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灵立普API（企业版）
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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-3.5-turbo | GPT-官转 | CNY / 1M tokens | 1.5 | 4.5 | - | - |
| 2 | gpt-3.5-turbo | GPT-直连 | CNY / 1M tokens | 2.25 | 6.75 | - | - |
| 3 | gpt-4.1 | GPT-官转 | CNY / 1M tokens | 6 | 24 | - | - |
| 4 | gpt-4.1 | GPT-直连 | CNY / 1M tokens | 9 | 36 | - | - |
| 5 | gpt-4.1-mini | GPT-官转 | CNY / 1M tokens | 1.2 | 4.8 | - | - |
| 6 | gpt-4.1-mini | GPT-直连 | CNY / 1M tokens | 1.8 | 7.2 | - | - |
| 7 | gpt-4o | GPT-官转 | CNY / 1M tokens | 7.5 | 30 | - | - |
| 8 | gpt-4o | GPT-直连 | CNY / 1M tokens | 11.25 | 45 | - | - |
| 9 | gpt-4o-mini | GPT-官转 | CNY / 1M tokens | 0.45 | 1.8 | - | - |
| 10 | gpt-4o-mini | GPT-直连 | CNY / 1M tokens | 0.675 | 2.7 | - | - |
| 11 | gpt-4o-transcribe | GPT-正价 | CNY / 1M tokens | 15 | 60 | - | - |
| 12 | gpt-5 | GPT-官转 | CNY / 1M tokens | 3.75 | 30 | - | - |
| 13 | gpt-5 | GPT-直连 | CNY / 1M tokens | 5.625 | 45 | - | - |
| 14 | gpt-5 | 备用 | CNY / 1M tokens | 3.75 | 30 | - | - |
| 15 | gpt-5.1 | GPT-官转 | CNY / 1M tokens | 3.75 | 30 | - | - |
| 16 | gpt-5.1 | GPT-直连 | CNY / 1M tokens | 5.625 | 45 | - | - |
| 17 | gpt-5.1-chat | GPT-官转 | CNY / 1M tokens | 3.75 | 30 | - | - |
| 18 | gpt-5.1-chat | GPT-直连 | CNY / 1M tokens | 5.625 | 45 | - | - |
| 19 | gpt-5.1-codex | GPT-直连 | CNY / 1M tokens | 5.625 | 45 | - | - |
| 20 | gpt-5.1-codex-max | codex | CNY / 1M tokens | 1.25 | 10 | - | - |
| 21 | gpt-5.1-codex-max | GPT-直连 | CNY / 1M tokens | 5.625 | 45 | - | - |
| 22 | gpt-5.2 | GPT-官转 | CNY / 1M tokens | 5.25 | 42 | - | - |
| 23 | gpt-5.2 | GPT-直连 | CNY / 1M tokens | 7.875 | 63 | - | - |
| 24 | gpt-5.2 | 备用 | CNY / 1M tokens | 5.25 | 42 | - | - |
| 25 | gpt-5.2-chat | GPT-官转 | CNY / 1M tokens | 5.25 | 42 | - | - |
| 26 | gpt-5.2-chat | GPT-直连 | CNY / 1M tokens | 7.875 | 63 | - | - |
| 27 | gpt-5.4 | GPT-官转 | CNY / 1M tokens | 7.5 | 60 | - | - |
| 28 | gpt-5.4-xhigh | GPT-官转 | CNY / 1M tokens | 22.5 | 180 | - | - |
| 29 | gpt-5.5 | GPT-官转 | CNY / 1M tokens | 15 | 120 | - | - |
| 30 | gpt-5.5 | GPT-正价 | CNY / 1M tokens | 30 | 240 | - | - |
| 31 | gpt-5.6-luna | GPT-正价 | CNY / 1M tokens | 6 | 48 | - | - |
| 32 | gpt-5.6-sol | GPT-正价 | CNY / 1M tokens | 30 | 240 | - | - |
| 33 | gpt-5.6-terra | GPT-正价 | CNY / 1M tokens | 15 | 120 | - | - |
| 34 | gpt-5-chat | GPT-官转 | CNY / 1M tokens | 3.75 | 30 | - | - |
| 35 | gpt-5-chat | GPT-直连 | CNY / 1M tokens | 5.625 | 45 | - | - |
| 36 | gpt-5-codex | GPT-直连 | CNY / 1M tokens | 5.625 | 45 | - | - |
| 37 | gpt-5-mini | GPT-官转 | CNY / 1M tokens | 0.75 | 6 | - | - |
| 38 | gpt-5-mini | GPT-直连 | CNY / 1M tokens | 1.125 | 9 | - | - |
| 39 | gpt-5-pro | GPT-直连 | CNY / 1M tokens | 67.5 | 540 | - | - |
| 40 | o3 | GPT-官转 | CNY / 1M tokens | 6 | 24 | - | - |
| 41 | o3 | GPT-直连 | CNY / 1M tokens | 9 | 36 | - | - |
| 42 | o3-pro | GPT-直连 | CNY / 1M tokens | 90 | 360 | - | - |
| 43 | o4-mini | GPT-官转 | CNY / 1M tokens | 3.3 | 13.2 | - | - |
| 44 | o4-mini | GPT-直连 | CNY / 1M tokens | 4.95 | 19.8 | - | - |
| 45 | text-embedding-3-large | GPT-直连 | CNY / 1M tokens | 0.585 | 0.585 | - | - |
| 46 | claude-haiku-4-5-20251001 | Claude-AWS | CNY / 1M tokens | 3.5 | 17.5 | - | - |
| 47 | claude-haiku-4-5-20251001-thinking | Claude-AWS | CNY / 1M tokens | 3.5 | 17.5 | - | - |
| 48 | claude-opus-4-5-20251101 | Claude-AWS | CNY / 1M tokens | 17.5 | 87.5 | - | - |
| 49 | claude-opus-4-5-20251101-thinking | Claude-AWS | CNY / 1M tokens | 17.5 | 87.5 | - | - |
| 50 | claude-opus-4-6 | Claude-AWS | CNY / 1M tokens | 28 | 140 | - | - |
| 51 | claude-opus-4-6-thinking | Claude-AWS | CNY / 1M tokens | 17.5 | 87.5 | - | - |
| 52 | claude-opus-4-7 | Claude-AWS | CNY / 1M tokens | 17.5 | 87.5 | - | - |
| 53 | claude-opus-4-8 | Claude-AWS | CNY / 1M tokens | 17.5 | 87.5 | - | - |
| 54 | claude-sonnet-4-5-20250929 | Claude-AWS | CNY / 1M tokens | 10.5 | 52.5 | - | - |
| 55 | claude-sonnet-4-5-20250929-thinking | Claude-AWS | CNY / 1M tokens | 10.5 | 52.5 | - | - |
| 56 | claude-sonnet-4-6 | Claude-AWS | CNY / 1M tokens | 7 | 35 | - | - |
| 57 | claude-sonnet-4-6-thinking | Claude-AWS | CNY / 1M tokens | 10.5 | 52.5 | - | - |
| 58 | claude-sonnet-5 | Claude-AWS | CNY / 1M tokens | 7 | 35 | - | - |
| 59 | gemini-2.0-flash | Gemini-正价 | CNY / 1M tokens | 0.4 | 1.6 | - | - |
| 60 | gemini-2.0-flash | Gemini-直连 | CNY / 1M tokens | 0.3 | 1.2 | - | - |
| 61 | gemini-2.0-flash | 备用 | CNY / 1M tokens | 0.3 | 1.2 | - | - |
| 62 | gemini-2.5-flash | Gemini-正价 | CNY / 1M tokens | 1.2 | 10 | - | - |
| 63 | gemini-2.5-flash | Gemini-直连 | CNY / 1M tokens | 0.9 | 7.5 | - | - |
| 64 | gemini-2.5-flash | 备用 | CNY / 1M tokens | 0.9 | 7.5 | - | - |
| 65 | gemini-2.5-pro | Gemini-正价 | CNY / 1M tokens | 5 | 40 | - | - |
| 66 | gemini-2.5-pro | Gemini-直连 | CNY / 1M tokens | 3.75 | 30 | - | - |
| 67 | gemini-2.5-pro | 备用 | CNY / 1M tokens | 3.75 | 30 | - | - |
| 68 | gemini-3.1-flash-image-preview | Gemini-直连 | CNY / 次 | 0.6 | - | - | - |
| 69 | gemini-3.1-flash-image-preview | 备用 | CNY / 次 | 0.6 | - | - | - |
| 70 | gemini-3.1-flash-lite | Gemini-直连 | CNY / 1M tokens | 0.75 | 4.5 | - | - |
| 71 | gemini-3.1-flash-lite-preview | 备用 | CNY / 1M tokens | 225 | 900 | - | - |
| 72 | gemini-3.1-pro-preview | Gemini-直连 | CNY / 1M tokens | 18 | 108 | - | - |
| 73 | gemini-3.1-pro-preview | 备用 | CNY / 1M tokens | 18 | 108 | - | - |
| 74 | gemini-3-flash-preview | Gemini-正价 | CNY / 1M tokens | 2 | 12 | - | - |
| 75 | gemini-3-flash-preview | Gemini-直连 | CNY / 1M tokens | 1.5 | 9 | - | - |
| 76 | gemini-3-flash-preview | 备用 | CNY / 1M tokens | 1.5 | 9 | - | - |
| 77 | gemini-3-pro-image-preview | Gemini-正价 | CNY / 次 | 1.2 | - | - | - |
| 78 | gemini-3-pro-image-preview | Gemini-直连 | CNY / 次 | 0.9 | - | - | - |
| 79 | gemini-3-pro-preview | Gemini-正价 | CNY / 1M tokens | 8 | 48 | - | - |
| 80 | gemini-3-pro-preview | Gemini-直连 | CNY / 1M tokens | 6 | 36 | - | - |
| 81 | gemini-3-pro-preview | 备用 | CNY / 1M tokens | 6 | 36 | - | - |
| 82 | Qwen2.5-VL-72B-Instruct | 国内模型 | CNY / 次 | 1 | - | - | - |
| 83 | Qwen2.5-VL-7B-Instruct | 国内模型 | CNY / 次 | 1 | - | - | - |
| 84 | Qwen3-235B-A22B | 国内模型 | CNY / 次 | 1 | - | - | - |
| 85 | Qwen3-235B-A22B-Instruct-2507 | 国内模型 | CNY / 次 | 1 | - | - | - |
| 86 | Qwen3-235B-A22B-Thinking-2507 | 国内模型 | CNY / 次 | 1 | - | - | - |
| 87 | Qwen3-30B-A3B | 国内模型 | CNY / 1M tokens | 0.75 | 3 | - | - |
| 88 | Qwen3-32B | 国内模型 | CNY / 1M tokens | 1 | 4 | - | - |
| 89 | Qwen3.5-397B-A17B | 国内模型 | CNY / 1M tokens | 1.2 | 7.2 | - | - |
| 90 | Qwen3.5-Plus | 国内模型 | CNY / 1M tokens | 0.16 | 4.8 | - | - |
| 91 | Qwen3.6-Plus | 国内模型 | CNY / 1M tokens | 0.4 | 12 | - | - |
| 92 | Qwen3.7-Max | 国内模型 | CNY / 1M tokens | 2.4 | 36 | - | - |
| 93 | Qwen3-Max | 国内模型 | CNY / 1M tokens | 3.2 | 12.8 | - | - |
| 94 | Qwen3-Max-Preview | 国内模型 | CNY / 1M tokens | 3.2 | 12.8 | - | - |
| 95 | Qwen3-Next-80B-A3B-Instruct | 国内模型 | CNY / 次 | 1 | - | - | - |
| 96 | Qwen3-Next-80B-A3B-Thinking | 国内模型 | CNY / 次 | 1 | - | - | - |
| 97 | Qwen-Max-2025-01-25 | 国内模型 | CNY / 次 | 1 | - | - | - |
| 98 | Qwen-Turbo | 国内模型 | CNY / 次 | 1 | - | - | - |
| 99 | Qwen-VL-Max-2025-01-25 | 国内模型 | CNY / 次 | 1 | - | - | - |
| 100 | DeepSeek-R1 | 国内模型 | CNY / 1M tokens | 4 | 16 | - | - |