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AI Lab
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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 | gpt-5.4 | 默认分组 | CNY / 1M tokens | 9.8 | 58.8 | 0.98 | - |
| 2 | gpt-5.4-mini | 默认分组 | CNY / 1M tokens | 5.81 | 34.86 | - | 0.63 |
| 3 | gpt-5.5 | 默认分组 | CNY / 1M tokens | 19.6 | 117.6 | 1.96 | - |
| 4 | gpt-5.6-luna | 默认分组 | CNY / 1M tokens | 0.84 | 5.04 | 0.07 | 1.05 |
| 5 | gpt-5.6-sol | 默认分组 | CNY / 1M tokens | 17.5 | 105 | 1.75 | 21.77 |
| 6 | gpt-5.6-terra | 默认分组 | CNY / 1M tokens | 8.4 | 50.4 | 0.84 | 10.36 |
| 7 | gpt-6.1-sol | 默认分组 | CNY / 1M tokens | 14 | 70 | 0.7 | 17.5 |
| 8 | gpt-6.1-sol | zhaogang_test | CNY / 1M tokens | 14 | 70 | 0.7 | 17.5 |
| 9 | gpt-6.1-terra | 默认分组 | CNY / 1M tokens | 6.7 | 33.4 | 0.33 | 8.34 |
| 10 | gpt-6-astra | 默认分组 | CNY / 1M tokens | 70 | 350 | 7 | 87.5 |
| 11 | gpt-6-astra | zhaogang_test | CNY / 1M tokens | 70 | 350 | 7 | 87.5 |
| 12 | gpt-6-luna | 默认分组 | CNY / 1M tokens | 0.7 | 3.5 | 0.07 | 0.875 |
| 13 | gpt-6-sol | 默认分组 | CNY / 1M tokens | 14 | 70 | 1.4 | 17.5 |
| 14 | gpt-image-2 | 默认分组 | CNY / 1M tokens | 35 | 210 | 8.75 | - |
| 15 | gpt-image-2.5-flare | 默认分组 | CNY / 1M tokens | 35 | 210 | 8.75 | - |
| 16 | gpt-image-2.5-sunburst | 默认分组 | CNY / 1M tokens | 35 | 210 | 8.75 | - |
| 17 | gpt-image-2-high-adobe | 默认分组 | CNY / 次 | 0.2107 | - | - | - |
| 18 | gpt-image-2-low-adobe | 默认分组 | CNY / 次 | 0.1054 | - | - | - |
| 19 | gpt-image-2-medium-adobe | 默认分组 | CNY / 次 | 0.1577 | - | - | - |
| 20 | gpt-image-2-sp | 默认分组 | CNY / 次 | 0.2016 | - | - | - |
| 21 | claude-fable-5 | 默认分组 | CNY / 1M tokens | 70 | 350 | 7 | 87.5 |
| 22 | claude-fable-5 | fk_model | CNY / 1M tokens | 42 | 210 | 4.2 | 52.5 |
| 23 | claude-fable-5-1 | 默认分组 | CNY / 1M tokens | 70 | 350 | 1.75 | 87.5 |
| 24 | claude-fable-5-1 | fk_model | CNY / 1M tokens | 42 | 210 | 1.05 | 52.5 |
| 25 | claude-opus-4-6 | 默认分组 | CNY / 1M tokens | 35 | 175 | 3.5 | 43.75 |
| 26 | claude-opus-4-6 | fk_model | CNY / 1M tokens | 21 | 105 | 2.1 | 26.25 |
| 27 | claude-opus-4-7 | 默认分组 | CNY / 1M tokens | 35 | 175 | 3.5 | - |
| 28 | claude-opus-4-7 | fk_model | CNY / 1M tokens | 21 | 105 | 2.1 | - |
| 29 | claude-opus-4-8 | 默认分组 | CNY / 1M tokens | 35 | 175 | 3.5 | - |
| 30 | claude-opus-4-8 | fk_model | CNY / 1M tokens | 21 | 105 | 2.1 | - |
| 31 | claude-opus-5 | 默认分组 | CNY / 1M tokens | 28 | 140 | 2.8 | 35 |
| 32 | claude-opus-5 | fk_model | CNY / 1M tokens | 16.8 | 84 | 1.68 | 21 |
| 33 | claude-opus-5 | 阿里k3测试 | CNY / 1M tokens | 16.8 | 84 | 1.68 | 21 |
| 34 | claude-opus-5-5 | 默认分组 | CNY / 1M tokens | 28 | 140 | 1.4 | 35 |
| 35 | claude-opus-5-5 | fk_model | CNY / 1M tokens | 16.8 | 84 | 0.84 | 21 |
| 36 | claude-opus-5-5 | 阿里k3测试 | CNY / 1M tokens | 16.8 | 84 | 0.84 | 21 |
| 37 | claude-opus-5-5 | zhaogang_test | CNY / 1M tokens | 28 | 140 | 1.4 | 35 |
| 38 | claude-sonnet-5 | 默认分组 | CNY / 1M tokens | 14 | 70 | 1.4 | 17.5 |
| 39 | claude-sonnet-5 | fk_model | CNY / 1M tokens | 8.4 | 42 | 0.84 | 10.5 |
| 40 | claude-sonnet-5-5 | 默认分组 | CNY / 1M tokens | 14 | 70 | 1.4 | 17.5 |
| 41 | claude-sonnet-5-5 | fk_model | CNY / 1M tokens | 8.4 | 42 | 0.84 | 10.5 |
| 42 | claude-sonnet-5-5 | zhaogang_test | CNY / 1M tokens | 14 | 70 | 1.4 | 17.5 |
| 43 | gemini-3.1-flash-image-preview | 默认分组 | CNY / 1M tokens | 14 | 14 | - | - |
| 44 | gemini-3.6-flash | 默认分组 | CNY / 1M tokens | 10.5 | 52.5 | 1.05 | - |
| 45 | gemini-4-argon | 默认分组 | CNY / 1M tokens | 9.8 | 49 | 0.49 | 9.8 |
| 46 | qwen3.8-max | 默认分组 | CNY / 1M tokens | 12 | 36 | 1 | 15 |
| 47 | qwen3-vl-rerank | 默认分组 | CNY / 1M tokens | 0.455 | 0.455 | - | - |
| 48 | qwen3-vl-rerank | xunmei | CNY / 1M tokens | 0.455 | 0.455 | - | - |
| 49 | deepseek-v4.1-flash | 默认分组 | CNY / 1M tokens | 1 | 4 | 0.1 | - |
| 50 | deepseek-v4.1-flash | fk_model | CNY / 1M tokens | 0.6 | 2.4 | 0.06 | - |
| 51 | deepseek-v4.1-flash-1017 | 默认分组 | CNY / 1M tokens | 0.5 | 2 | 0.02 | 0.017 |
| 52 | deepseek-v4.1-flash-1017 | fk_model | CNY / 1M tokens | 0.3 | 1.2 | 0.012 | 0.0102 |
| 53 | deepseek-v4-flash-0731 | 默认分组 | CNY / 1M tokens | 3 | 9 | 0.1 | - |
| 54 | deepseek-v4-flash-0731 | fk_model | CNY / 1M tokens | 1.8 | 5.4 | 0.06 | - |
| 55 | deepseek-v4-pro | 默认分组 | CNY / 1M tokens | 12 | 24 | 0.1 | - |
| 56 | deepseek-v4-pro-0813 | 默认分组 | CNY / 1M tokens | 9 | 27 | 0.9 | - |
| 57 | doubao-embedding-vision-251215 | 默认分组 | CNY / 1M tokens | 0.7 | 0.7 | - | - |
| 58 | doubao-embedding-vision-251215 | xunmei | CNY / 1M tokens | 0.7 | 0.7 | - | - |
| 59 | doubao-seedance-1-0-lite-i2v | 默认分组 | CNY / 1M tokens | 525 | 525 | - | - |
| 60 | doubao-seedance-1-0-lite-t2v | 默认分组 | CNY / 1M tokens | 525 | 525 | - | - |
| 61 | doubao-seedance-1-0-pro-250528 | 默认分组 | CNY / 1M tokens | 525 | 525 | - | - |
| 62 | doubao-seedance-1-5-pro-251215 | 默认分组 | CNY / 1M tokens | 525 | 525 | - | - |
| 63 | doubao-seedance-2-0-260128 | 默认分组 | CNY / 1M tokens | 28 | 28 | - | - |
| 64 | doubao-seedance-2-0-260128-max | 默认分组 | CNY / 1M tokens | 28 | - | - | - |
| 65 | doubao-seedance-2-0-fast-260128 | 默认分组 | CNY / 1M tokens | 525 | 525 | - | - |
| 66 | doubao-seedance-2-0-fast-260128-max | 默认分组 | CNY / 1M tokens | 37 | - | - | - |
| 67 | doubao-seedance-2-0-mini-260615 | 默认分组 | CNY / 1M tokens | 525 | 525 | - | - |
| 68 | doubao-seedance-2-0-mini-260615-max | 默认分组 | CNY / 1M tokens | 23 | - | - | - |
| 69 | doubao-seedance-2-5-260628 | 默认分组 | CNY / 1M tokens | 42 | 42 | - | - |
| 70 | doubao-seedance-2-5-260628-max | 默认分组 | CNY / 1M tokens | 77 | - | - | - |
| 71 | doubao-seedream-5-0-pro-260628 | 默认分组 | CNY / 1M tokens | 525 | 525 | - | - |
| 72 | glm-5.1 | 默认分组 | CNY / 1M tokens | 3.64 | 14.63 | 0.77 | - |
| 73 | glm-5.2 | 默认分组 | CNY / 1M tokens | 8 | 28 | 2 | - |
| 74 | glm-5.2 | fk_model | CNY / 1M tokens | 4.8 | 16.8 | 1.2 | - |
| 75 | glm-5.3 | 默认分组 | CNY / 1M tokens | 8 | 28 | 2 | - |
| 76 | glm-5.3 | fk_model | CNY / 1M tokens | 4.8 | 16.8 | 1.2 | - |
| 77 | kimi-k2.6 | 默认分组 | CNY / 1M tokens | 6.5 | 27 | 1.1 | - |
| 78 | kimi-k2.7-code | 默认分组 | CNY / 1M tokens | 6.5 | 27 | 1.3 | - |
| 79 | kimi-k3 | 默认分组 | CNY / 1M tokens | 20 | 100 | 2 | - |
| 80 | kimi-k3 | fk_model | CNY / 1M tokens | 12 | 60 | 1.2 | - |
| 81 | kimi-k3 | 火山k3测试 | CNY / 1M tokens | 12 | 60 | 1.2 | - |
| 82 | kimi-k3 | 阿里k3测试 | CNY / 1M tokens | 12 | 60 | 1.2 | - |
| 83 | kimi-k3.1-pro | 默认分组 | CNY / 1M tokens | 8.45 | 44.2 | 0.845 | 8.45 |
| 84 | kimi-k3.1-pro-highspeed | 默认分组 | CNY / 1M tokens | 16.9 | 88.4 | 0.845 | 16.9 |