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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 | gpt-5.5 | OpenAI | CNY / 1M tokens | 34 | 204 | 3.4 | - |
| 2 | gpt-5.6-luna | OpenAI | CNY / 1M tokens | 1.36 | 8.16 | 0.136 | 1.7 |
| 3 | gpt-5.6-sol | OpenAI | CNY / 1M tokens | 27.2 | 136 | 2.72 | 34 |
| 4 | gpt-5.6-terra | OpenAI | CNY / 1M tokens | 13.6 | 81.6 | 1.36 | 17 |
| 5 | gpt-6-astra | OpenAI | CNY / 1M tokens | 68 | 340 | 6.8 | 85 |
| 6 | gpt-6-luna | OpenAI | CNY / 1M tokens | 0.68 | 3.4 | 0.068 | 0.85 |
| 7 | gpt-6-sol | OpenAI | CNY / 1M tokens | 13.6 | 68 | 1.36 | 17 |
| 8 | gpt-image-2 | OpenAI | CNY / 1M tokens | 34 | 204 | 8.5 | - |
| 9 | claude-fable-5 | Anthropic | CNY / 1M tokens | 68 | 340 | 6.8 | 85 |
| 10 | claude-fable-5-1 | Anthropic | CNY / 1M tokens | 68 | 340 | 1.7 | 85 |
| 11 | claude-haiku-4-5-20251001 | Anthropic | CNY / 1M tokens | 6.8 | 34 | 0.68 | 8.5 |
| 12 | claude-haiku-4-5-20251001 | Kiro | CNY / 1M tokens | 6.8 | 34 | 0.68 | 8.5 |
| 13 | claude-opus-4-6 | Anthropic | CNY / 1M tokens | 34 | 170 | 3.4 | 42.5 |
| 14 | claude-opus-4-6 | Kiro | CNY / 1M tokens | 34 | 170 | 3.4 | 42.5 |
| 15 | claude-opus-4-7 | Anthropic | CNY / 1M tokens | 34 | 170 | 3.4 | 42.5 |
| 16 | claude-opus-4-7 | Kiro | CNY / 1M tokens | 34 | 170 | 3.4 | 42.5 |
| 17 | claude-opus-4-8 | Anthropic | CNY / 1M tokens | 34 | 170 | 3.4 | 42.5 |
| 18 | claude-opus-5 | Anthropic | CNY / 1M tokens | 34 | 170 | 3.4 | 42.5 |
| 19 | claude-opus-5-5 | Anthropic | CNY / 1M tokens | 27.2 | 136 | 1.36 | 34 |
| 20 | claude-sonnet-4-6 | Kiro | CNY / 1M tokens | 20.4 | 102 | 2.04 | 25.5 |
| 21 | claude-sonnet-5 | Anthropic | CNY / 1M tokens | 13.6 | 68 | 1.36 | 17 |
| 22 | gemini-3.1-pro | Gemini | CNY / 1M tokens | 13.6 | 81.6 | - | - |
| 23 | gemini-3.8-flash | Gemini | CNY / 1M tokens | 5.1 | 25.5 | 0.51 | - |
| 24 | qwen3.5-122b-a10b | ModelScope | CNY / 1M tokens | 2.72 | 21.76 | - | - |
| 25 | qwen3.5-27b | ModelScope | CNY / 1M tokens | 2.04 | 16.32 | - | - |
| 26 | qwen3.5-35b-a3b | ModelScope | CNY / 1M tokens | 1.7 | 13.6 | - | - |
| 27 | qwen3.5-397b-a17b | ModelScope | CNY / 1M tokens | 4.08 | 24.48 | - | - |
| 28 | qwen3.8-27b | Groq | CNY / 1M tokens | 510 | 510 | - | - |
| 29 | qwen3.8-flash | AMD Cloud | CNY / 1M tokens | 1.02 | 3.196 | 0.1088 | 1.36 |
| 30 | qwen3.8-max | Alibaba | CNY / 1M tokens | 13.6 | 40.8 | 1.7 | 17 |
| 31 | grok-4.7 | xAI | CNY / 1M tokens | 13.6 | 40.8 | 3.4 | - |
| 32 | agnes-3.0-flash | Agnes | CNY / 1M tokens | 510 | 510 | - | - |
| 33 | aion-3.0 | Aion Labs | CNY / 1M tokens | 510 | 510 | - | - |
| 34 | aion-3.0-mini | Aion Labs | CNY / 1M tokens | 510 | 510 | - | - |
| 35 | deepseek-r1-distill-qwen-32b | Cloudflare | CNY / 1M tokens | 3.3796 | 33.1908 | - | - |
| 36 | deepseek-v4.1-flash | AMD Cloud | CNY / 1M tokens | 2.04 | 8.16 | 0.0408 | - |
| 37 | deepseek-v4.1-flash | CodeBuddy | CNY / 1M tokens | 2.04 | 8.16 | 0.0408 | - |
| 38 | deepseek-v4-flash | AMD Cloud | CNY / 1M tokens | 2.04 | 8.16 | 0.0408 | - |
| 39 | deepseek-v4-flash | Cline | CNY / 1M tokens | 2.04 | 8.16 | 0.0408 | - |
| 40 | deepseek-v4-flash | DeepSeek | CNY / 1M tokens | 2.04 | 8.16 | 0.0408 | - |
| 41 | deepseek-v4-flash | Kilo | CNY / 1M tokens | 2.04 | 8.16 | 0.0408 | - |
| 42 | deepseek-v4-flash | ModelScope | CNY / 1M tokens | 2.04 | 8.16 | 0.0408 | - |
| 43 | deepseek-v4-pro | CodeBuddy | CNY / 1M tokens | 8.976 | 26.928 | 0.2992 | - |
| 44 | deepseek-v4-pro | DeepSeek | CNY / 1M tokens | 8.976 | 26.928 | 0.2992 | - |
| 45 | glm-5 | Kiro | CNY / 1M tokens | 6.8 | 21.76 | 1.36 | - |
| 46 | glm-5.2 | Cline | CNY / 1M tokens | 9.52 | 29.92 | 1.768 | - |
| 47 | glm-5.3 | CodeBuddy | CNY / 1M tokens | 9.52 | 29.92 | 1.768 | - |
| 48 | glm-5.3 | NVIDIA NIM | CNY / 1M tokens | 9.52 | 29.92 | 1.768 | - |
| 49 | glm-5.3 | Zhipu | CNY / 1M tokens | 9.52 | 29.92 | 1.768 | - |
| 50 | glm-5.3-flash | AMD Cloud | CNY / 1M tokens | 1.02 | 3.4 | 0.204 | - |
| 51 | glm-5.3-flash | Cline | CNY / 1M tokens | 1.02 | 3.4 | 0.204 | - |
| 52 | glm-5.3-flash | CodeBuddy | CNY / 1M tokens | 1.02 | 3.4 | 0.204 | - |
| 53 | glm-5.3-flash | NVIDIA NIM | CNY / 1M tokens | 1.02 | 3.4 | 0.204 | - |
| 54 | glm-5.3-flash | Zhipu | CNY / 1M tokens | 1.02 | 3.4 | 0.204 | - |
| 55 | glm-5.3-flashx | Zhipu | CNY / 1M tokens | 2.516 | 8.5 | 0.51 | - |
| 56 | jev-1.13 | OpenCode | CNY / 1M tokens | 510 | 510 | - | - |
| 57 | kimi-k3 | CodeBuddy | CNY / 1M tokens | 20.4 | 102 | 2.04 | - |
| 58 | kimi-k3 | Moonshot | CNY / 1M tokens | 20.4 | 102 | 2.04 | - |
| 59 | kimi-k3 | NVIDIA NIM | CNY / 1M tokens | 20.4 | 102 | 2.04 | - |
| 60 | llama-3.3-70b-instruct-fp8-fast | Cloudflare | CNY / 1M tokens | 1.9924 | 15.3204 | - | - |
| 61 | mimo-v2.6-flash | AMD Cloud | CNY / 1M tokens | 0.952 | 1.904 | 0.019 | - |
| 62 | mimo-v2.6-flash | OpenCode | CNY / 1M tokens | 0.952 | 1.904 | 0.019 | - |
| 63 | minimax-m3 | Cline | CNY / 1M tokens | 2.04 | 8.16 | 0.204 | - |
| 64 | minimax-m3 | CodeBuddy | CNY / 1M tokens | 2.04 | 8.16 | 0.204 | - |
| 65 | minimax-m3 | MiniMax | CNY / 1M tokens | 2.04 | 8.16 | 0.204 | - |
| 66 | muse-spark-1.2 | OpenCode | CNY / 1M tokens | 8.5 | 28.9 | 1.02 | - |
| 67 | muse-spark-1.3 | OpenCode | CNY / 1M tokens | 8.5 | 28.9 | 1.02 | - |
| 68 | space-bunny | OpenCode | CNY / 1M tokens | 510 | 510 | - | - |
| 69 | step-3.7-flash | ModelScope | CNY / 1M tokens | 1.258 | 7.548 | 0.2516 | - |