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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 | qwen3.8-max | 国产模型高缓存 | CNY / 1M tokens | 9.856 | 29.6464 | 0.8232 | 12.348 |
| 2 | qwen3.8-max | 国产模型(kimi/glm/mimax/qwen) | CNY / 1M tokens | 8.624 | 25.9406 | 0.7203 | 10.8045 |
| 3 | qwen3.8-max | deepseek | CNY / 1M tokens | 7.392 | 22.2348 | 0.6174 | 9.261 |
| 4 | qwen3.8-max | deepseek-v4-flash0731正式版 | CNY / 1M tokens | 8.008 | 24.0877 | 0.6689 | 10.0328 |
| 5 | deepseek-v4.1-flash | 国产模型高缓存 | CNY / 1M tokens | 1.68 | 6.72 | 0.0336 | - |
| 6 | deepseek-v4.1-flash | 国产模型(kimi/glm/mimax/qwen) | CNY / 1M tokens | 1.47 | 5.88 | 0.0294 | - |
| 7 | deepseek-v4.1-flash | deepseek | CNY / 1M tokens | 1.26 | 5.04 | 0.0252 | - |
| 8 | deepseek-v4.1-flash | deepseek-v4-flash0731正式版 | CNY / 1M tokens | 1.365 | 5.46 | 0.0273 | - |
| 9 | deepseek-v4.1-flash-1017 | 国产模型高缓存 | CNY / 1M tokens | 1.68 | 6.72 | 0.0336 | - |
| 10 | deepseek-v4.1-flash-1017 | 国产模型(kimi/glm/mimax/qwen) | CNY / 1M tokens | 1.47 | 5.88 | 0.0294 | - |
| 11 | deepseek-v4.1-flash-1017 | deepseek | CNY / 1M tokens | 1.26 | 5.04 | 0.0252 | - |
| 12 | deepseek-v4.1-flash-1017 | deepseek-v4-flash0731正式版 | CNY / 1M tokens | 1.365 | 5.46 | 0.0273 | - |
| 13 | deepseek-v4-flash | 国产模型高缓存 | CNY / 1M tokens | 1.68 | 6.72 | 0.0336 | - |
| 14 | deepseek-v4-flash | 国产模型(kimi/glm/mimax/qwen) | CNY / 1M tokens | 1.47 | 5.88 | 0.0294 | - |
| 15 | deepseek-v4-flash | deepseek | CNY / 1M tokens | 1.26 | 5.04 | 0.0252 | - |
| 16 | deepseek-v4-flash | deepseek-v4-flash0731正式版 | CNY / 1M tokens | 1.365 | 5.46 | 0.0273 | - |
| 17 | deepseek-v4-flash-0731 | 国产模型高缓存 | CNY / 1M tokens | 1.68 | 6.72 | 0.0336 | - |
| 18 | deepseek-v4-flash-0731 | 国产模型(kimi/glm/mimax/qwen) | CNY / 1M tokens | 1.47 | 5.88 | 0.0294 | - |
| 19 | deepseek-v4-flash-0731 | deepseek | CNY / 1M tokens | 1.26 | 5.04 | 0.0252 | - |
| 20 | deepseek-v4-flash-0731 | deepseek-v4-flash0731正式版 | CNY / 1M tokens | 1.365 | 5.46 | 0.0273 | - |
| 21 | deepseek-v4-flash-ga-260731 | 国产模型高缓存 | CNY / 1M tokens | 1.68 | 6.72 | 0.0336 | - |
| 22 | deepseek-v4-flash-ga-260731 | 国产模型(kimi/glm/mimax/qwen) | CNY / 1M tokens | 1.47 | 5.88 | 0.0294 | - |
| 23 | deepseek-v4-flash-ga-260731 | deepseek | CNY / 1M tokens | 1.26 | 5.04 | 0.0252 | - |
| 24 | deepseek-v4-flash-ga-260731 | deepseek-v4-flash0731正式版 | CNY / 1M tokens | 1.365 | 5.46 | 0.0273 | - |
| 25 | deepseek-v4-flash-latest | 国产模型高缓存 | CNY / 1M tokens | 1.68 | 6.72 | 0.0336 | - |
| 26 | deepseek-v4-flash-latest | 国产模型(kimi/glm/mimax/qwen) | CNY / 1M tokens | 1.47 | 5.88 | 0.0294 | - |
| 27 | deepseek-v4-flash-latest | deepseek | CNY / 1M tokens | 1.26 | 5.04 | 0.0252 | - |
| 28 | deepseek-v4-flash-latest | deepseek-v4-flash0731正式版 | CNY / 1M tokens | 1.365 | 5.46 | 0.0273 | - |
| 29 | deepseek-v4-pro | 国产模型高缓存 | CNY / 1M tokens | 7.392 | 22.176 | 0.2464 | - |
| 30 | deepseek-v4-pro | 国产模型(kimi/glm/mimax/qwen) | CNY / 1M tokens | 6.468 | 19.404 | 0.2156 | - |
| 31 | deepseek-v4-pro | deepseek | CNY / 1M tokens | 5.544 | 16.632 | 0.1848 | - |
| 32 | deepseek-v4-pro | deepseek-v4-flash0731正式版 | CNY / 1M tokens | 6.006 | 18.018 | 0.2002 | - |
| 33 | deepseek-v4-pro-0813 | 国产模型高缓存 | CNY / 1M tokens | 7.392 | 22.176 | 0.2464 | - |
| 34 | deepseek-v4-pro-0813 | 国产模型(kimi/glm/mimax/qwen) | CNY / 1M tokens | 6.468 | 19.404 | 0.2156 | - |
| 35 | deepseek-v4-pro-0813 | deepseek | CNY / 1M tokens | 5.544 | 16.632 | 0.1848 | - |
| 36 | deepseek-v4-pro-0813 | deepseek-v4-flash0731正式版 | CNY / 1M tokens | 6.006 | 18.018 | 0.2002 | - |
| 37 | deepseek-v4-pro-ga-260813 | 国产模型高缓存 | CNY / 1M tokens | 7.392 | 22.176 | 0.2464 | - |
| 38 | deepseek-v4-pro-ga-260813 | 国产模型(kimi/glm/mimax/qwen) | CNY / 1M tokens | 6.468 | 19.404 | 0.2156 | - |
| 39 | deepseek-v4-pro-ga-260813 | deepseek | CNY / 1M tokens | 5.544 | 16.632 | 0.1848 | - |
| 40 | deepseek-v4-pro-ga-260813 | deepseek-v4-flash0731正式版 | CNY / 1M tokens | 6.006 | 18.018 | 0.2002 | - |
| 41 | glm-5 | 国产模型高缓存 | CNY / 1M tokens | 3.304 | 14.896 | 0.84 | - |
| 42 | glm-5 | 国产模型(kimi/glm/mimax/qwen) | CNY / 1M tokens | 2.891 | 13.034 | 0.735 | - |
| 43 | glm-5 | deepseek | CNY / 1M tokens | 2.478 | 11.172 | 0.63 | - |
| 44 | glm-5 | deepseek-v4-flash0731正式版 | CNY / 1M tokens | 2.6845 | 12.103 | 0.6825 | - |
| 45 | glm-5.1 | 国产模型高缓存 | CNY / 1M tokens | 4.9633 | 19.852 | 1.0752 | - |
| 46 | glm-5.1 | 国产模型(kimi/glm/mimax/qwen) | CNY / 1M tokens | 4.3429 | 17.3705 | 0.9408 | - |
| 47 | glm-5.1 | deepseek | CNY / 1M tokens | 3.7225 | 14.889 | 0.8064 | - |
| 48 | glm-5.1 | deepseek-v4-flash0731正式版 | CNY / 1M tokens | 4.0327 | 16.1298 | 0.8736 | - |
| 49 | glm-5.2 | 国产模型高缓存 | CNY / 1M tokens | 6.608 | 23.072 | 1.6772 | - |
| 50 | glm-5.2 | 国产模型(kimi/glm/mimax/qwen) | CNY / 1M tokens | 5.782 | 20.188 | 1.4675 | - |
| 51 | glm-5.2 | deepseek | CNY / 1M tokens | 4.956 | 17.304 | 1.2579 | - |
| 52 | glm-5.2 | deepseek-v4-flash0731正式版 | CNY / 1M tokens | 5.369 | 18.746 | 1.3627 | - |
| 53 | glm-5.3 | 国产模型高缓存 | CNY / 1M tokens | 6.5401 | 22.8905 | 1.635 | - |
| 54 | glm-5.3 | 国产模型(kimi/glm/mimax/qwen) | CNY / 1M tokens | 5.7226 | 20.0292 | 1.4307 | - |
| 55 | glm-5.3 | deepseek | CNY / 1M tokens | 4.9051 | 17.1679 | 1.2263 | - |
| 56 | glm-5.3 | deepseek-v4-flash0731正式版 | CNY / 1M tokens | 5.3139 | 18.5985 | 1.3285 | - |
| 57 | glm-5.3-flash | 国产模型高缓存 | CNY / 1M tokens | 0.654 | 2.2891 | 0.188 | - |
| 58 | glm-5.3-flash | 国产模型(kimi/glm/mimax/qwen) | CNY / 1M tokens | 0.5723 | 2.0029 | 0.1645 | - |
| 59 | glm-5.3-flash | deepseek | CNY / 1M tokens | 0.4905 | 1.7168 | 0.141 | - |
| 60 | glm-5.3-flash | deepseek-v4-flash0731正式版 | CNY / 1M tokens | 0.5314 | 1.8599 | 0.1528 | - |
| 61 | kimi-k2.6 | 国产模型高缓存 | CNY / 1M tokens | 4.9863 | 20.7123 | 0.8438 | - |
| 62 | kimi-k2.6 | 国产模型(kimi/glm/mimax/qwen) | CNY / 1M tokens | 4.363 | 18.1233 | 0.7384 | - |
| 63 | kimi-k2.6 | deepseek | CNY / 1M tokens | 3.7397 | 15.5342 | 0.6329 | - |
| 64 | kimi-k2.6 | deepseek-v4-flash0731正式版 | CNY / 1M tokens | 4.0514 | 16.8288 | 0.6856 | - |
| 65 | kimi-k2.7-code | 国产模型高缓存 | CNY / 1M tokens | 5.353 | 22.2354 | 1.0706 | - |
| 66 | kimi-k2.7-code | 国产模型(kimi/glm/mimax/qwen) | CNY / 1M tokens | 4.6839 | 19.4559 | 0.9368 | - |
| 67 | kimi-k2.7-code | deepseek | CNY / 1M tokens | 4.0148 | 16.6765 | 0.803 | - |
| 68 | kimi-k2.7-code | deepseek-v4-flash0731正式版 | CNY / 1M tokens | 4.3493 | 18.0662 | 0.8699 | - |
| 69 | kimi-k3 | 国产模型高缓存 | CNY / 1M tokens | 16.4706 | 82.3529 | 1.6471 | - |
| 70 | kimi-k3 | kimi-k3 | CNY / 1M tokens | 13.3824 | 66.9118 | 1.3382 | - |
| 71 | kimi-k3 | kimi-k3-business | CNY / 1M tokens | 20.5882 | 102.9412 | 2.0588 | - |
| 72 | kimi-k3 | test | CNY / 1M tokens | 20.5882 | 102.9412 | 2.0588 | - |