
|
||
<td>$0.43</td>
|
||
<td>$0.87</td>
|
||
<td>1000000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>12</td>
|
||
<td><strong>GLM-4.7-FlashX</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$0.50</td>
|
||
<td>$3.00</td>
|
||
<td>200000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>13</td>
|
||
<td><strong>GLM-4-Air</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$0.50</td>
|
||
<td>$0.25</td>
|
||
<td>128000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>14</td>
|
||
<td><strong>doubao-seed-1.6-lite-128k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$0.60</td>
|
||
<td>$1.20</td>
|
||
<td>128000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>15</td>
|
||
<td><strong>doubao-seed-1.6-flash-256k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$0.60</td>
|
||
<td>$1.20</td>
|
||
<td>256000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>16</td>
|
||
<td><strong>doubao-seed-2.0-lite</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$0.60</td>
|
||
<td>$1.20</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>17</td>
|
||
<td><strong>doubao-seed-character</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$0.80</td>
|
||
<td>$1.60</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>18</td>
|
||
<td><strong>doubao-seed-1.8</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$0.80</td>
|
||
<td>$1.60</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>19</td>
|
||
<td><strong>doubao-seed-1.6</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$0.80</td>
|
||
<td>$1.60</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>20</td>
|
||
<td><strong>GLM-4.5-Air</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$0.80</td>
|
||
<td>$2.00</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>21</td>
|
||
<td><strong>doubao-pro-32k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$0.80</td>
|
||
<td>$1.60</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>22</td>
|
||
<td><strong>doubao-seed-1.6-vision</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$0.80</td>
|
||
<td>$1.60</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>23</td>
|
||
<td><strong>doubao-1.5-pro-32k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$0.80</td>
|
||
<td>$1.60</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>24</td>
|
||
<td><strong>doubao-seed-2.0-mini-256k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$0.80</td>
|
||
<td>$1.60</td>
|
||
<td>256000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>25</td>
|
||
<td><strong>doubao-seed-2.0-lite-128k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$0.90</td>
|
||
<td>$1.80</td>
|
||
<td>128000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>26</td>
|
||
<td><strong>GLM-4-Long</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$1.00</td>
|
||
<td>$0.50</td>
|
||
<td>1000000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>27</td>
|
||
<td><strong>doubao-seed-1.8-128k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$1.20</td>
|
||
<td>$2.40</td>
|
||
<td>128000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>28</td>
|
||
<td><strong>GLM-4.5-Air (32K+)</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$1.20</td>
|
||
<td>$8.00</td>
|
||
<td>128000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>29</td>
|
||
<td><strong>doubao-seed-code</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$1.20</td>
|
||
<td>$2.40</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>30</td>
|
||
<td><strong>doubao-seed-1.6-vision-128k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$1.20</td>
|
||
<td>$2.40</td>
|
||
<td>128000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>31</td>
|
||
<td><strong>doubao-seed-1.6-lite-256k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$1.20</td>
|
||
<td>$2.40</td>
|
||
<td>256000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>32</td>
|
||
<td><strong>doubao-seed-1.6-128k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$1.20</td>
|
||
<td>$2.40</td>
|
||
<td>128000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>33</td>
|
||
<td><strong>doubao-seed-character-128k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$1.20</td>
|
||
<td>$2.40</td>
|
||
<td>128000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>34</td>
|
||
<td><strong>doubao-seed-code-128k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$1.40</td>
|
||
<td>$2.80</td>
|
||
<td>128000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>35</td>
|
||
<td><strong>doubao-seed-2.0-lite-256k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$1.80</td>
|
||
<td>$3.60</td>
|
||
<td>256000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>36</td>
|
||
<td><strong>deepseek-v3</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$2.00</td>
|
||
<td>$4.00</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>37</td>
|
||
<td><strong>GLM-4.7</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$2.00</td>
|
||
<td>$8.00</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>38</td>
|
||
<td><strong>GLM-4.5V</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$2.00</td>
|
||
<td>$6.00</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>39</td>
|
||
<td><strong>GLM-4.6V</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$2.00</td>
|
||
<td>$6.00</td>
|
||
<td>8000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>40</td>
|
||
<td><strong>Moonshot V1 8K</strong></td>
|
||
<td>Moonshot AI</td>
|
||
<td>$2.00</td>
|
||
<td>$10.00</td>
|
||
<td>8192</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>41</td>
|
||
<td><strong>deepseek-v3.2</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$2.00</td>
|
||
<td>$4.00</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>42</td>
|
||
<td><strong>GLM-TTS</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$2.00</td>
|
||
<td>$0.00</td>
|
||
<td>8000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>43</td>
|
||
<td><strong>glm-4.7</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$2.00</td>
|
||
<td>$4.00</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>44</td>
|
||
<td><strong>doubao-seed-1.6-vision-256k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$2.40</td>
|
||
<td>$4.80</td>
|
||
<td>256000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>45</td>
|
||
<td><strong>doubao-seed-1.8-256k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$2.40</td>
|
||
<td>$4.80</td>
|
||
<td>256000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>46</td>
|
||
<td><strong>doubao-seed-1.6-256k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$2.40</td>
|
||
<td>$4.80</td>
|
||
<td>256000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>47</td>
|
||
<td><strong>doubao-seed-code-256k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$2.80</td>
|
||
<td>$5.60</td>
|
||
<td>256000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>48</td>
|
||
<td><strong>doubao-1.5-vision-pro</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$3.00</td>
|
||
<td>$6.00</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>49</td>
|
||
<td><strong>doubao-seed-2.0-code</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$3.20</td>
|
||
<td>$6.40</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>50</td>
|
||
<td><strong>doubao-seed-2.0-pro</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$3.20</td>
|
||
<td>$6.40</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>51</td>
|
||
<td><strong>deepseek-v3.1</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$4.00</td>
|
||
<td>$8.00</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>52</td>
|
||
<td><strong>Kimi K2 0905 Preview</strong></td>
|
||
<td>Moonshot AI</td>
|
||
<td>$4.00</td>
|
||
<td>$16.00</td>
|
||
<td>262144</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>53</td>
|
||
<td><strong>glm-4.7-128k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$4.00</td>
|
||
<td>$8.00</td>
|
||
<td>128000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>54</td>
|
||
<td><strong>GLM-5</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$4.00</td>
|
||
<td>$18.00</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>55</td>
|
||
<td><strong>deepseek-v3.2-128k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$4.00</td>
|
||
<td>$8.00</td>
|
||
<td>128000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>56</td>
|
||
<td><strong>GLM-4.7 (32K+)</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$4.00</td>
|
||
<td>$16.00</td>
|
||
<td>200000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>57</td>
|
||
<td><strong>deepseek-r1</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$4.00</td>
|
||
<td>$8.00</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>58</td>
|
||
<td><strong>GLM-4V-Plus</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$4.00</td>
|
||
<td>$4.00</td>
|
||
<td>8000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>59</td>
|
||
<td><strong>doubao-seed-2.0-code-128k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$4.80</td>
|
||
<td>$9.60</td>
|
||
<td>128000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>60</td>
|
||
<td><strong>doubao-seed-2.0-pro-128k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$4.80</td>
|
||
<td>$9.60</td>
|
||
<td>128000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>61</td>
|
||
<td><strong>GLM-5-Turbo</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$5.00</td>
|
||
<td>$22.00</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>62</td>
|
||
<td><strong>GLM-TTS-Clone</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$6.00</td>
|
||
<td>$0.00</td>
|
||
<td>8000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>63</td>
|
||
<td><strong>GLM-5 (32K+)</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$6.00</td>
|
||
<td>$22.00</td>
|
||
<td>200000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>64</td>
|
||
<td><strong>GLM-5.1</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$6.00</td>
|
||
<td>$24.00</td>
|
||
<td>32000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>65</td>
|
||
<td><strong>Kimi K2.6</strong></td>
|
||
<td>Moonshot AI</td>
|
||
<td>$6.50</td>
|
||
<td>$27.00</td>
|
||
<td>262144</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>66</td>
|
||
<td><strong>GLM-5-Turbo (32K+)</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$7.00</td>
|
||
<td>$26.00</td>
|
||
<td>200000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>67</td>
|
||
<td><strong>GLM-5.1 (32K+)</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$8.00</td>
|
||
<td>$28.00</td>
|
||
<td>200000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>68</td>
|
||
<td><strong>doubao-seed-2.0-code-256k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$9.60</td>
|
||
<td>$19.20</td>
|
||
<td>256000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>69</td>
|
||
<td><strong>doubao-seed-2.0-pro-256k</strong></td>
|
||
<td>ByteDance</td>
|
||
<td>$9.60</td>
|
||
<td>$19.20</td>
|
||
<td>256000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>70</td>
|
||
<td><strong>GLM-4-AirX</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$10.00</td>
|
||
<td>$10.00</td>
|
||
<td>8000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>71</td>
|
||
<td><strong>GLM-ASR-2512</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$16.00</td>
|
||
<td>$0.00</td>
|
||
<td>8000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>72</td>
|
||
<td><strong>ERNIE 5.1</strong></td>
|
||
<td>Baidu</td>
|
||
<td>$22.00</td>
|
||
<td>$22.00</td>
|
||
<td>0</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>73</td>
|
||
<td><strong>ERNIE 5.0</strong></td>
|
||
<td>Baidu</td>
|
||
<td>$40.00</td>
|
||
<td>$40.00</td>
|
||
<td>0</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>74</td>
|
||
<td><strong>GLM-4V</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$50.00</td>
|
||
<td>$50.00</td>
|
||
<td>2000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>75</td>
|
||
<td><strong>GLM-4-Voice</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$80.00</td>
|
||
<td>$80.00</td>
|
||
<td>8000</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td>76</td>
|
||
<td><strong>GLM-4-0520</strong></td>
|
||
<td>Zhipu AI</td>
|
||
<td>$100.00</td>
|
||
<td>$50.00</td>
|
||
<td>128000</td>
|
||
</tr>
|
||
|
||
</table>
|
||
</div>
|
||
|
||
|
||
|
||
<div class="section">
|
||
<h2>💳 腾讯云套餐订阅价</h2>
|
||
<p style="color: var(--text-secondary); margin-bottom: 12px;">以下为套餐订阅价，不参与按模型输入/输出单价排行。</p>
|
||
<table>
|
||
<tr><th>套餐</th><th>月费</th><th>月额度</th><th>上下文上限</th><th>覆盖模型</th></tr>
|
||
|
||
<tr>
|
||
<td><strong>Hy Token Plan Lite</strong></td>
|
||
<td>¥28.00/月</td>
|
||
<td>3500万 Tokens/月</td>
|
||
<td>256K</td>
|
||
<td>1 个（hy3-preview）</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td><strong>通用 Token Plan Lite</strong></td>
|
||
<td>¥39.00/月</td>
|
||
<td>3500万 Tokens/月</td>
|
||
<td>-</td>
|
||
<td>10 个（tc-code-latest, minimax-m2.5, minimax-m2.7）</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td><strong>Hy Token Plan Standard</strong></td>
|
||
<td>¥78.00/月</td>
|
||
<td>1亿 Tokens/月</td>
|
||
<td>256K</td>
|
||
<td>1 个（hy3-preview）</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td><strong>通用 Token Plan Standard</strong></td>
|
||
<td>¥99.00/月</td>
|
||
<td>1亿 Tokens/月</td>
|
||
<td>-</td>
|
||
<td>10 个（tc-code-latest, minimax-m2.5, minimax-m2.7）</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td><strong>Hy Token Plan Pro</strong></td>
|
||
<td>¥238.00/月</td>
|
||
<td>3.2亿 Tokens/月</td>
|
||
<td>256K</td>
|
||
<td>1 个（hy3-preview）</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td><strong>通用 Token Plan Pro</strong></td>
|
||
<td>¥299.00/月</td>
|
||
<td>3.2亿 Tokens/月</td>
|
||
<td>-</td>
|
||
<td>10 个（tc-code-latest, minimax-m2.5, minimax-m2.7）</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td><strong>Hy Token Plan Max</strong></td>
|
||
<td>¥468.00/月</td>
|
||
<td>6.5亿 Tokens/月</td>
|
||
<td>256K</td>
|
||
<td>1 个（hy3-preview）</td>
|
||
</tr>
|
||
|
||
<tr>
|
||
<td><strong>通用 Token Plan Max</strong></td>
|
||
<td>¥599.00/月</td>
|
||
<td>6.5亿 Tokens/月</td>
|
||
<td>-</td>
|
||
<td>10 个（tc-code-latest, minimax-m2.5, minimax-m2.7）</td>
|
||
</tr>
|
||
|
||
</table>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
<div class="section">
|
||
<h2>☁️ 云厂商/官方平台(6 家)</h2>
|
||
<table>
|
||
<tr><th>平台</th><th>模型数</th><th>最低价格</th><th>平均价格</th></tr>
|
||
|
||
<tr><td><strong>Moonshot</strong></td><td>3</td><td>$2.00</td><td>$4.17</td></tr>
|
||
|
||
<tr><td><strong>DeepSeek</strong></td><td>2</td><td>$0.14</td><td>$0.29</td></tr>
|
||
|
||
<tr><td><strong>OpenAI</strong></td><td>3</td><td>$0.75</td><td>$2.75</td></tr>
|
||
|
||
<tr><td><strong>Baidu Qianfan</strong></td><td>44</td><td>$0.00</td><td>$1.41</td></tr>
|
||
|
||
<tr><td><strong>Zhipu</strong></td><td>29</td><td>$0.18</td><td>$10.99</td></tr>
|
||
|
||
<tr><td><strong>ByteDance Volcano</strong></td><td>43</td><td>$0.15</td><td>$2.11</td></tr>
|
||
|
||
</table>
|
||
</div>
|
||
|
||
|
||
|
||
|
||
<div class="section">
|
||
<h2>🔀 中转/聚合平台(1 家)</h2>
|
||
<table>
|
||
<tr><th>平台</th><th>模型数</th><th>最低价格</th><th>平均价格</th></tr>
|
||
|
||
<tr><td><strong>OpenRouter</strong></td><td>380</td><td>$0.00</td><td>$0.02</td></tr>
|
||
|
||
</table>
|
||
</div>
|
||
|
||
|
||
<div class="footer">
|
||
<p>📌 本报告由 LLM Intelligence Hub 自动生成 · 2026-05-13</p>
|
||
<p style="margin-top:8px;font-size:0.8rem;">价格单位:USD/1M tokens</p>
|
||
</div>
|
||
|
||
</div>
|
||
</body>
|
||
</html> |