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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 | gemini-3.7-flash-high | 私廚推薦 | CNY / 1M tokens | 5.475 | 27.375 | - | - |
| 2 | gemini-3.7-flash-high | 消融 | CNY / 1M tokens | 5.475 | 27.375 | - | - |
| 3 | gemini-3.8-flash-high | 私廚推薦 | CNY / 1M tokens | 5.475 | 27.375 | - | - |
| 4 | gemini-3.8-flash-high | 消融 | CNY / 1M tokens | 5.475 | 27.375 | - | - |
| 5 | Qwen3.8-27B-Ablatehub | 私廚推薦 | CNY / 1M tokens | 2.19 | 4.38 | - | - |
| 6 | Qwen3.8-27B-Ablatehub | 消融 | CNY / 1M tokens | 2.19 | 4.38 | - | - |
| 7 | qwen3.8-max | 私廚推薦 | CNY / 1M tokens | 14.6 | 43.8 | - | - |
| 8 | qwen3.8-max | 消融 | CNY / 1M tokens | 14.6 | 43.8 | - | - |
| 9 | Qwen/Qwen3.8-27B | 私廚推薦 | CNY / 1M tokens | 7.3 | 7.3 | - | - |
| 10 | Qwen/Qwen3.8-27B | 消融 | CNY / 1M tokens | 7.3 | 7.3 | - | - |
| 11 | @cf/nvidia/nemotron-3-120b-a12b | cfp | CNY / 1M tokens | 7.3 | 7.3 | - | - |
| 12 | deepseek-4-flash | 私廚推薦 | CNY / 1M tokens | 7.3 | 7.3 | - | - |
| 13 | deepseek-4-flash | 消融 | CNY / 1M tokens | 7.3 | 7.3 | - | - |
| 14 | GLM-5.3-Ablatehub | 私廚推薦 | CNY / 1M tokens | 21.9 | 43.8 | - | - |
| 15 | GLM-5.3-Ablatehub | 消融 | CNY / 1M tokens | 21.9 | 43.8 | - | - |
| 16 | mistral-large-latest | 私廚推薦 | CNY / 1M tokens | 3.65 | 10.95 | - | - |
| 17 | mistral-large-latest | 消融 | CNY / 1M tokens | 3.65 | 10.95 | - | - |
| 18 | omni | 私廚推薦 | CNY / 1M tokens | 0.73 | 0.73 | - | - |
| 19 | omni | 消融 | CNY / 1M tokens | 0.73 | 0.73 | - | - |
| 20 | SWu-GLM-5.3 | 私廚推薦 | CNY / 1M tokens | 18.25 | 32.85 | - | - |
| 21 | SWu-GLM-5.3 | 消融 | CNY / 1M tokens | 18.25 | 32.85 | - | - |
| 22 | SWu-GLM-5.3-Flash | 私廚推薦 | CNY / 1M tokens | 1.825 | 7.3 | - | - |
| 23 | SWu-GLM-5.3-Flash | 消融 | CNY / 1M tokens | 1.825 | 7.3 | - | - |
| 24 | wd/deepseek-ai/DeepSeek-V4.1-Flash | 私廚推薦 | CNY / 1M tokens | 7.3 | 7.3 | - | - |
| 25 | wd/deepseek-ai/DeepSeek-V4.1-Flash | 消融 | CNY / 1M tokens | 7.3 | 7.3 | - | - |