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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 | b2b_16 | CNY / 1M tokens | 1.46 | 8.76 | 0.146 | 1.825 |
| 2 | codex-auto-review | b2b_31 | CNY / 1M tokens | 1.46 | 8.76 | 0.146 | 1.825 |
| 3 | codex-auto-review | b2b_59 | CNY / 1M tokens | 1.46 | 8.76 | 0.146 | 1.825 |
| 4 | codex-auto-review | btob | CNY / 1M tokens | 1.46 | 8.76 | 0.146 | 1.825 |
| 5 | codex-auto-review | 默认分组 | CNY / 1M tokens | 1.46 | 8.76 | 0.146 | 1.825 |
| 6 | gpt-5.2 | b2b_16 | CNY / 1M tokens | 12.775 | 102.2 | 1.2775 | - |
| 7 | gpt-5.2 | b2b_31 | CNY / 1M tokens | 12.775 | 102.2 | 1.2775 | - |
| 8 | gpt-5.2 | b2b_59 | CNY / 1M tokens | 12.775 | 102.2 | 1.2775 | - |
| 9 | gpt-5.2 | btob | CNY / 1M tokens | 12.775 | 102.2 | 1.2775 | - |
| 10 | gpt-5.2 | 默认分组 | CNY / 1M tokens | 12.775 | 102.2 | 1.2775 | - |
| 11 | gpt-5.3-codex | b2b_16 | CNY / 1M tokens | 12.775 | 102.2 | 1.2775 | - |
| 12 | gpt-5.3-codex | b2b_31 | CNY / 1M tokens | 12.775 | 102.2 | 1.2775 | - |
| 13 | gpt-5.3-codex | b2b_59 | CNY / 1M tokens | 12.775 | 102.2 | 1.2775 | - |
| 14 | gpt-5.3-codex | btob | CNY / 1M tokens | 12.775 | 102.2 | 1.2775 | - |
| 15 | gpt-5.3-codex | 默认分组 | CNY / 1M tokens | 12.775 | 102.2 | 1.2775 | - |
| 16 | gpt-5.4 | b2b_16 | CNY / 1M tokens | 18.25 | 109.5 | 1.825 | - |
| 17 | gpt-5.4 | b2b_31 | CNY / 1M tokens | 18.25 | 109.5 | 1.825 | - |
| 18 | gpt-5.4 | b2b_59 | CNY / 1M tokens | 18.25 | 109.5 | 1.825 | - |
| 19 | gpt-5.4 | btob | CNY / 1M tokens | 18.25 | 109.5 | 1.825 | - |
| 20 | gpt-5.4 | 默认分组 | CNY / 1M tokens | 18.25 | 109.5 | 1.825 | - |
| 21 | gpt-5.4-mini | b2b_16 | CNY / 1M tokens | 5.475 | 32.85 | 0.5475 | - |
| 22 | gpt-5.4-mini | b2b_31 | CNY / 1M tokens | 5.475 | 32.85 | 0.5475 | - |
| 23 | gpt-5.4-mini | b2b_59 | CNY / 1M tokens | 5.475 | 32.85 | 0.5475 | - |
| 24 | gpt-5.4-mini | btob | CNY / 1M tokens | 5.475 | 32.85 | 0.5475 | - |
| 25 | gpt-5.4-mini | 默认分组 | CNY / 1M tokens | 5.475 | 32.85 | 0.5475 | - |
| 26 | gpt-5.4-pro | b2b_16 | CNY / 1M tokens | 219 | 1,314 | - | - |
| 27 | gpt-5.4-pro | b2b_31 | CNY / 1M tokens | 219 | 1,314 | - | - |
| 28 | gpt-5.4-pro | b2b_59 | CNY / 1M tokens | 219 | 1,314 | - | - |
| 29 | gpt-5.4-pro | btob | CNY / 1M tokens | 219 | 1,314 | - | - |
| 30 | gpt-5.4-pro | 默认分组 | CNY / 1M tokens | 219 | 1,314 | - | - |
| 31 | gpt-5.5 | b2b_16 | CNY / 1M tokens | 36.5 | 219 | 3.65 | - |
| 32 | gpt-5.5 | b2b_31 | CNY / 1M tokens | 36.5 | 219 | 3.65 | - |
| 33 | gpt-5.5 | b2b_59 | CNY / 1M tokens | 36.5 | 219 | 3.65 | - |
| 34 | gpt-5.5 | btob | CNY / 1M tokens | 36.5 | 219 | 3.65 | - |
| 35 | gpt-5.5 | 默认分组 | CNY / 1M tokens | 36.5 | 219 | 3.65 | - |
| 36 | gpt-5.6-luna | b2b_16 | CNY / 1M tokens | 1.46 | 8.76 | 0.146 | 1.825 |
| 37 | gpt-5.6-luna | b2b_31 | CNY / 1M tokens | 1.46 | 8.76 | 0.146 | 1.825 |
| 38 | gpt-5.6-luna | b2b_59 | CNY / 1M tokens | 1.46 | 8.76 | 0.146 | 1.825 |
| 39 | gpt-5.6-luna | btob | CNY / 1M tokens | 1.46 | 8.76 | 0.146 | 1.825 |
| 40 | gpt-5.6-luna | 默认分组 | CNY / 1M tokens | 1.46 | 8.76 | 0.146 | 1.825 |
| 41 | gpt-5.6-sol | b2b_16 | CNY / 1M tokens | 29.2 | 146 | 2.92 | 36.5 |
| 42 | gpt-5.6-sol | b2b_31 | CNY / 1M tokens | 29.2 | 146 | 2.92 | 36.5 |
| 43 | gpt-5.6-sol | b2b_59 | CNY / 1M tokens | 29.2 | 146 | 2.92 | 36.5 |
| 44 | gpt-5.6-sol | btob | CNY / 1M tokens | 29.2 | 146 | 2.92 | 36.5 |
| 45 | gpt-5.6-sol | 默认分组 | CNY / 1M tokens | 29.2 | 146 | 2.92 | 36.5 |
| 46 | gpt-5.6-terra | b2b_16 | CNY / 1M tokens | 14.6 | 87.6 | 1.46 | 18.25 |
| 47 | gpt-5.6-terra | b2b_31 | CNY / 1M tokens | 14.6 | 87.6 | 1.46 | 18.25 |
| 48 | gpt-5.6-terra | b2b_59 | CNY / 1M tokens | 14.6 | 87.6 | 1.46 | 18.25 |
| 49 | gpt-5.6-terra | btob | CNY / 1M tokens | 14.6 | 87.6 | 1.46 | 18.25 |
| 50 | gpt-5.6-terra | 默认分组 | CNY / 1M tokens | 14.6 | 87.6 | 1.46 | 18.25 |
| 51 | gpt-6.1-sol | b2b_16 | CNY / 1M tokens | 14.6 | 73 | 0.73 | 18.25 |
| 52 | gpt-6.1-sol | b2b_31 | CNY / 1M tokens | 14.6 | 73 | 0.73 | 18.25 |
| 53 | gpt-6.1-sol | b2b_59 | CNY / 1M tokens | 14.6 | 73 | 0.73 | 18.25 |
| 54 | gpt-6.1-sol | btob | CNY / 1M tokens | 14.6 | 73 | 0.73 | 18.25 |
| 55 | gpt-6.1-sol | 默认分组 | CNY / 1M tokens | 14.6 | 73 | 0.73 | 18.25 |
| 56 | gpt-6.1-terra | b2b_16 | CNY / 1M tokens | 7.3 | 36.5 | 0.365 | - |
| 57 | gpt-6.1-terra | b2b_31 | CNY / 1M tokens | 7.3 | 36.5 | 0.365 | - |
| 58 | gpt-6.1-terra | b2b_59 | CNY / 1M tokens | 7.3 | 36.5 | 0.365 | - |
| 59 | gpt-6.1-terra | btob | CNY / 1M tokens | 7.3 | 36.5 | 0.365 | - |
| 60 | gpt-6.1-terra | 默认分组 | CNY / 1M tokens | 7.3 | 36.5 | 0.365 | - |
| 61 | gpt-6-astra | b2b_16 | CNY / 1M tokens | 73 | 365 | 7.3 | 91.25 |
| 62 | gpt-6-astra | b2b_31 | CNY / 1M tokens | 73 | 365 | 7.3 | 91.25 |
| 63 | gpt-6-astra | b2b_59 | CNY / 1M tokens | 73 | 365 | 7.3 | 91.25 |
| 64 | gpt-6-astra | btob | CNY / 1M tokens | 73 | 365 | 7.3 | 91.25 |
| 65 | gpt-6-astra | 默认分组 | CNY / 1M tokens | 73 | 365 | 7.3 | 91.25 |
| 66 | gpt-6-luna | b2b_16 | CNY / 1M tokens | 0.73 | 3.65 | 0.073 | 0.9125 |
| 67 | gpt-6-luna | b2b_31 | CNY / 1M tokens | 0.73 | 3.65 | 0.073 | 0.9125 |
| 68 | gpt-6-luna | b2b_59 | CNY / 1M tokens | 0.73 | 3.65 | 0.073 | 0.9125 |
| 69 | gpt-6-luna | btob | CNY / 1M tokens | 0.73 | 3.65 | 0.073 | 0.9125 |
| 70 | gpt-6-luna | 默认分组 | CNY / 1M tokens | 0.73 | 3.65 | 0.073 | 0.9125 |
| 71 | gpt-6-sol | b2b_16 | CNY / 1M tokens | 14.6 | 73 | 1.46 | 18.25 |
| 72 | gpt-6-sol | b2b_31 | CNY / 1M tokens | 14.6 | 73 | 1.46 | 18.25 |
| 73 | gpt-6-sol | b2b_59 | CNY / 1M tokens | 14.6 | 73 | 1.46 | 18.25 |
| 74 | gpt-6-sol | btob | CNY / 1M tokens | 14.6 | 73 | 1.46 | 18.25 |
| 75 | gpt-6-sol | 默认分组 | CNY / 1M tokens | 14.6 | 73 | 1.46 | 18.25 |
| 76 | gpt-image-2 | b2b_16 | CNY / 次 | 1.5403 | - | - | - |
| 77 | gpt-image-2 | b2b_31 | CNY / 次 | 1.5403 | - | - | - |
| 78 | gpt-image-2 | b2b_59 | CNY / 次 | 1.5403 | - | - | - |
| 79 | gpt-image-2 | btob | CNY / 次 | 1.5403 | - | - | - |
| 80 | gpt-image-2 | 默认分组 | CNY / 次 | 1.5403 | - | - | - |
| 81 | gpt-image-2.5-flare | b2b_16 | CNY / 1M tokens | 36.5 | 219 | - | - |
| 82 | gpt-image-2.5-flare | b2b_31 | CNY / 1M tokens | 36.5 | 219 | - | - |
| 83 | gpt-image-2.5-flare | b2b_59 | CNY / 1M tokens | 36.5 | 219 | - | - |
| 84 | gpt-image-2.5-flare | btob | CNY / 1M tokens | 36.5 | 219 | - | - |
| 85 | gpt-image-2.5-flare | 默认分组 | CNY / 1M tokens | 36.5 | 219 | - | - |
| 86 | gpt-image-2.5-sunburst | b2b_16 | CNY / 1M tokens | 36.5 | 219 | - | - |
| 87 | gpt-image-2.5-sunburst | b2b_31 | CNY / 1M tokens | 36.5 | 219 | - | - |
| 88 | gpt-image-2.5-sunburst | b2b_59 | CNY / 1M tokens | 36.5 | 219 | - | - |
| 89 | gpt-image-2.5-sunburst | btob | CNY / 1M tokens | 36.5 | 219 | - | - |
| 90 | gpt-image-2.5-sunburst | 默认分组 | CNY / 1M tokens | 36.5 | 219 | - | - |
| 91 | claude-opus-4-8 | 默认分组 | CNY / 1M tokens | 36.5 | 182.5 | 3.65 | 45.625 |
| 92 | gemini-3.1-flash-image | b2b_16 | CNY / 次 | 0.4891 | - | - | - |
| 93 | gemini-3.1-flash-image | b2b_31 | CNY / 次 | 0.4891 | - | - | - |
| 94 | gemini-3.1-flash-image | b2b_59 | CNY / 次 | 0.4891 | - | - | - |
| 95 | gemini-3.1-flash-image | btob | CNY / 次 | 0.4891 | - | - | - |
| 96 | gemini-3.1-flash-image | 默认分组 | CNY / 次 | 0.4891 | - | - | - |
| 97 | gemini-3.1-flash-lite | b2b_16 | CNY / 1M tokens | 1.825 | 10.95 | 0.1825 | - |
| 98 | gemini-3.1-flash-lite | b2b_31 | CNY / 1M tokens | 1.825 | 10.95 | 0.1825 | - |
| 99 | gemini-3.1-flash-lite | b2b_59 | CNY / 1M tokens | 1.825 | 10.95 | 0.1825 | - |
| 100 | gemini-3.1-flash-lite | btob | CNY / 1M tokens | 1.825 | 10.95 | 0.1825 | - |