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No. | Model | Group | Unit | Input price | Output price | Cache read price | Cache write price |
|---|---|---|---|---|---|---|---|
| 1 | codex-auto-review | 主站专用 | CNY / 1M tokens | 150 | 150 | - | - |
| 2 | codex-auto-review | 稳定不降智渠道 | CNY / 1M tokens | 75 | 75 | - | - |
| 3 | codex-auto-review | codex渠道，plus+pro混合池；GPT模型，最顶级缓存 | CNY / 1M tokens | 22.5 | 22.5 | - | - |
| 4 | codex-auto-review | gpt-还行 | CNY / 1M tokens | 75 | 75 | - | - |
| 5 | codex-auto-review | luna专用 | CNY / 1M tokens | 750 | 750 | - | - |
| 6 | gpt-5 | 勿选 | CNY / 1M tokens | 1.25 | 10 | - | - |
| 7 | gpt-5.1 | 勿选 | CNY / 1M tokens | 1.25 | 10 | - | - |
| 8 | gpt-5.1-codex | 勿选 | CNY / 1M tokens | 1.25 | 10 | - | - |
| 9 | gpt-5.1-codex-max | 勿选 | CNY / 1M tokens | 1.25 | 10 | - | - |
| 10 | gpt-5.1-codex-mini | 勿选 | CNY / 1M tokens | 1.25 | 10 | - | - |
| 11 | gpt-5.2 | 勿选 | CNY / 1M tokens | 1.6 | 4.8 | - | - |
| 12 | gpt-5.2-codex | 勿选 | CNY / 1M tokens | 1.75 | 14 | - | - |
| 13 | gpt-5.3-codex | 勿选 | CNY / 1M tokens | 1.75 | 5.25 | - | - |
| 14 | gpt-5.4 | 勿选 | CNY / 1M tokens | 75 | 450 | - | - |
| 15 | gpt-5.4-mini | 勿选 | CNY / 1M tokens | 0.75 | 4.5 | - | - |
| 16 | gpt-5.5 | 勿选 | CNY / 1M tokens | 75 | 450 | - | - |
| 17 | gpt-5.6-luna | luna专用 | CNY / 1M tokens | 750 | 4,500 | - | - |
| 18 | gpt-5.6-sol | 主站专用 | CNY / 1M tokens | 150 | 900 | - | - |
| 19 | gpt-5.6-sol | 稳定不降智渠道 | CNY / 1M tokens | 75 | 450 | - | - |
| 20 | gpt-5.6-sol | codex渠道，plus+pro混合池；GPT模型，最顶级缓存 | CNY / 1M tokens | 22.5 | 135 | - | - |
| 21 | gpt-5.6-sol | gpt-还行 | CNY / 1M tokens | 75 | 450 | - | - |
| 22 | gpt-5.6-terra | 主站专用 | CNY / 1M tokens | 150 | 900 | - | - |
| 23 | gpt-5.6-terra | 稳定不降智渠道 | CNY / 1M tokens | 75 | 450 | - | - |
| 24 | gpt-5.6-terra | codex渠道，plus+pro混合池；GPT模型，最顶级缓存 | CNY / 1M tokens | 22.5 | 135 | - | - |
| 25 | gpt-5.6-terra | gpt-还行 | CNY / 1M tokens | 75 | 450 | - | - |
| 26 | gpt-6.1-sol | 主站专用 | CNY / 1M tokens | 150 | 300 | - | - |
| 27 | gpt-6.1-sol | 稳定不降智渠道 | CNY / 1M tokens | 75 | 150 | - | - |
| 28 | gpt-6.1-sol | codex渠道，plus+pro混合池；GPT模型，最顶级缓存 | CNY / 1M tokens | 22.5 | 45 | - | - |
| 29 | gpt-6.1-sol | gpt-还行 | CNY / 1M tokens | 75 | 150 | - | - |
| 30 | gpt-6.1-sol | luna专用 | CNY / 1M tokens | 750 | 1,500 | - | - |
| 31 | gpt-6-astra | 主站专用 | CNY / 1M tokens | 150 | 300 | - | - |
| 32 | gpt-6-astra | 稳定不降智渠道 | CNY / 1M tokens | 75 | 150 | - | - |
| 33 | gpt-6-astra | codex渠道，plus+pro混合池；GPT模型，最顶级缓存 | CNY / 1M tokens | 22.5 | 45 | - | - |
| 34 | gpt-6-luna | luna专用 | CNY / 1M tokens | 750 | 1,500 | - | - |
| 35 | gpt-6-sol | 主站专用 | CNY / 1M tokens | 150 | 300 | - | - |
| 36 | gpt-6-sol | 稳定不降智渠道 | CNY / 1M tokens | 75 | 150 | - | - |
| 37 | gpt-6-sol | codex渠道，plus+pro混合池；GPT模型，最顶级缓存 | CNY / 1M tokens | 22.5 | 45 | - | - |
| 38 | gpt-6-sol | gpt-还行 | CNY / 1M tokens | 75 | 150 | - | - |
| 39 | gpt-image-2 | 勿选 | CNY / call | 2.1 | - | - | - |
| 40 | gpt-image-2 | 勿选 | CNY / call | 0.3 | - | - | - |
| 41 | gpt-image-2 | gpt-image-2模型 | CNY / call | 0.3 | - | - | - |
| 42 | gpt-image-2.5 | 勿选 | CNY / call | 0.7 | - | - | - |
| 43 | gpt-image-2.5 | gpt-image-2模型 | CNY / call | 0.1 | - | - | - |
| 44 | claude-fable-5 | ccmax-inner | CNY / 1M tokens | 13 | 65 | - | - |
| 45 | claude-fable-5 | cc特别分组 | CNY / 1M tokens | 10 | 50 | - | - |
| 46 | claude-fable-5 | max-codez | CNY / 1M tokens | 20 | 100 | - | - |
| 47 | claude-fable-5 | max-sh | CNY / 1M tokens | 15 | 75 | - | - |
| 48 | claude-fable-5-1 | ccmax-inner | CNY / 1M tokens | 13 | 65 | - | - |
| 49 | claude-fable-5-1 | cc特别分组 | CNY / 1M tokens | 10 | 50 | - | - |
| 50 | claude-fable-5-1 | max-codez | CNY / 1M tokens | 20 | 100 | - | - |
| 51 | claude-fable-5-1 | max-sh | CNY / 1M tokens | 15 | 75 | - | - |
| 52 | claude-haiku-4-5-20251001 | kiro渠道，CLAUDE模型，90%缓存 | CNY / 1M tokens | 0.5 | 2.5 | - | - |
| 53 | claude-haiku-4-5-20251001 | ccmax-inner | CNY / 1M tokens | 1.3 | 6.5 | - | - |
| 54 | claude-haiku-4-5-20251001 | cc特别分组 | CNY / 1M tokens | 1 | 5 | - | - |
| 55 | claude-haiku-4-5-20251001 | 勿选 | CNY / 1M tokens | 7 | 35 | - | - |
| 56 | claude-haiku-4-5-20251001 | 勿选 | CNY / 1M tokens | 1 | 5 | - | - |
| 57 | claude-haiku-4-5-20251001 | max-codez | CNY / 1M tokens | 2 | 10 | - | - |
| 58 | claude-haiku-4-5-20251001 | max-sh | CNY / 1M tokens | 1.5 | 7.5 | - | - |
| 59 | claude-haiku-5-5 | ccmax-inner | CNY / 1M tokens | 97.5 | 97.5 | - | - |
| 60 | claude-haiku-5-5 | cc特别分组 | CNY / 1M tokens | 75 | 75 | - | - |
| 61 | claude-haiku-5-5 | max-codez | CNY / 1M tokens | 150 | 150 | - | - |
| 62 | claude-haiku-5-5 | max-sh | CNY / 1M tokens | 112.5 | 112.5 | - | - |
| 63 | claude-opus-4-1-20250805 | kiro渠道，CLAUDE模型，90%缓存 | CNY / 1M tokens | 37.5 | 187.5 | - | - |
| 64 | claude-opus-4-1-20250805 | 勿选 | CNY / 1M tokens | 525 | 2,625 | - | - |
| 65 | claude-opus-4-20250514 | kiro渠道，CLAUDE模型，90%缓存 | CNY / 1M tokens | 37.5 | 187.5 | - | - |
| 66 | claude-opus-4-20250514 | 勿选 | CNY / 1M tokens | 525 | 2,625 | - | - |
| 67 | claude-opus-4-5-20251101 | kiro渠道，CLAUDE模型，90%缓存 | CNY / 1M tokens | 2.5 | 12.5 | - | - |
| 68 | claude-opus-4-5-20251101 | ccmax-inner | CNY / 1M tokens | 6.5 | 32.5 | - | - |
| 69 | claude-opus-4-5-20251101 | cc特别分组 | CNY / 1M tokens | 5 | 25 | - | - |
| 70 | claude-opus-4-5-20251101 | 勿选 | CNY / 1M tokens | 35 | 175 | - | - |
| 71 | claude-opus-4-5-20251101 | 勿选 | CNY / 1M tokens | 5 | 25 | - | - |
| 72 | claude-opus-4-5-20251101 | max-codez | CNY / 1M tokens | 10 | 50 | - | - |
| 73 | claude-opus-4-5-20251101 | max-sh | CNY / 1M tokens | 7.5 | 37.5 | - | - |
| 74 | claude-opus-4-5-20251101-thinking | kiro渠道，CLAUDE模型，90%缓存 | CNY / 1M tokens | 2.5 | 12.5 | - | - |
| 75 | claude-opus-4-5-20251101-thinking | 勿选 | CNY / 1M tokens | 35 | 175 | - | - |
| 76 | claude-opus-4-6 | kiro渠道，CLAUDE模型，90%缓存 | CNY / 1M tokens | 2.5 | 12.5 | - | - |
| 77 | claude-opus-4-6 | ccmax-inner | CNY / 1M tokens | 6.5 | 32.5 | - | - |
| 78 | claude-opus-4-6 | cc特别分组 | CNY / 1M tokens | 5 | 25 | - | - |
| 79 | claude-opus-4-6 | 勿选 | CNY / 1M tokens | 35 | 175 | - | - |
| 80 | claude-opus-4-6 | 勿选 | CNY / 1M tokens | 5 | 25 | - | - |
| 81 | claude-opus-4-6 | max-codez | CNY / 1M tokens | 10 | 50 | - | - |
| 82 | claude-opus-4-6 | max-sh | CNY / 1M tokens | 7.5 | 37.5 | - | - |
| 83 | claude-opus-4-7 | kiro渠道，CLAUDE模型，90%缓存 | CNY / 1M tokens | 2.5 | 12.5 | - | - |
| 84 | claude-opus-4-7 | ccmax-inner | CNY / 1M tokens | 6.5 | 32.5 | - | - |
| 85 | claude-opus-4-7 | cc特别分组 | CNY / 1M tokens | 5 | 25 | - | - |
| 86 | claude-opus-4-7 | 勿选 | CNY / 1M tokens | 35 | 175 | - | - |
| 87 | claude-opus-4-7 | 勿选 | CNY / 1M tokens | 5 | 25 | - | - |
| 88 | claude-opus-4-7 | max-codez | CNY / 1M tokens | 10 | 50 | - | - |
| 89 | claude-opus-4-7 | max-sh | CNY / 1M tokens | 7.5 | 37.5 | - | - |
| 90 | claude-opus-4-8 | kiro渠道，CLAUDE模型，90%缓存 | CNY / 1M tokens | 2.5 | 12.5 | - | - |
| 91 | claude-opus-4-8 | ccmax-inner | CNY / 1M tokens | 6.5 | 32.5 | - | - |
| 92 | claude-opus-4-8 | cc特别分组 | CNY / 1M tokens | 5 | 25 | - | - |
| 93 | claude-opus-4-8 | 勿选 | CNY / 1M tokens | 35 | 175 | - | - |
| 94 | claude-opus-4-8 | max-codez | CNY / 1M tokens | 10 | 50 | - | - |
| 95 | claude-opus-4-8 | max-sh | CNY / 1M tokens | 7.5 | 37.5 | - | - |
| 96 | claude-opus-5 | kiro渠道，CLAUDE模型，90%缓存 | CNY / 1M tokens | 2.5 | 12.5 | - | - |
| 97 | claude-opus-5 | ccmax-inner | CNY / 1M tokens | 6.5 | 32.5 | - | - |
| 98 | claude-opus-5 | cc特别分组 | CNY / 1M tokens | 5 | 25 | - | - |
| 99 | claude-opus-5 | 勿选 | CNY / 1M tokens | 35 | 175 | - | - |
| 100 | claude-opus-5 | max-codez | CNY / 1M tokens | 10 | 50 | - | - |