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序号 | 模型 | 分组 | 单位 | 输入价格 | 输出价格 | 缓存读取价格 | 缓存写入价格 |
|---|---|---|---|---|---|---|---|
| 1 | codex-auto-review | plus20 and team25 channel/gpt models | CNY / 1M tokens | 0.5475 | 3.285 | 0.0548 | - |
| 2 | codex-auto-review | 每号独立ip分组高稳定高并发 | CNY / 1M tokens | 1.241 | 7.446 | 0.1241 | - |
| 3 | gpt-5.6-sol | plus20 and team25 channel/gpt models | CNY / 1M tokens | 1.095 | 6.57 | 0.1095 | 1.3688 |
| 4 | gpt-5.6-sol | pro200 channel/gpt models | CNY / 1M tokens | 1.825 | 10.95 | 0.1825 | 2.2813 |
| 5 | gpt-5.6-sol | 每号独立ip分组高稳定高并发 | CNY / 1M tokens | 2.482 | 14.892 | 0.2482 | 3.1025 |
| 6 | gpt-5.6-sol | 官key渠道，更原生 | CNY / 1M tokens | 3.212 | 19.272 | 0.3212 | 4.015 |
| 7 | gpt-5.6-terra | plus20 and team25 channel/gpt models | CNY / 1M tokens | 0.438 | 2.628 | 0.0438 | 0.5475 |
| 8 | gpt-5.6-terra | pro200 channel/gpt models | CNY / 1M tokens | 0.73 | 4.38 | 0.073 | 0.9125 |
| 9 | gpt-5.6-terra | 每号独立ip分组高稳定高并发 | CNY / 1M tokens | 0.9928 | 5.9568 | 0.0993 | 1.241 |
| 10 | gpt-5.6-terra | 官key渠道，更原生 | CNY / 1M tokens | 1.2848 | 7.7088 | 0.1285 | 1.606 |
| 11 | gpt-6.1-sol | plus20 and team25 channel/gpt models | CNY / 1M tokens | 0.438 | 2.19 | 0.0219 | 0.5475 |
| 12 | gpt-6.1-sol | pro200 channel/gpt models | CNY / 1M tokens | 0.73 | 3.65 | 0.0365 | 0.9125 |
| 13 | gpt-6.1-sol | 每号独立ip分组高稳定高并发 | CNY / 1M tokens | 0.9928 | 4.964 | 0.0496 | 1.241 |
| 14 | gpt-6.1-sol | 官key渠道，更原生 | CNY / 1M tokens | 1.2848 | 6.424 | 0.0642 | 1.606 |
| 15 | gpt-6.1-terra | plus20 and team25 channel/gpt models | CNY / 1M tokens | 0.219 | 1.095 | 0.011 | 0.2738 |
| 16 | gpt-6.1-terra | pro200 channel/gpt models | CNY / 1M tokens | 0.365 | 1.825 | 0.0183 | 0.4563 |
| 17 | gpt-6-astra | plus20 and team25 channel/gpt models | CNY / 1M tokens | 2.19 | 10.95 | 0.219 | 2.7375 |
| 18 | gpt-6-astra | pro200 channel/gpt models | CNY / 1M tokens | 3.65 | 18.25 | 0.365 | 4.5625 |
| 19 | gpt-6-astra | 每号独立ip分组高稳定高并发 | CNY / 1M tokens | 4.964 | 24.82 | 0.4964 | 6.205 |
| 20 | gpt-6-astra | 官key渠道，更原生 | CNY / 1M tokens | 6.424 | 32.12 | 0.6424 | 8.03 |
| 21 | gpt-6-sol | plus20 and team25 channel/gpt models | CNY / 1M tokens | 0.438 | 2.19 | 0.0438 | 0.5475 |
| 22 | gpt-6-sol | pro200 channel/gpt models | CNY / 1M tokens | 0.73 | 3.65 | 0.073 | 0.9125 |
| 23 | gpt-6-sol | 每号独立ip分组高稳定高并发 | CNY / 1M tokens | 0.9928 | 4.964 | 0.0993 | 1.241 |
| 24 | gpt-6-sol | 官key渠道，更原生 | CNY / 1M tokens | 1.2848 | 6.424 | 0.1285 | 1.606 |
| 25 | gpt-image-2 | plus20 and team25 channel/gpt models | CNY / 次 | 0.1752 | - | - | - |
| 26 | gpt-image-2 | 每号独立ip分组高稳定高并发 | CNY / 次 | 0.3971 | - | - | - |
| 27 | gpt-image-2.5-flare | 每号独立ip分组高稳定高并发 | CNY / 次 | 0.2978 | - | - | - |
| 28 | gpt-image-2.5-sunburst | 每号独立ip分组高稳定高并发 | CNY / 次 | 0.3475 | - | - | - |
| 29 | claude-fable-5 | aws kiro pro 20/claude models | CNY / 1M tokens | 6.57 | 32.85 | 0.657 | 8.2125 |
| 30 | claude-fable-5 | max200 channel/claude models | CNY / 1M tokens | 18.25 | 91.25 | 1.825 | 22.8125 |
| 31 | claude-fable-5-1 | aws kiro pro 20/claude models | CNY / 1M tokens | 6.57 | 32.85 | 0.1643 | 8.2125 |
| 32 | claude-fable-5-1 | max200 channel/claude models | CNY / 1M tokens | 18.25 | 91.25 | 0.4563 | 22.8125 |
| 33 | claude-haiku-4-5 | aws kiro pro 20/claude models | CNY / 1M tokens | 0.657 | 3.285 | 0.0657 | 0.8213 |
| 34 | claude-haiku-4-5-20251001 | aws kiro pro 20/claude models | CNY / 1M tokens | 0.657 | 3.285 | 0.0657 | 0.8213 |
| 35 | claude-haiku-4-5-20251001 | max200 channel/claude models | CNY / 1M tokens | 1.825 | 9.125 | 0.1825 | 2.2813 |
| 36 | claude-haiku-5-5 | max200 channel/claude models | CNY / 1M tokens | 0.1825 | 0.9125 | 0.0183 | 0.2281 |
| 37 | claude-opus-4-6 | aws kiro pro 20/claude models | CNY / 1M tokens | 3.285 | 16.425 | 0.3285 | 4.1062 |
| 38 | claude-opus-4-6 | max200 channel/claude models | CNY / 1M tokens | 9.125 | 45.625 | 0.9125 | 11.4063 |
| 39 | claude-opus-4-7 | aws kiro pro 20/claude models | CNY / 1M tokens | 3.285 | 16.425 | 0.3285 | 4.1062 |
| 40 | claude-opus-4-7 | max200 channel/claude models | CNY / 1M tokens | 9.125 | 45.625 | 0.9125 | 11.4063 |
| 41 | claude-opus-4-8 | aws kiro pro 20/claude models | CNY / 1M tokens | 3.285 | 16.425 | 0.3285 | 4.1062 |
| 42 | claude-opus-4-8 | max200 channel/claude models | CNY / 1M tokens | 9.125 | 45.625 | 0.9125 | 11.4063 |
| 43 | claude-opus-5 | aws kiro pro 20/claude models | CNY / 1M tokens | 3.285 | 16.425 | 0.3285 | 4.1062 |
| 44 | claude-opus-5 | max200 channel/claude models | CNY / 1M tokens | 9.125 | 45.625 | 0.9125 | 11.4063 |
| 45 | claude-opus-5-5 | aws kiro pro 20/claude models | CNY / 1M tokens | 2.628 | 13.14 | 0.1314 | 3.285 |
| 46 | claude-opus-5-5 | max200 channel/claude models | CNY / 1M tokens | 7.3 | 36.5 | 0.365 | 9.125 |
| 47 | claude-sonnet-4-6 | aws kiro pro 20/claude models | CNY / 1M tokens | 1.971 | 9.855 | 0.1971 | 2.4638 |
| 48 | claude-sonnet-4-6 | max200 channel/claude models | CNY / 1M tokens | 5.475 | 27.375 | 0.5475 | 6.8438 |
| 49 | claude-sonnet-5 | aws kiro pro 20/claude models | CNY / 1M tokens | 1.971 | 9.855 | 0.1971 | 2.4638 |
| 50 | claude-sonnet-5 | max200 channel/claude models | CNY / 1M tokens | 5.475 | 27.375 | 0.5475 | 6.8438 |
| 51 | claude-sonnet-5-5 | aws kiro pro 20/claude models | CNY / 1M tokens | 1.314 | 6.57 | 0.1314 | 1.6425 |
| 52 | claude-sonnet-5-5 | max200 channel/claude models | CNY / 1M tokens | 3.65 | 18.25 | 0.365 | 4.5625 |
| 53 | gemini-3.1-pro-preview | google gemini models | CNY / 1M tokens | 1.168 | 7.008 | 0.1168 | - |
| 54 | gemini-3.7-flash | google gemini models | CNY / 1M tokens | 0.876 | 4.38 | 0.0876 | - |
| 55 | gemini-3.8-flash | google gemini models | CNY / 1M tokens | 0.876 | 4.38 | 0.0876 | - |
| 56 | gemini-4-argon | google gemini models | CNY / 1M tokens | 2.336 | 11.68 | 0.1168 | - |
| 57 | qwen3.8-flash | Chinese models group like kimi and deepseek | CNY / 1M tokens | 0.219 | 0.6862 | 0.0234 | - |
| 58 | qwen3.8-max | Chinese models group like kimi and deepseek | CNY / 1M tokens | 2.92 | 8.76 | 0.365 | 3.65 |
| 59 | grok-4.5 | grok paid subscription group -super/plus/heavy | CNY / 1M tokens | 0.657 | 1.971 | 0.0986 | - |
| 60 | grok-4.6 | grok models grok mixed group | CNY / 1M tokens | 0.6132 | 1.8396 | 0.1533 | - |
| 61 | grok-4.6 | grok paid subscription group -super/plus/heavy | CNY / 1M tokens | 0.657 | 1.971 | 0.1642 | - |
| 62 | grok-4.7 | grok models grok mixed group | CNY / 1M tokens | 0.6132 | 1.8396 | 0.1533 | - |
| 63 | grok-4.7 | grok paid subscription group -super/plus/heavy | CNY / 1M tokens | 0.657 | 1.971 | 0.1642 | - |
| 64 | deepseek-v4.1-flash | Chinese models group like kimi and deepseek | CNY / 1M tokens | 0.4294 | 1.7176 | 0.0086 | - |
| 65 | deepseek-v4.1-flash-0910 | Chinese models group like kimi and deepseek | CNY / 1M tokens | 0.4294 | 1.7176 | 0.0086 | - |
| 66 | deepseek-v4-flash | Chinese models group like kimi and deepseek | CNY / 1M tokens | 0.438 | 1.752 | 0.0088 | - |
| 67 | deepseek-v4-pro | Chinese models group like kimi and deepseek | CNY / 1M tokens | 1.9324 | 5.7971 | 0.0644 | - |
| 68 | deepseek-v4-pro-0813 | Chinese models group like kimi and deepseek | CNY / 1M tokens | 1.9324 | 5.7971 | 0.0644 | - |
| 69 | glm-5.2 | Chinese models group like kimi and deepseek | CNY / 1M tokens | 1.7176 | 6.0118 | 0.4294 | - |
| 70 | glm-5.3 | Chinese models group like kimi and deepseek | CNY / 1M tokens | 1.7176 | 6.0118 | 0.4294 | - |
| 71 | glm-5.3-flash | Chinese models group like kimi and deepseek | CNY / 1M tokens | 0.1718 | 0.6012 | 0.0494 | - |
| 72 | kimi-k3 | Chinese models group like kimi and deepseek | CNY / 1M tokens | 4.2941 | 21.4706 | 0.4294 | 4.2941 |
| 73 | MiniMax-M3 | Chinese models group like kimi and deepseek | CNY / 1M tokens | 0.438 | 1.752 | 0.0876 | - |