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Computinger
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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 | Codex | CNY / 1M tokens | 73 | 438 | 7.3 | 91.25 |
| 2 | codex-auto-review | Standard | CNY / 1M tokens | 36.5 | 219 | 3.65 | 45.625 |
| 3 | codex-auto-review | friend | CNY / 1M tokens | 36.5 | 219 | 3.65 | 45.625 |
| 4 | codex-auto-review | cluademax+gptpro | CNY / 1M tokens | 36.5 | 219 | 3.65 | 45.625 |
| 5 | codex-auto-review | svip | CNY / 1M tokens | 36.5 | 219 | 3.65 | 45.625 |
| 6 | gpt-5.5 | Codex | CNY / 1M tokens | 73 | 438 | 7.3 | - |
| 7 | gpt-5.5 | Standard | CNY / 1M tokens | 36.5 | 219 | 3.65 | - |
| 8 | gpt-5.5 | friend | CNY / 1M tokens | 36.5 | 219 | 3.65 | - |
| 9 | gpt-5.5 | cluademax+gptpro | CNY / 1M tokens | 36.5 | 219 | 3.65 | - |
| 10 | gpt-5.5 | svip | CNY / 1M tokens | 36.5 | 219 | 3.65 | - |
| 11 | gpt-5.5-xhigh | Codex | CNY / 1M tokens | 73 | 438 | 7.3 | - |
| 12 | gpt-5.5-xhigh | Standard | CNY / 1M tokens | 36.5 | 219 | 3.65 | - |
| 13 | gpt-5.5-xhigh | friend | CNY / 1M tokens | 36.5 | 219 | 3.65 | - |
| 14 | gpt-5.5-xhigh | cluademax+gptpro | CNY / 1M tokens | 36.5 | 219 | 3.65 | - |
| 15 | gpt-5.5-xhigh | svip | CNY / 1M tokens | 36.5 | 219 | 3.65 | - |
| 16 | gpt-5.6-luna | Codex | CNY / 1M tokens | 1.46 | 8.76 | 0.146 | 1.825 |
| 17 | gpt-5.6-luna | Standard | CNY / 1M tokens | 0.73 | 4.38 | 0.073 | 0.9125 |
| 18 | gpt-5.6-luna | friend | CNY / 1M tokens | 0.73 | 4.38 | 0.073 | 0.9125 |
| 19 | gpt-5.6-luna | cluademax+gptpro | CNY / 1M tokens | 0.73 | 4.38 | 0.073 | 0.9125 |
| 20 | gpt-5.6-luna | svip | CNY / 1M tokens | 0.73 | 4.38 | 0.073 | 0.9125 |
| 21 | gpt-5.6-luna-max | Codex | CNY / 1M tokens | 1.46 | 8.76 | 0.146 | 1.825 |
| 22 | gpt-5.6-luna-max | Standard | CNY / 1M tokens | 0.73 | 4.38 | 0.073 | 0.9125 |
| 23 | gpt-5.6-luna-max | friend | CNY / 1M tokens | 0.73 | 4.38 | 0.073 | 0.9125 |
| 24 | gpt-5.6-luna-max | cluademax+gptpro | CNY / 1M tokens | 0.73 | 4.38 | 0.073 | 0.9125 |
| 25 | gpt-5.6-luna-max | svip | CNY / 1M tokens | 0.73 | 4.38 | 0.073 | 0.9125 |
| 26 | gpt-5.6-sol | Codex | CNY / 1M tokens | 73 | 438 | 7.3 | 91.25 |
| 27 | gpt-5.6-sol | Standard | CNY / 1M tokens | 36.5 | 219 | 3.65 | 45.625 |
| 28 | gpt-5.6-sol | friend | CNY / 1M tokens | 36.5 | 219 | 3.65 | 45.625 |
| 29 | gpt-5.6-sol | cluademax+gptpro | CNY / 1M tokens | 36.5 | 219 | 3.65 | 45.625 |
| 30 | gpt-5.6-sol | svip | CNY / 1M tokens | 36.5 | 219 | 3.65 | 45.625 |
| 31 | gpt-5.6-sol-max | Codex | CNY / 1M tokens | 73 | 438 | 7.3 | 91.25 |
| 32 | gpt-5.6-sol-max | Standard | CNY / 1M tokens | 36.5 | 219 | 3.65 | 45.625 |
| 33 | gpt-5.6-sol-max | friend | CNY / 1M tokens | 36.5 | 219 | 3.65 | 45.625 |
| 34 | gpt-5.6-sol-max | cluademax+gptpro | CNY / 1M tokens | 36.5 | 219 | 3.65 | 45.625 |
| 35 | gpt-5.6-sol-max | svip | CNY / 1M tokens | 36.5 | 219 | 3.65 | 45.625 |
| 36 | gpt-5.6-terra | Codex | CNY / 1M tokens | 14.6 | 87.6 | 1.46 | 18.25 |
| 37 | gpt-5.6-terra | Standard | CNY / 1M tokens | 7.3 | 43.8 | 0.73 | 9.125 |
| 38 | gpt-5.6-terra | friend | CNY / 1M tokens | 7.3 | 43.8 | 0.73 | 9.125 |
| 39 | gpt-5.6-terra | cluademax+gptpro | CNY / 1M tokens | 7.3 | 43.8 | 0.73 | 9.125 |
| 40 | gpt-5.6-terra | svip | CNY / 1M tokens | 7.3 | 43.8 | 0.73 | 9.125 |
| 41 | gpt-5.6-terra-max | Codex | CNY / 1M tokens | 14.6 | 87.6 | 1.46 | 18.25 |
| 42 | gpt-5.6-terra-max | Standard | CNY / 1M tokens | 7.3 | 43.8 | 0.73 | 9.125 |
| 43 | gpt-5.6-terra-max | friend | CNY / 1M tokens | 7.3 | 43.8 | 0.73 | 9.125 |
| 44 | gpt-5.6-terra-max | cluademax+gptpro | CNY / 1M tokens | 7.3 | 43.8 | 0.73 | 9.125 |
| 45 | gpt-5.6-terra-max | svip | CNY / 1M tokens | 7.3 | 43.8 | 0.73 | 9.125 |
| 46 | gpt-6-astra | Codex | CNY / 1M tokens | 146 | 730 | 14.6 | 182.5 |
| 47 | gpt-6-astra | Standard | CNY / 1M tokens | 73 | 365 | 7.3 | 91.25 |
| 48 | gpt-6-astra | friend | CNY / 1M tokens | 73 | 365 | 7.3 | 91.25 |
| 49 | gpt-6-astra | cluademax+gptpro | CNY / 1M tokens | 73 | 365 | 7.3 | 91.25 |
| 50 | gpt-6-astra | svip | CNY / 1M tokens | 73 | 365 | 7.3 | 91.25 |
| 51 | gpt-6-luna | Codex | CNY / 1M tokens | 1.46 | 7.3 | 0.146 | 1.825 |
| 52 | gpt-6-luna | Standard | CNY / 1M tokens | 0.73 | 3.65 | 0.073 | 0.9125 |
| 53 | gpt-6-luna | friend | CNY / 1M tokens | 0.73 | 3.65 | 0.073 | 0.9125 |
| 54 | gpt-6-luna | cluademax+gptpro | CNY / 1M tokens | 0.73 | 3.65 | 0.073 | 0.9125 |
| 55 | gpt-6-luna | svip | CNY / 1M tokens | 0.73 | 3.65 | 0.073 | 0.9125 |
| 56 | gpt-6-sol | Codex | CNY / 1M tokens | 29.2 | 146 | 2.92 | 36.5 |
| 57 | gpt-6-sol | Standard | CNY / 1M tokens | 14.6 | 73 | 1.46 | 18.25 |
| 58 | gpt-6-sol | friend | CNY / 1M tokens | 14.6 | 73 | 1.46 | 18.25 |
| 59 | gpt-6-sol | cluademax+gptpro | CNY / 1M tokens | 14.6 | 73 | 1.46 | 18.25 |
| 60 | gpt-6-sol | svip | CNY / 1M tokens | 14.6 | 73 | 1.46 | 18.25 |
| 61 | gpt-image-1.5 | Codex | CNY / 1M tokens | 1,095 | 2,190 | - | - |
| 62 | gpt-image-1.5 | Standard | CNY / 1M tokens | 547.5 | 1,095 | - | - |
| 63 | gpt-image-1.5 | friend | CNY / 1M tokens | 547.5 | 1,095 | - | - |
| 64 | gpt-image-1.5 | cluademax+gptpro | CNY / 1M tokens | 547.5 | 1,095 | - | - |
| 65 | gpt-image-1.5 | svip | CNY / 1M tokens | 547.5 | 1,095 | - | - |