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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 | 用于chatgpt | CNY / 1M tokens | 0.876 | 0.876 | - | - |
| 2 | gpt-4o-audio-preview | 用于chatgpt | CNY / 1M tokens | 2.19 | 8.76 | - | - |
| 3 | gpt-4o-realtime-preview | 用于chatgpt | CNY / 1M tokens | 4.38 | 17.52 | 2.19 | - |
| 4 | gpt-5.2 | 用于chatgpt | CNY / 1M tokens | 1.533 | 12.264 | 0.1533 | - |
| 5 | gpt-5.2-2025-12-11 | 用于chatgpt | CNY / 1M tokens | 65.7 | 394.2 | - | - |
| 6 | gpt-5.2-chat-latest | 用于chatgpt | CNY / 1M tokens | 1.533 | 12.264 | 0.1533 | - |
| 7 | gpt-5.2-pro | 用于chatgpt | CNY / 1M tokens | 18.396 | 147.168 | - | - |
| 8 | gpt-5.2-pro-2025-12-11 | 用于chatgpt | CNY / 1M tokens | 65.7 | 394.2 | - | - |
| 9 | gpt-5.3-codex | 用于deepseek大模型 | CNY / 1M tokens | 1.2775 | 10.22 | 0.1277 | - |
| 10 | gpt-5.3-codex-spark | 用于chatgpt | CNY / 1M tokens | 1.533 | 12.264 | 0.1533 | - |
| 11 | gpt-5.4 | 用于chatgpt | CNY / 1M tokens | 2.19 | 13.14 | 0.219 | - |
| 12 | gpt-5.4 | 用于deepseek大模型 | CNY / 1M tokens | 1.825 | 10.95 | 0.1825 | - |
| 13 | gpt-5.4-2026-03-05 | 用于chatgpt | CNY / 1M tokens | 65.7 | 394.2 | - | - |
| 14 | gpt-5.4-mini | 用于chatgpt | CNY / 1M tokens | 0.657 | 3.942 | 0.0657 | - |
| 15 | gpt-5.4-mini | 用于deepseek大模型 | CNY / 1M tokens | 0.5475 | 3.285 | 0.0548 | - |
| 16 | gpt-5.5 | 用于chatgpt | CNY / 1M tokens | 4.38 | 26.28 | 0.438 | - |
| 17 | gpt-5.5 | 用于deepseek大模型 | CNY / 1M tokens | 3.65 | 21.9 | 0.365 | - |
| 18 | gpt-5.6 | 用于chatgpt | CNY / 1M tokens | 3.504 | 17.52 | 0.3504 | 4.38 |
| 19 | gpt-5.6-luna | 用于chatgpt | CNY / 1M tokens | 0.1752 | 1.0512 | 0.0175 | 0.219 |
| 20 | gpt-5.6-luna | 用于deepseek大模型 | CNY / 1M tokens | 0.146 | 0.876 | 0.0146 | 0.1825 |
| 21 | gpt-5.6-sol | 用于chatgpt | CNY / 1M tokens | 3.504 | 17.52 | 0.3504 | 4.38 |
| 22 | gpt-5.6-sol | 用于deepseek大模型 | CNY / 1M tokens | 2.92 | 14.6 | 0.292 | 3.65 |
| 23 | gpt-5.6-terra | 用于chatgpt | CNY / 1M tokens | 1.752 | 10.512 | 0.1752 | 2.19 |
| 24 | gpt-5.6-terra | 用于deepseek大模型 | CNY / 1M tokens | 1.46 | 8.76 | 0.146 | 1.825 |
| 25 | gpt-6 | 用于chatgpt | CNY / 1M tokens | 65.7 | 131.4 | - | - |
| 26 | gpt-6.1-sol | 用于chatgpt | CNY / 1M tokens | 1.752 | 8.76 | 0.0876 | 2.19 |
| 27 | gpt-6.1-sol | 用于deepseek大模型 | CNY / 1M tokens | 1.46 | 7.3 | 0.073 | 1.825 |
| 28 | gpt-6-astra | 用于chatgpt | CNY / 1M tokens | 8.76 | 43.8 | 0.876 | 10.95 |
| 29 | gpt-6-astra | 用于deepseek大模型 | CNY / 1M tokens | 7.3 | 36.5 | 0.73 | 9.125 |
| 30 | gpt-6-luna | 用于chatgpt | CNY / 1M tokens | 0.0876 | 0.438 | 0.0088 | 0.1095 |
| 31 | gpt-6-luna | 用于deepseek大模型 | CNY / 1M tokens | 0.073 | 0.365 | 0.0073 | 0.0913 |
| 32 | gpt-6-sol | 用于chatgpt | CNY / 1M tokens | 1.752 | 8.76 | 0.1752 | 2.19 |
| 33 | gpt-6-sol | 用于deepseek大模型 | CNY / 1M tokens | 1.46 | 7.3 | 0.146 | 1.825 |
| 34 | gpt-image-1 | 生成图片 | CNY / 1M tokens | 1.825 | 14.6 | 0.4563 | - |
| 35 | gpt-image-1 | 用于chatgpt | CNY / 1M tokens | 4.38 | 35.04 | 1.095 | - |
| 36 | gpt-image-1.5 | 生成图片 | CNY / 1M tokens | 1.825 | 11.68 | 0.4563 | - |
| 37 | gpt-image-1.5 | 用于chatgpt | CNY / 1M tokens | 4.38 | 28.032 | 1.095 | - |
| 38 | gpt-image-2 | 生成图片 | CNY / 1M tokens | 1.825 | 10.95 | 0.4563 | - |
| 39 | gpt-image-2 | 用于chatgpt | CNY / 1M tokens | 4.38 | 26.28 | 1.095 | - |
| 40 | gpt-image-2.5-flare | 用于chatgpt | CNY / 1M tokens | 4.38 | 26.28 | 1.095 | - |
| 41 | gpt-image-2.5-sunburst | 用于chatgpt | CNY / 1M tokens | 4.38 | 26.28 | 1.095 | - |
| 42 | gpt-oss-120b | 用于chatgpt | CNY / 1M tokens | 0.028 | 0.1226 | 0.028 | - |
| 43 | claude-fable-5 | 用于deepseek大模型 | CNY / 1M tokens | 7.3 | 36.5 | 0.73 | 9.125 |
| 44 | claude-fable-5-1 | 用于deepseek大模型 | CNY / 1M tokens | 7.3 | 36.5 | 0.1825 | 9.125 |
| 45 | claude-haiku-4-5-20251001 | 用于deepseek大模型 | CNY / 1M tokens | 0.73 | 3.65 | 0.073 | 0.9125 |
| 46 | claude-haiku-5-5 | 用于deepseek大模型 | CNY / 1M tokens | 0.073 | 0.365 | 0.0073 | 0.0913 |
| 47 | claude-opus-4-7 | 用于deepseek大模型 | CNY / 1M tokens | 3.65 | 18.25 | 0.365 | 4.5625 |
| 48 | claude-opus-4-8 | 用于deepseek大模型 | CNY / 1M tokens | 3.65 | 18.25 | 0.365 | 4.5625 |
| 49 | claude-opus-5 | 用于deepseek大模型 | CNY / 1M tokens | 3.65 | 18.25 | 0.365 | 4.5625 |
| 50 | claude-opus-5-5 | 用于deepseek大模型 | CNY / 1M tokens | 2.92 | 14.6 | 0.146 | 3.65 |
| 51 | claude-sonnet-4-6 | 用于deepseek大模型 | CNY / 1M tokens | 2.19 | 10.95 | 0.219 | 2.7375 |
| 52 | claude-sonnet-5 | 用于deepseek大模型 | CNY / 1M tokens | 1.46 | 7.3 | 0.146 | 1.825 |
| 53 | claude-sonnet-5-5 | 用于deepseek大模型 | CNY / 1M tokens | 1.46 | 7.3 | 0.073 | 1.825 |
| 54 | gemini-2.5-flash | 用于antigravity | CNY / 1M tokens | 2.19 | 18.25 | 0.219 | - |
| 55 | gemini-2.5-pro | 用于antigravity | CNY / 1M tokens | 9.125 | 73 | 0.9125 | - |
| 56 | gemma-4-31B-it | 用于chatgpt | CNY / 1M tokens | 0.1577 | 0.438 | 0.0315 | - |
| 57 | google/gemini-3.1-flash-lite | 用于deepseek大模型 | CNY / 1M tokens | 0.0913 | 0.5475 | 0.0091 | - |
| 58 | google/gemini-3.5-flash | 用于deepseek大模型 | CNY / 1M tokens | 0.5475 | 3.285 | 0.0548 | - |
| 59 | google/gemini-3.5-flash-lite | 用于deepseek大模型 | CNY / 1M tokens | 0.1095 | 0.9125 | 0.011 | - |
| 60 | google/gemini-3.6-flash | 用于deepseek大模型 | CNY / 1M tokens | 0.2738 | 1.3688 | 0.0274 | - |
| 61 | google/gemini-3.7-flash | 用于deepseek大模型 | CNY / 1M tokens | 0.5475 | 2.7375 | 0.0548 | - |
| 62 | google/gemini-3.8-flash | 用于deepseek大模型 | CNY / 1M tokens | 0.5475 | 2.7375 | 0.0548 | - |
| 63 | google/gemini-4-argon | 用于deepseek大模型 | CNY / 1M tokens | 1.46 | 7.3 | 0.073 | - |
| 64 | Qwen/Qwen3.6-Max-Preview | 用于deepseek大模型 | CNY / 1M tokens | 54.75 | 54.75 | - | - |
| 65 | Qwen/Qwen3.6-Plus | 用于deepseek大模型 | CNY / 1M tokens | 0.365 | 2.19 | - | - |
| 66 | Qwen/Qwen3.7-Flash | 用于deepseek大模型 | CNY / 1M tokens | 54.75 | 54.75 | - | - |
| 67 | Qwen/Qwen3.7-Max | 用于deepseek大模型 | CNY / 1M tokens | 1.825 | 5.475 | 0.365 | - |
| 68 | Qwen/Qwen3.7-Plus | 用于deepseek大模型 | CNY / 1M tokens | 54.75 | 54.75 | - | - |
| 69 | Qwen/Qwen3.8-27B | 用于deepseek大模型 | CNY / 1M tokens | 0.0292 | 0.9855 | 0.0131 | - |
| 70 | Qwen/Qwen3.8-Flash | 用于deepseek大模型 | CNY / 1M tokens | 0.0825 | 0.2789 | 0.0103 | - |
| 71 | Qwen/Qwen3.8-Max | 用于deepseek大模型 | CNY / 1M tokens | 1.2045 | 3.6142 | 0.1504 | - |
| 72 | Qwen/Qwen3.8-Max-0902 | 用于deepseek大模型 | CNY / 1M tokens | 1.46 | 4.38 | 0.1825 | - |
| 73 | Qwen/Qwen3.8-Max-Prime | 用于deepseek大模型 | CNY / 1M tokens | 54.75 | 54.75 | - | - |
| 74 | Qwen/Qwen3.8-Omni-Flash | 用于deepseek大模型 | CNY / 1M tokens | 0.1095 | 0.3431 | 0.0117 | - |
| 75 | grok-4.20-0309-non-reasoning | 用于chatgpt | CNY / 1M tokens | 1.095 | 2.19 | 0.1752 | - |
| 76 | grok-4.20-0309-non-reasoning | 用于grok4.6 | CNY / 1M tokens | 9.125 | 18.25 | 1.46 | - |
| 77 | grok-4.20-0309-reasoning | 用于chatgpt | CNY / 1M tokens | 1.095 | 2.19 | 0.1752 | - |
| 78 | grok-4.20-0309-reasoning | 用于grok4.6 | CNY / 1M tokens | 9.125 | 18.25 | 1.46 | - |
| 79 | grok-4.20-multi-agent | 用于chatgpt | CNY / 1M tokens | 65.7 | 65.7 | - | - |
| 80 | grok-4.20-multi-agent | 用于grok4.6 | CNY / 1M tokens | 547.5 | 547.5 | - | - |
| 81 | grok-4.20-multi-agent-0309 | 用于chatgpt | CNY / 1M tokens | 1.095 | 2.19 | 0.1752 | - |
| 82 | grok-4.20-multi-agent-0309 | 用于grok4.6 | CNY / 1M tokens | 9.125 | 18.25 | 1.46 | - |
| 83 | grok-4.20-multi-agent-latest | 用于chatgpt | CNY / 1M tokens | 65.7 | 65.7 | - | - |
| 84 | grok-4.20-multi-agent-latest | 用于grok4.6 | CNY / 1M tokens | 547.5 | 547.5 | - | - |
| 85 | grok-4.20-non-reasoning | 用于chatgpt | CNY / 1M tokens | 65.7 | 65.7 | - | - |
| 86 | grok-4.20-non-reasoning | 用于grok4.6 | CNY / 1M tokens | 547.5 | 547.5 | - | - |
| 87 | grok-4.20-reasoning | 用于chatgpt | CNY / 1M tokens | 65.7 | 65.7 | - | - |
| 88 | grok-4.20-reasoning | 用于grok4.6 | CNY / 1M tokens | 547.5 | 547.5 | - | - |
| 89 | grok-4.3 | 用于chatgpt | CNY / 1M tokens | 1.095 | 2.19 | 0.1752 | - |
| 90 | grok-4.3 | 用于grok4.6 | CNY / 1M tokens | 9.125 | 18.25 | 1.46 | - |
| 91 | grok-4.3-latest | 用于chatgpt | CNY / 1M tokens | 65.7 | 65.7 | - | - |
| 92 | grok-4.3-latest | 用于grok4.6 | CNY / 1M tokens | 547.5 | 547.5 | - | - |
| 93 | grok-4.5 | 用于chatgpt | CNY / 1M tokens | 1.752 | 5.256 | 0.2628 | - |
| 94 | grok-4.5 | 用于grok4.6 | CNY / 1M tokens | 14.6 | 43.8 | 2.19 | - |
| 95 | grok-4.5-latest | 用于chatgpt | CNY / 1M tokens | 65.7 | 65.7 | - | - |
| 96 | grok-4.5-latest | 用于grok4.6 | CNY / 1M tokens | 547.5 | 547.5 | - | - |
| 97 | grok-4.6 | 用于chatgpt | CNY / 1M tokens | 1.752 | 5.256 | 0.438 | - |
| 98 | grok-4.6 | 用于grok4.6 | CNY / 1M tokens | 14.6 | 43.8 | 3.65 | - |
| 99 | grok-build-0.1 | 用于chatgpt | CNY / 1M tokens | 0.876 | 1.752 | 0.1752 | - |
| 100 | grok-build-0.1 | 用于grok4.6 | CNY / 1M tokens | 7.3 | 14.6 | 1.46 | - |