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WenModel
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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 | qwen3.5-27b | group88 | CNY / 1M tokens | 3.8544 | 30.8352 | - | - |
| 2 | qwen3.5-plus | group88 | CNY / 1M tokens | 3.0835 | 18.5011 | 0.3212 | 3.8544 |
| 3 | qwen3.5-plus | svip分组 | CNY / 1M tokens | 3.504 | 21.024 | 0.365 | 4.38 |
| 4 | qwen3.6-flash | group88 | CNY / 1M tokens | 7.7088 | 46.2528 | 0.7709 | 9.636 |
| 5 | qwen3.6-flash | svip分组 | CNY / 1M tokens | 8.76 | 52.56 | 0.876 | 10.95 |
| 6 | qwen3.6-max-preview | group88 | CNY / 1M tokens | 57.816 | 346.896 | 5.7816 | 72.27 |
| 7 | qwen3.6-plus | svip分组 | CNY / 1M tokens | 11.68 | 70.08 | 1.168 | 14.6 |
| 8 | qwen3.6-plus_s | group68 | CNY / 1M tokens | 9.928 | 59.568 | 0.9928 | 12.41 |
| 9 | qwen3.6-plus_s | group88 | CNY / 1M tokens | 12.848 | 77.088 | 1.2848 | 16.06 |
| 10 | qwen3.7-max | group88 | CNY / 1M tokens | 77.088 | 231.264 | 7.7088 | 96.36 |
| 11 | qwen3.7-plus | group88 | CNY / 1M tokens | 12.848 | 51.392 | 2.5696 | 16.06 |
| 12 | qwen3-coder-flash-2025-07-28 | svip分组 | CNY / 1M tokens | 4.38 | 17.52 | - | - |
| 13 | qwen3-max-2025-09-23 | svip分组 | CNY / 1M tokens | 26.28 | 105.12 | - | - |
| 14 | qwen3-max-preview | svip分组 | CNY / 1M tokens | 26.28 | 105.12 | 5.256 | - |
| 15 | qwen-plus-latest | svip分组 | CNY / 1M tokens | 3.504 | 8.76 | - | - |
| 16 | deepseek-v4-flash | group68 | CNY / 1M tokens | 4.964 | 9.928 | 0.0993 | - |
| 17 | deepseek-v4-flash | group88 | CNY / 1M tokens | 6.424 | 12.848 | 0.1285 | - |
| 18 | deepseek-v4-pro | group68 | CNY / 1M tokens | 14.892 | 29.784 | 0.1241 | - |
| 19 | deepseek-v4-pro-of | group88 | CNY / 1M tokens | 19.272 | 38.544 | 0.1606 | - |
| 20 | doubao-seed-1-8-251228 | wm_seed | CNY / 1M tokens | 5.7232 | 14.308 | 1.1446 | 1.2162 |
| 21 | glm-4.7 | group95 | CNY / 1M tokens | 13.87 | 55.48 | 2.774 | - |
| 22 | glm-5 | group68 | CNY / 1M tokens | 19.856 | 89.352 | 4.964 | - |
| 23 | glm-5 | group88 | CNY / 1M tokens | 25.696 | 115.632 | 6.424 | - |
| 24 | glm-5 | group95 | CNY / 1M tokens | 27.74 | 124.83 | 6.935 | - |
| 25 | glm-5.1 | group68 | CNY / 1M tokens | 29.784 | 119.136 | 6.4532 | 6.4532 |
| 26 | glm-5.1 | group88 | CNY / 1M tokens | 38.544 | 154.176 | 8.3512 | 8.3512 |
| 27 | glm-5.1 | group95 | CNY / 1M tokens | 41.61 | 166.44 | 9.0155 | 9.0155 |
| 28 | glm-5.2 | group68 | CNY / 1M tokens | 39.712 | 138.992 | 9.928 | - |
| 29 | glm-5.2 | group88 | CNY / 1M tokens | 51.392 | 179.872 | 12.848 | - |
| 30 | glm-5.2 | group95 | CNY / 1M tokens | 55.48 | 194.18 | 13.87 | - |
| 31 | kimi-k2.5 | group68 | CNY / 1M tokens | 23.8272 | 119.136 | 3.9712 | - |
| 32 | kimi-k2.5 | group88 | CNY / 1M tokens | 30.8352 | 154.176 | 5.1392 | - |
| 33 | kimi-k2.6 | group68 | CNY / 1M tokens | 37.7264 | 158.848 | 6.3539 | - |
| 34 | kimi-k2.6 | group88 | CNY / 1M tokens | 48.8224 | 205.568 | 8.2227 | - |
| 35 | kimi-k2.7-code | group68 | CNY / 1M tokens | 37.7264 | 158.848 | 7.5453 | - |
| 36 | kimi-k2.7-code | group88 | CNY / 1M tokens | 48.8224 | 205.568 | 9.7645 | - |
| 37 | MiniMax-M2.1 | group95 | CNY / 1M tokens | 14.5635 | 58.254 | 2.9127 | 18.2044 |
| 38 | MiniMax-M2.5 | group88 | CNY / 1M tokens | 13.4904 | 53.9616 | 2.6981 | 16.863 |
| 39 | MiniMax-M2.5 | group95 | CNY / 1M tokens | 14.5635 | 58.254 | 2.9127 | 18.2044 |
| 40 | MiniMax-M2.7 | group68 | CNY / 1M tokens | 10.4244 | 41.6976 | 2.0849 | 13.0305 |
| 41 | MiniMax-M2.7 | group88 | CNY / 1M tokens | 13.4904 | 53.9616 | 2.6981 | 16.863 |
| 42 | MiniMax-M3 | group68 | CNY / 1M tokens | 10.4244 | 41.6976 | 2.0849 | - |
| 43 | seed-2 | 测试 | CNY / 1M tokens | 5,475,000 | 5,475,000 | - | - |
| 44 | seed-2-1080 | 测试 | CNY / 1M tokens | 5,475,000 | 5,475,000 | - | - |
| 45 | seed-2-fast | 测试 | CNY / 次 | 730,000 | - | - | - |
| 46 | seed-2-fast-vision | 测试 | CNY / 1M tokens | 5,475,000 | 5,475,000 | - | - |
| 47 | seed-2-vision | 测试 | CNY / 1M tokens | 5,475,000 | 5,475,000 | - | - |
| 48 | seed-2-vision-1080 | 测试 | CNY / 1M tokens | 5,475,000 | 5,475,000 | - | - |
| 49 | speech-02-hd | wm_minimaxtts | CNY / 1M tokens | 3,257.625 | 3,257.625 | - | - |
| 50 | speech-02-turbo | wm_minimaxtts | CNY / 1M tokens | 1,861.5 | 1,861.5 | - | - |
| 51 | speech-2.6-hd | wm_minimaxtts | CNY / 1M tokens | 3,257.625 | 3,257.625 | - | - |
| 52 | speech-2.6-turbo | wm_minimaxtts | CNY / 1M tokens | 1,861.5 | 1,861.5 | - | - |
| 53 | speech-2.8-hd | wm_minimaxtts | CNY / 1M tokens | 3,257.625 | 3,257.625 | - | - |
| 54 | speech-2.8-turbo | wm_minimaxtts | CNY / 1M tokens | 1,861.5 | 1,861.5 | - | - |
| 55 | wk-f-2-pro | svip分组 | CNY / 次 | 1.752 | - | - | - |
| 56 | wk-g-31f-image | group88_73 | CNY / 1M tokens | 171.1675 | 20,540.0976 | - | - |
| 57 | wk-t-image-2 | group88_73 | CNY / 1M tokens | 1,711.6748 | 10,270.0488 | 684.6699 | 684.6699 |
| 58 | wm_copus4.7 | group88_73 | CNY / 1M tokens | 234.476 | 1,172.38 | 23.4476 | 293.095 |
| 59 | wm_xk.1 | wm_seed | CNY / 1M tokens | 22.8928 | 114.464 | 4.5786 | 0.1216 |
| 60 | wm_xk.2 | wm_seed | CNY / 1M tokens | 4.2924 | 25.7544 | 12.8772 | 0.1216 |
| 61 | wm_xk.3 | wm_seed | CNY / 1M tokens | 1.4308 | 14.308 | 4.2924 | 0.1216 |
| 62 | wm_xk.4 | wm_seed | CNY / 1M tokens | 22.8928 | 114.464 | 4.5786 | 0.1216 |