Model pricing
Browse available models and actual deduction prices by public group. Public group multipliers are already applied; 1 yuan tops up 1 balance.
Pricing list
Choose a provider and public group to compare actual balance prices by model.
Group details：Claude · 性价比-Claude · 0.8x
| 模型 | Input | Output | Cache write | Cache read | Savings |
|---|---|---|---|---|---|
| claude-fable-5 | 8 / 1M tokens 67.757 / 1M tokens | 40 / 1M tokens 338.785 / 1M tokens | 10 / 1M tokens 84.6963 / 1M tokens | 0.8 / 1M tokens 6.7757 / 1M tokens |
Save 88% |
| claude-fable-5-1 | 8 / 1M tokens 67.757 / 1M tokens | 40 / 1M tokens 338.785 / 1M tokens | 10 / 1M tokens 84.6963 / 1M tokens | 0.2 / 1M tokens 1.69392 / 1M tokens |
Save 88% |
| claude-opus-5 | 4 / 1M tokens 33.8785 / 1M tokens | 20 / 1M tokens 169.393 / 1M tokens | 5 / 1M tokens 42.3481 / 1M tokens | 0.4 / 1M tokens 3.38785 / 1M tokens |
Save 88% |
| claude-opus-4-8 | 4 / 1M tokens 33.8785 / 1M tokens | 20 / 1M tokens 169.393 / 1M tokens | 5 / 1M tokens 42.3481 / 1M tokens | 0.4 / 1M tokens 3.38785 / 1M tokens |
Save 88% |
| claude-opus-4-7 | 4 / 1M tokens 33.8785 / 1M tokens | 20 / 1M tokens 169.393 / 1M tokens | 5 / 1M tokens 42.3481 / 1M tokens | 0.4 / 1M tokens 3.38785 / 1M tokens |
Save 88% |
| claude-opus-4-6 | 4 / 1M tokens 33.8785 / 1M tokens | 20 / 1M tokens 169.393 / 1M tokens | 5 / 1M tokens 42.3481 / 1M tokens | 0.4 / 1M tokens 3.38785 / 1M tokens |
Save 88% |
| claude-sonnet-5 | 1.6 / 1M tokens 13.5514 / 1M tokens | 8 / 1M tokens 67.757 / 1M tokens | 2 / 1M tokens 16.9393 / 1M tokens | 0.16 / 1M tokens 1.35514 / 1M tokens |
Save 88% |
| claude-sonnet-4-6 | 2.4 / 1M tokens 20.3271 / 1M tokens | 12 / 1M tokens 101.635 / 1M tokens | 3 / 1M tokens 25.4089 / 1M tokens | 0.24 / 1M tokens 2.03271 / 1M tokens |
Save 88% |
| claude-haiku-4-5 | 0.8 / 1M tokens 6.7757 / 1M tokens | 4 / 1M tokens 33.8785 / 1M tokens | 1 / 1M tokens 8.46963 / 1M tokens | 0.08 / 1M tokens 0.67757 / 1M tokens |
Save 88% |
| gpt-5.3-codex-spark | 1.4 / 1M tokens 11.8575 / 1M tokens | 11.2 / 1M tokens 94.8598 / 1M tokens | — | 0.14 / 1M tokens 1.18575 / 1M tokens |
Save 88% |
| gpt-5.2-pro | 16.8 / 1M tokens 142.29 / 1M tokens | 134.4 / 1M tokens 1138.32 / 1M tokens | — | — |
Save 88% |
| gpt-claude-opus-4-8 | 4 / 1M tokens 33.8785 / 1M tokens | 20 / 1M tokens 169.393 / 1M tokens | 5 / 1M tokens 42.3481 / 1M tokens | 0.4 / 1M tokens 3.38785 / 1M tokens |
Save 88% |
| gpt-daybreak-blue-latest | 2 / 1M tokens 16.9393 / 1M tokens | 12 / 1M tokens 101.635 / 1M tokens | — | 0.2 / 1M tokens 1.69392 / 1M tokens |
Save 88% |
| gpt-image-2 | 4 / 1M tokens 33.8785 / 1M tokens | 8 / 1M tokens 67.757 / 1M tokens | — | 1 / 1M tokens 8.46963 / 1M tokens |
Save 88% |
| gpt-image-2-1.5k | 4 / 1M tokens 33.8785 / 1M tokens | 8 / 1M tokens 67.757 / 1M tokens | — | 1 / 1M tokens 8.46963 / 1M tokens |
Save 88% |
| gpt-image-2-2k | 4 / 1M tokens 33.8785 / 1M tokens | 8 / 1M tokens 67.757 / 1M tokens | — | 1 / 1M tokens 8.46963 / 1M tokens |
Save 88% |
| gpt-image-2-4k | 4 / 1M tokens 33.8785 / 1M tokens | 8 / 1M tokens 67.757 / 1M tokens | — | 1 / 1M tokens 8.46963 / 1M tokens |
Save 88% |
| codex-auto-review | 0.16 / 1M tokens 1.35514 / 1M tokens | 0.96 / 1M tokens 8.13084 / 1M tokens | 0.2 / 1M tokens 1.69392 / 1M tokens | 0.016 / 1M tokens 0.135514 / 1M tokens |
Save 88% |
| gemini-3.1-pro | 1.6 / 1M tokens 13.5514 / 1M tokens | 9.6 / 1M tokens 81.3084 / 1M tokens | 1.6 / 1M tokens 13.5514 / 1M tokens | 0.16 / 1M tokens 1.35514 / 1M tokens |
Save 88% |
| gemini-2.5-pro | 1 / 1M tokens 8.46963 / 1M tokens | 8 / 1M tokens 67.757 / 1M tokens | 1 / 1M tokens 8.46963 / 1M tokens | 0.1 / 1M tokens 0.846962 / 1M tokens |
Save 88% |
| gemini-3.5-flash | 1.2 / 1M tokens 10.1636 / 1M tokens | 7.2 / 1M tokens 60.9813 / 1M tokens | — | 0.12 / 1M tokens 1.01635 / 1M tokens |
Save 88% |
| gemini-3-flash | 0.4 / 1M tokens 3.38785 / 1M tokens | 2.4 / 1M tokens 20.3271 / 1M tokens | — | 0.04 / 1M tokens 0.338785 / 1M tokens |
Save 88% |
| gemini-2.5-flash | 0.24 / 1M tokens 2.03271 / 1M tokens | 2 / 1M tokens 16.9393 / 1M tokens | — | 0.024 / 1M tokens 0.203271 / 1M tokens |
Save 88% |
| composer-2.5 | 0.8 / 1M tokens 6.7757 / 1M tokens | 1.6 / 1M tokens 13.5514 / 1M tokens | — | 0.16 / 1M tokens 1.35514 / 1M tokens |
Save 88% |
| grok-composer-2.5-fast | 0.8 / 1M tokens 6.7757 / 1M tokens | 1.6 / 1M tokens 13.5514 / 1M tokens | — | 0.16 / 1M tokens 1.35514 / 1M tokens |
Save 88% |
| grok | 1.6 / 1M tokens 13.5514 / 1M tokens | 4.8 / 1M tokens 40.6542 / 1M tokens | — | 0.4 / 1M tokens 3.38785 / 1M tokens |
Save 88% |
| grok-4.5 | 1.6 / 1M tokens 13.5514 / 1M tokens | 4.8 / 1M tokens 40.6542 / 1M tokens | — | 0.24 / 1M tokens 2.03271 / 1M tokens |
Save 88% |
| grok-4.6 | 1.6 / 1M tokens 13.5514 / 1M tokens | 4.8 / 1M tokens 40.6542 / 1M tokens | — | 0.4 / 1M tokens 3.38785 / 1M tokens |
Save 88% |
| glm-5.2 | 1.12 / 1M tokens 9.48598 / 1M tokens | 3.52 / 1M tokens 29.8131 / 1M tokens | — | 0.208 / 1M tokens 1.76168 / 1M tokens |
Save 88% |
| deepseek-v4-flash | 0.352 / 1M tokens 2.98131 / 1M tokens | 1.056 / 1M tokens 8.94392 / 1M tokens | — | 0.0112 / 1M tokens 0.09486 / 1M tokens |
Save 88% |
| deepseek-v4-pro | 1.056 / 1M tokens 8.94392 / 1M tokens | 3.168 / 1M tokens 26.8318 / 1M tokens | — | 0.0352 / 1M tokens 0.298131 / 1M tokens |
Save 88% |
| 模型 | Image output |
|---|---|
| gpt-image-2 | 24 / 1M tokens 203.271 / 1M tokens |
| gpt-image-2-1.5k | 24 / 1M tokens 203.271 / 1M tokens |
| gpt-image-2-2k | 24 / 1M tokens 203.271 / 1M tokens |
| gpt-image-2-4k | 24 / 1M tokens 203.271 / 1M tokens |
| 模型 | 1K | 2K | 4K |
|---|---|---|---|
| gpt-image-2 | 0.1072 per image 0.907944 per image | 0.1608 per image 1.36192 per image | 0.2144 per image 1.81589 per image |
| gpt-image-2-1.5k | 0.1072 per image 0.907944 per image | 0.1608 per image 1.36192 per image | 0.2144 per image 1.81589 per image |
| gpt-image-2-2k | 0.1072 per image 0.907944 per image | 0.1608 per image 1.36192 per image | 0.2144 per image 1.81589 per image |
| gpt-image-2-4k | 0.1072 per image 0.907944 per image | 0.1608 per image 1.36192 per image | 0.2144 per image 1.81589 per image |
| grok-imagine-image | 0.016 per image 0.135514 per image | 0.016 per image 0.135514 per image | 0.016 per image 0.135514 per image |
| grok-imagine-image-quality | 0.04 per image 0.338785 per image | 0.056 per image 0.474299 per image | 0.056 per image 0.474299 per image |
| 模型 | 480p | 720p | 1080p |
|---|---|---|---|
| grok-imagine-video-1.5（按次） | 0.064 per second of video 0.542056 per second of video | 0.112 per second of video 0.948598 per second of video | 0.2 per second of video 1.69392 per second of video |
Group details：Claude · 高可用-Claude · 2x
| 模型 | Input | Output | Cache write | Cache read | Savings |
|---|---|---|---|---|---|
| claude-opus-5 | 10 / 1M tokens 33.8785 / 1M tokens | 50 / 1M tokens 169.393 / 1M tokens | 12.5 / 1M tokens 42.3481 / 1M tokens | 1 / 1M tokens 3.38785 / 1M tokens |
Save 70% |
| claude-opus-4-8 | 10 / 1M tokens 33.8785 / 1M tokens | 50 / 1M tokens 169.393 / 1M tokens | 12.5 / 1M tokens 42.3481 / 1M tokens | 1 / 1M tokens 3.38785 / 1M tokens |
Save 70% |
| claude-opus-4-7 | 10 / 1M tokens 33.8785 / 1M tokens | 50 / 1M tokens 169.393 / 1M tokens | 12.5 / 1M tokens 42.3481 / 1M tokens | 1 / 1M tokens 3.38785 / 1M tokens |
Save 70% |
| claude-opus-4-6 | 10 / 1M tokens 33.8785 / 1M tokens | 50 / 1M tokens 169.393 / 1M tokens | 12.5 / 1M tokens 42.3481 / 1M tokens | 1 / 1M tokens 3.38785 / 1M tokens |
Save 70% |
| claude-sonnet-5 | 4 / 1M tokens 13.5514 / 1M tokens | 20 / 1M tokens 67.757 / 1M tokens | 5 / 1M tokens 16.9393 / 1M tokens | 0.4 / 1M tokens 1.35514 / 1M tokens |
Save 70% |
| claude-sonnet-4-6 | 6 / 1M tokens 20.3271 / 1M tokens | 30 / 1M tokens 101.635 / 1M tokens | 7.5 / 1M tokens 25.4089 / 1M tokens | 0.6 / 1M tokens 2.03271 / 1M tokens |
Save 70% |
| claude-haiku-4-5 | 2 / 1M tokens 6.7757 / 1M tokens | 10 / 1M tokens 33.8785 / 1M tokens | 2.5 / 1M tokens 8.46963 / 1M tokens | 0.2 / 1M tokens 0.67757 / 1M tokens |
Save 70% |
Group details：Claude · Fable-5-Max · 4.667x
| 模型 | Input | Output | Cache write | Cache read | Savings |
|---|---|---|---|---|---|
| claude-fable-5 | 46.67 / 1M tokens 67.757 / 1M tokens | 233.35 / 1M tokens 338.785 / 1M tokens | 58.3375 / 1M tokens 84.6963 / 1M tokens | 4.667 / 1M tokens 6.7757 / 1M tokens |
Save 31% |
| claude-fable-5-1 | 46.67 / 1M tokens 67.757 / 1M tokens | 233.35 / 1M tokens 338.785 / 1M tokens | 58.3375 / 1M tokens 84.6963 / 1M tokens | 1.16675 / 1M tokens 1.69392 / 1M tokens |
Save 31% |
| claude-opus-5 | 23.335 / 1M tokens 33.8785 / 1M tokens | 116.675 / 1M tokens 169.393 / 1M tokens | 29.1687 / 1M tokens 42.3481 / 1M tokens | 2.3335 / 1M tokens 3.38785 / 1M tokens |
Save 31% |
| claude-opus-4-8 | 23.335 / 1M tokens 33.8785 / 1M tokens | 116.675 / 1M tokens 169.393 / 1M tokens | 29.1687 / 1M tokens 42.3481 / 1M tokens | 2.3335 / 1M tokens 3.38785 / 1M tokens |
Save 31% |
| claude-opus-4-7 | 23.335 / 1M tokens 33.8785 / 1M tokens | 116.675 / 1M tokens 169.393 / 1M tokens | 29.1687 / 1M tokens 42.3481 / 1M tokens | 2.3335 / 1M tokens 3.38785 / 1M tokens |
Save 31% |
| claude-opus-4-6 | 23.335 / 1M tokens 33.8785 / 1M tokens | 116.675 / 1M tokens 169.393 / 1M tokens | 29.1687 / 1M tokens 42.3481 / 1M tokens | 2.3335 / 1M tokens 3.38785 / 1M tokens |
Save 31% |
| claude-sonnet-5 | 9.334 / 1M tokens 13.5514 / 1M tokens | 46.67 / 1M tokens 67.757 / 1M tokens | 11.6675 / 1M tokens 16.9393 / 1M tokens | 0.9334 / 1M tokens 1.35514 / 1M tokens |
Save 31% |
| claude-sonnet-4-6 | 14.001 / 1M tokens 20.3271 / 1M tokens | 70.005 / 1M tokens 101.635 / 1M tokens | 17.5012 / 1M tokens 25.4089 / 1M tokens | 1.4001 / 1M tokens 2.03271 / 1M tokens |
Save 31% |
| claude-haiku-4-5 | 4.667 / 1M tokens 6.7757 / 1M tokens | 23.335 / 1M tokens 33.8785 / 1M tokens | 5.83375 / 1M tokens 8.46963 / 1M tokens | 0.4667 / 1M tokens 0.67757 / 1M tokens |
Save 31% |
Group details：ChatGPT · 性价比-GPT · 0.667x
| 模型 | Input | Output | Cache write | Cache read | Savings |
|---|---|---|---|---|---|
| gpt-5.6 | 3.335 / 1M tokens 33.8785 / 1M tokens | 20.01 / 1M tokens 203.271 / 1M tokens | 4.16875 / 1M tokens 42.3481 / 1M tokens | 0.3335 / 1M tokens 3.38785 / 1M tokens |
Save 90% |
| gpt-5.6-luna | 0.1334 / 1M tokens 1.35514 / 1M tokens | 0.8004 / 1M tokens 8.13084 / 1M tokens | 0.16675 / 1M tokens 1.69392 / 1M tokens | 0.01334 / 1M tokens 0.135514 / 1M tokens |
Save 90% |
| gpt-5.6-sol | 3.335 / 1M tokens 33.8785 / 1M tokens | 20.01 / 1M tokens 203.271 / 1M tokens | 4.16875 / 1M tokens 42.3481 / 1M tokens | 0.3335 / 1M tokens 3.38785 / 1M tokens |
Save 90% |
| gpt-5.6-terra | 1.334 / 1M tokens 13.5514 / 1M tokens | 8.004 / 1M tokens 81.3084 / 1M tokens | 1.6675 / 1M tokens 16.9393 / 1M tokens | 0.1334 / 1M tokens 1.35514 / 1M tokens |
Save 90% |
| gpt-5.5 | 3.335 / 1M tokens 33.8785 / 1M tokens | 20.01 / 1M tokens 203.271 / 1M tokens | — | 0.3335 / 1M tokens 3.38785 / 1M tokens |
Save 90% |
| gpt-5.5-openai-compact | 3.335 / 1M tokens 33.8785 / 1M tokens | 20.01 / 1M tokens 203.271 / 1M tokens | — | 0.3335 / 1M tokens 3.38785 / 1M tokens |
Save 90% |
| gpt-5.4 | 1.6675 / 1M tokens 16.9393 / 1M tokens | 10.005 / 1M tokens 101.635 / 1M tokens | — | 0.16675 / 1M tokens 1.69392 / 1M tokens |
Save 90% |
| gpt-5.4-openai-compact | 1.6675 / 1M tokens 16.9393 / 1M tokens | 10.005 / 1M tokens 101.635 / 1M tokens | — | 0.16675 / 1M tokens 1.69392 / 1M tokens |
Save 90% |
| gpt-5.4-mini | 0.50025 / 1M tokens 5.08178 / 1M tokens | 3.0015 / 1M tokens 30.4906 / 1M tokens | — | 0.050025 / 1M tokens 0.508177 / 1M tokens |
Save 90% |
| gpt-5.3-codex-spark | 1.16725 / 1M tokens 11.8575 / 1M tokens | 9.338 / 1M tokens 94.8598 / 1M tokens | — | 0.116725 / 1M tokens 1.18575 / 1M tokens |
Save 90% |
| gpt-5.2-pro | 14.007 / 1M tokens 142.29 / 1M tokens | 112.056 / 1M tokens 1138.32 / 1M tokens | — | — |
Save 90% |
| gpt-daybreak-blue-latest | 1.6675 / 1M tokens 16.9393 / 1M tokens | 10.005 / 1M tokens 101.635 / 1M tokens | — | 0.16675 / 1M tokens 1.69392 / 1M tokens |
Save 90% |
| gpt-image-2 | 3.335 / 1M tokens 33.8785 / 1M tokens | 6.67 / 1M tokens 67.757 / 1M tokens | — | 0.83375 / 1M tokens 8.46963 / 1M tokens |
Save 90% |
| gpt-image-2-1.5k | 3.335 / 1M tokens 33.8785 / 1M tokens | 6.67 / 1M tokens 67.757 / 1M tokens | — | 0.83375 / 1M tokens 8.46963 / 1M tokens |
Save 90% |
| gpt-image-2-2k | 3.335 / 1M tokens 33.8785 / 1M tokens | 6.67 / 1M tokens 67.757 / 1M tokens | — | 0.83375 / 1M tokens 8.46963 / 1M tokens |
Save 90% |
| gpt-image-2-4k | 3.335 / 1M tokens 33.8785 / 1M tokens | 6.67 / 1M tokens 67.757 / 1M tokens | — | 0.83375 / 1M tokens 8.46963 / 1M tokens |
Save 90% |
| codex-auto-review | 0.1334 / 1M tokens 1.35514 / 1M tokens | 0.8004 / 1M tokens 8.13084 / 1M tokens | 0.16675 / 1M tokens 1.69392 / 1M tokens | 0.01334 / 1M tokens 0.135514 / 1M tokens |
Save 90% |
| composer-2.5 | 0.667 / 1M tokens 6.7757 / 1M tokens | 1.334 / 1M tokens 13.5514 / 1M tokens | — | 0.1334 / 1M tokens 1.35514 / 1M tokens |
Save 90% |
| grok-composer-2.5-fast | 0.667 / 1M tokens 6.7757 / 1M tokens | 1.334 / 1M tokens 13.5514 / 1M tokens | — | 0.1334 / 1M tokens 1.35514 / 1M tokens |
Save 90% |
| grok | 1.334 / 1M tokens 13.5514 / 1M tokens | 4.002 / 1M tokens 40.6542 / 1M tokens | — | 0.3335 / 1M tokens 3.38785 / 1M tokens |
Save 90% |
| grok-4.5 | 1.334 / 1M tokens 13.5514 / 1M tokens | 4.002 / 1M tokens 40.6542 / 1M tokens | — | 0.2001 / 1M tokens 2.03271 / 1M tokens |
Save 90% |
| grok-4.6 | 1.334 / 1M tokens 13.5514 / 1M tokens | 4.002 / 1M tokens 40.6542 / 1M tokens | — | 0.3335 / 1M tokens 3.38785 / 1M tokens |
Save 90% |
| 模型 | Image output |
|---|---|
| gpt-image-2 | 20.01 / 1M tokens 203.271 / 1M tokens |
| gpt-image-2-1.5k | 20.01 / 1M tokens 203.271 / 1M tokens |
| gpt-image-2-2k | 20.01 / 1M tokens 203.271 / 1M tokens |
| gpt-image-2-4k | 20.01 / 1M tokens 203.271 / 1M tokens |
| 模型 | 1K | 2K | 4K |
|---|---|---|---|
| gpt-image-2 | 0.089378 per image 0.907944 per image | 0.134067 per image 1.36192 per image | 0.178756 per image 1.81589 per image |
| gpt-image-2-1.5k | 0.089378 per image 0.907944 per image | 0.134067 per image 1.36192 per image | 0.178756 per image 1.81589 per image |
| gpt-image-2-2k | 0.089378 per image 0.907944 per image | 0.134067 per image 1.36192 per image | 0.178756 per image 1.81589 per image |
| gpt-image-2-4k | 0.089378 per image 0.907944 per image | 0.134067 per image 1.36192 per image | 0.178756 per image 1.81589 per image |
Additional operation pricing
Web search 0.00667 balance / call
Group details：ChatGPT · 高可用-GPT · 1.667x
| 模型 | Input | Output | Cache write | Cache read | Savings |
|---|---|---|---|---|---|
| gpt-5.6-luna | 0.3334 / 1M tokens 1.35514 / 1M tokens | 2.0004 / 1M tokens 8.13084 / 1M tokens | 0.41675 / 1M tokens 1.69392 / 1M tokens | 0.03334 / 1M tokens 0.135514 / 1M tokens |
Save 75% |
| gpt-5.6-sol | 8.335 / 1M tokens 33.8785 / 1M tokens | 50.01 / 1M tokens 203.271 / 1M tokens | 10.4187 / 1M tokens 42.3481 / 1M tokens | 0.8335 / 1M tokens 3.38785 / 1M tokens |
Save 75% |
| gpt-5.6-terra | 3.334 / 1M tokens 13.5514 / 1M tokens | 20.004 / 1M tokens 81.3084 / 1M tokens | 4.1675 / 1M tokens 16.9393 / 1M tokens | 0.3334 / 1M tokens 1.35514 / 1M tokens |
Save 75% |
| gpt-5.5 | 8.335 / 1M tokens 33.8785 / 1M tokens | 50.01 / 1M tokens 203.271 / 1M tokens | — | 0.8335 / 1M tokens 3.38785 / 1M tokens |
Save 75% |
| gpt-5.4 | 4.1675 / 1M tokens 16.9393 / 1M tokens | 25.005 / 1M tokens 101.635 / 1M tokens | — | 0.41675 / 1M tokens 1.69392 / 1M tokens |
Save 75% |
| gpt-5.3-codex-spark | 2.91725 / 1M tokens 11.8575 / 1M tokens | 23.338 / 1M tokens 94.8598 / 1M tokens | — | 0.291725 / 1M tokens 1.18575 / 1M tokens |
Save 75% |
| gpt-image-2 | 8.335 / 1M tokens 33.8785 / 1M tokens | 16.67 / 1M tokens 67.757 / 1M tokens | — | 2.08375 / 1M tokens 8.46963 / 1M tokens |
Save 75% |
| gpt-image-2-1.5k | 8.335 / 1M tokens 33.8785 / 1M tokens | 16.67 / 1M tokens 67.757 / 1M tokens | — | 2.08375 / 1M tokens 8.46963 / 1M tokens |
Save 75% |
| gpt-image-2-2k | 8.335 / 1M tokens 33.8785 / 1M tokens | 16.67 / 1M tokens 67.757 / 1M tokens | — | 2.08375 / 1M tokens 8.46963 / 1M tokens |
Save 75% |
| gpt-image-2-4k | 8.335 / 1M tokens 33.8785 / 1M tokens | 16.67 / 1M tokens 67.757 / 1M tokens | — | 2.08375 / 1M tokens 8.46963 / 1M tokens |
Save 75% |
| 模型 | Image output |
|---|---|
| gpt-image-2 | 50.01 / 1M tokens 203.271 / 1M tokens |
| gpt-image-2-1.5k | 50.01 / 1M tokens 203.271 / 1M tokens |
| gpt-image-2-2k | 50.01 / 1M tokens 203.271 / 1M tokens |
| gpt-image-2-4k | 50.01 / 1M tokens 203.271 / 1M tokens |
| 模型 | 1K | 2K | 4K |
|---|---|---|---|
| gpt-image-2 | 0.223378 per image 0.907944 per image | 0.335067 per image 1.36192 per image | 0.446756 per image 1.81589 per image |
| gpt-image-2-1.5k | 0.223378 per image 0.907944 per image | 0.335067 per image 1.36192 per image | 0.446756 per image 1.81589 per image |
| gpt-image-2-2k | 0.223378 per image 0.907944 per image | 0.335067 per image 1.36192 per image | 0.446756 per image 1.81589 per image |
| gpt-image-2-4k | 0.223378 per image 0.907944 per image | 0.335067 per image 1.36192 per image | 0.446756 per image 1.81589 per image |
Additional operation pricing
Web search 0.01667 balance / call
Group details：Gemini · 性价比-Gemini · 1.389x
| 模型 | Input | Output | Cache write | Cache read | Savings |
|---|---|---|---|---|---|
| gemini-3-pro-preview | 2.778 / 1M tokens 13.5514 / 1M tokens | 16.668 / 1M tokens 81.3084 / 1M tokens | 2.778 / 1M tokens 13.5514 / 1M tokens | 0.2778 / 1M tokens 1.35514 / 1M tokens |
Save 80% |
| gemini-3.5-flash | 2.0835 / 1M tokens 10.1636 / 1M tokens | 12.501 / 1M tokens 60.9813 / 1M tokens | — | 0.20835 / 1M tokens 1.01635 / 1M tokens |
Save 80% |
| gemini-3-flash-preview | 0.6945 / 1M tokens 3.38785 / 1M tokens | 4.167 / 1M tokens 20.3271 / 1M tokens | — | 0.06945 / 1M tokens 0.338785 / 1M tokens |
Save 80% |
| gemini-3.1-flash-image | 0.6945 / 1M tokens 3.38785 / 1M tokens | 4.167 / 1M tokens 20.3271 / 1M tokens | — | — |
Save 80% |
| 模型 | Image output |
|---|---|
| gemini-3.1-flash-image | 83.34 / 1M tokens 406.542 / 1M tokens |
| 模型 | 1K | 2K | 4K |
|---|---|---|---|
| gemini-3.1-flash-image | 0.093341 per image 0.455327 per image | 0.140011 per image 0.682991 per image | 0.186682 per image 0.910654 per image |
Group details：Antigravity · 性价比-Antigravity · 1.389x
| 模型 | Input | Output | Cache write | Cache read | Savings |
|---|---|---|---|---|---|
| claude-fable-5 | 13.89 / 1M tokens 67.757 / 1M tokens | 69.45 / 1M tokens 338.785 / 1M tokens | 17.3625 / 1M tokens 84.6963 / 1M tokens | 1.389 / 1M tokens 6.7757 / 1M tokens |
Save 80% |
| claude-opus-4-8 | 6.945 / 1M tokens 33.8785 / 1M tokens | 34.725 / 1M tokens 169.393 / 1M tokens | 8.68125 / 1M tokens 42.3481 / 1M tokens | 0.6945 / 1M tokens 3.38785 / 1M tokens |
Save 80% |
| claude-opus-4-7 | 6.945 / 1M tokens 33.8785 / 1M tokens | 34.725 / 1M tokens 169.393 / 1M tokens | 8.68125 / 1M tokens 42.3481 / 1M tokens | 0.6945 / 1M tokens 3.38785 / 1M tokens |
Save 80% |
| claude-opus-4-6 | 6.945 / 1M tokens 33.8785 / 1M tokens | 34.725 / 1M tokens 169.393 / 1M tokens | 8.68125 / 1M tokens 42.3481 / 1M tokens | 0.6945 / 1M tokens 3.38785 / 1M tokens |
Save 80% |
| claude-opus-4-6-thinking | 6.945 / 1M tokens 33.8785 / 1M tokens | 34.725 / 1M tokens 169.393 / 1M tokens | 8.68125 / 1M tokens 42.3481 / 1M tokens | 0.6945 / 1M tokens 3.38785 / 1M tokens |
Save 80% |
| claude-opus-4-5-thinking | 6.945 / 1M tokens 33.8785 / 1M tokens | 34.725 / 1M tokens 169.393 / 1M tokens | 8.68125 / 1M tokens 42.3481 / 1M tokens | 0.6945 / 1M tokens 3.38785 / 1M tokens |
Save 80% |
| claude-opus-4-5-20251101 | 6.945 / 1M tokens 33.8785 / 1M tokens | 34.725 / 1M tokens 169.393 / 1M tokens | 8.68125 / 1M tokens 42.3481 / 1M tokens | 0.6945 / 1M tokens 3.38785 / 1M tokens |
Save 80% |
| claude-sonnet-4-6 | 4.167 / 1M tokens 20.3271 / 1M tokens | 20.835 / 1M tokens 101.635 / 1M tokens | 5.20875 / 1M tokens 25.4089 / 1M tokens | 0.4167 / 1M tokens 2.03271 / 1M tokens |
Save 80% |
| claude-sonnet-4-5 | 4.167 / 1M tokens 20.3271 / 1M tokens | 20.835 / 1M tokens 101.635 / 1M tokens | 5.20875 / 1M tokens 25.4089 / 1M tokens | 0.4167 / 1M tokens 2.03271 / 1M tokens |
Save 80% |
| claude-sonnet-4-5-thinking | 4.167 / 1M tokens 20.3271 / 1M tokens | 20.835 / 1M tokens 101.635 / 1M tokens | 5.20875 / 1M tokens 25.4089 / 1M tokens | 0.4167 / 1M tokens 2.03271 / 1M tokens |
Save 80% |
| claude-sonnet-4-5-20250929 | 4.167 / 1M tokens 20.3271 / 1M tokens | 20.835 / 1M tokens 101.635 / 1M tokens | 5.20875 / 1M tokens 25.4089 / 1M tokens | 0.4167 / 1M tokens 2.03271 / 1M tokens |
Save 80% |
| claude-haiku-4-5 | 1.389 / 1M tokens 6.7757 / 1M tokens | 6.945 / 1M tokens 33.8785 / 1M tokens | 1.73625 / 1M tokens 8.46963 / 1M tokens | 0.1389 / 1M tokens 0.67757 / 1M tokens |
Save 80% |
| claude-haiku-4-5-20251001 | 1.389 / 1M tokens 6.7757 / 1M tokens | 6.945 / 1M tokens 33.8785 / 1M tokens | 1.73625 / 1M tokens 8.46963 / 1M tokens | 0.1389 / 1M tokens 0.67757 / 1M tokens |
Save 80% |
| gpt-oss-120b-medium | 3.4725 / 1M tokens 16.9393 / 1M tokens | 20.835 / 1M tokens 101.635 / 1M tokens | — | 0.34725 / 1M tokens 1.69392 / 1M tokens |
Save 80% |
| gemini-3.1-pro | 2.778 / 1M tokens 13.5514 / 1M tokens | 16.668 / 1M tokens 81.3084 / 1M tokens | 2.778 / 1M tokens 13.5514 / 1M tokens | 0.2778 / 1M tokens 1.35514 / 1M tokens |
Save 80% |
| gemini-3.1-pro-high | 2.778 / 1M tokens 13.5514 / 1M tokens | 16.668 / 1M tokens 81.3084 / 1M tokens | 2.778 / 1M tokens 13.5514 / 1M tokens | 0.2778 / 1M tokens 1.35514 / 1M tokens |
Save 80% |
| gemini-3.1-pro-low | 2.778 / 1M tokens 13.5514 / 1M tokens | 16.668 / 1M tokens 81.3084 / 1M tokens | 2.778 / 1M tokens 13.5514 / 1M tokens | 0.2778 / 1M tokens 1.35514 / 1M tokens |
Save 80% |
| gemini-3.1-pro-preview | 2.778 / 1M tokens 13.5514 / 1M tokens | 16.668 / 1M tokens 81.3084 / 1M tokens | 2.778 / 1M tokens 13.5514 / 1M tokens | 0.2778 / 1M tokens 1.35514 / 1M tokens |
Save 80% |
| gemini-3-pro-preview | 2.778 / 1M tokens 13.5514 / 1M tokens | 16.668 / 1M tokens 81.3084 / 1M tokens | 2.778 / 1M tokens 13.5514 / 1M tokens | 0.2778 / 1M tokens 1.35514 / 1M tokens |
Save 80% |
| gemini-2.5-pro | 1.73625 / 1M tokens 8.46963 / 1M tokens | 13.89 / 1M tokens 67.757 / 1M tokens | 1.73625 / 1M tokens 8.46963 / 1M tokens | 0.173625 / 1M tokens 0.846962 / 1M tokens |
Save 80% |
| gemini-3.6-flash | 1.04175 / 1M tokens 5.08178 / 1M tokens | 5.20875 / 1M tokens 25.4089 / 1M tokens | — | 0.104175 / 1M tokens 0.508177 / 1M tokens |
Save 80% |
| gemini-3.6-flash-high | 1.04175 / 1M tokens 5.08178 / 1M tokens | 5.20875 / 1M tokens 25.4089 / 1M tokens | — | 0.104175 / 1M tokens 0.508177 / 1M tokens |
Save 80% |
| gemini-3.6-flash-low | 1.04175 / 1M tokens 5.08178 / 1M tokens | 5.20875 / 1M tokens 25.4089 / 1M tokens | — | 0.104175 / 1M tokens 0.508177 / 1M tokens |
Save 80% |
| gemini-3.6-flash-medium | 1.04175 / 1M tokens 5.08178 / 1M tokens | 5.20875 / 1M tokens 25.4089 / 1M tokens | — | 0.104175 / 1M tokens 0.508177 / 1M tokens |
Save 80% |
| gemini-3.6-flash-tiered | 1.04175 / 1M tokens 5.08178 / 1M tokens | 5.20875 / 1M tokens 25.4089 / 1M tokens | — | 0.104175 / 1M tokens 0.508177 / 1M tokens |
Save 80% |
| gemini-3-flash | 0.6945 / 1M tokens 3.38785 / 1M tokens | 4.167 / 1M tokens 20.3271 / 1M tokens | — | 0.06945 / 1M tokens 0.338785 / 1M tokens |
Save 80% |
| gemini-3-flash-preview | 0.6945 / 1M tokens 3.38785 / 1M tokens | 4.167 / 1M tokens 20.3271 / 1M tokens | — | 0.06945 / 1M tokens 0.338785 / 1M tokens |
Save 80% |
| gemini-2.5-flash | 0.4167 / 1M tokens 2.03271 / 1M tokens | 3.4725 / 1M tokens 16.9393 / 1M tokens | — | 0.04167 / 1M tokens 0.203271 / 1M tokens |
Save 80% |
| gemini-2.5-flash-lite | 0.1389 / 1M tokens 0.67757 / 1M tokens | 0.5556 / 1M tokens 2.71028 / 1M tokens | — | 0.01389 / 1M tokens 0.067757 / 1M tokens |
Save 80% |
| gemini-3-pro-image | 2.778 / 1M tokens 13.5514 / 1M tokens | 16.668 / 1M tokens 81.3084 / 1M tokens | — | — |
Save 80% |
| gemini-3-pro-image-preview | 2.778 / 1M tokens 13.5514 / 1M tokens | 16.668 / 1M tokens 81.3084 / 1M tokens | — | — |
Save 80% |
| gemini-3.1-flash-image | 0.6945 / 1M tokens 3.38785 / 1M tokens | 4.167 / 1M tokens 20.3271 / 1M tokens | — | — |
Save 80% |
| gemini-3.1-flash-image-preview | 0.6945 / 1M tokens 3.38785 / 1M tokens | 4.167 / 1M tokens 20.3271 / 1M tokens | — | — |
Save 80% |
| gemini-2.5-flash-image | 0.4167 / 1M tokens 2.03271 / 1M tokens | 3.4725 / 1M tokens 16.9393 / 1M tokens | — | 0.04167 / 1M tokens 0.203271 / 1M tokens |
Save 80% |
| 模型 | Image output |
|---|---|
| gemini-3-pro-image | 166.68 / 1M tokens 813.084 / 1M tokens |
| gemini-3-pro-image-preview | 166.68 / 1M tokens 813.084 / 1M tokens |
| gemini-3.1-flash-image | 83.34 / 1M tokens 406.542 / 1M tokens |
| gemini-3.1-flash-image-preview | 83.34 / 1M tokens 406.542 / 1M tokens |
| gemini-2.5-flash-image | 41.67 / 1M tokens 203.271 / 1M tokens |
| 模型 | 1K | 2K | 4K |
|---|---|---|---|
| gemini-3-pro-image | 0.186126 per image 0.907944 per image | 0.279189 per image 1.36192 per image | 0.372252 per image 1.81589 per image |
| gemini-3-pro-image-preview | 0.186126 per image 0.907944 per image | 0.279189 per image 1.36192 per image | 0.372252 per image 1.81589 per image |
| gemini-3.1-flash-image | 0.093341 per image 0.455327 per image | 0.140011 per image 0.682991 per image | 0.186682 per image 0.910654 per image |
| gemini-3.1-flash-image-preview | 0.093341 per image 0.455327 per image | 0.140011 per image 0.682991 per image | 0.186682 per image 0.910654 per image |
| gemini-2.5-flash-image | 0.054171 per image 0.264252 per image | 0.081256 per image 0.396378 per image | 0.108342 per image 0.528505 per image |
Group details：Grok · 性价比-Grok · 1.389x
| 模型 | Input | Output | Cache write | Cache read | Savings |
|---|---|---|---|---|---|
| grok-4.5 | 2.778 / 1M tokens 13.5514 / 1M tokens | 8.334 / 1M tokens 40.6542 / 1M tokens | — | 0.4167 / 1M tokens 2.03271 / 1M tokens |
Save 80% |
| grok-4.5-latest | 2.778 / 1M tokens 13.5514 / 1M tokens | 8.334 / 1M tokens 40.6542 / 1M tokens | — | 0.4167 / 1M tokens 2.03271 / 1M tokens |
Save 80% |
| grok-4.20-0309-non-reasoning | 1.73625 / 1M tokens 8.46963 / 1M tokens | 3.4725 / 1M tokens 16.9393 / 1M tokens | — | 0.2778 / 1M tokens 1.35514 / 1M tokens |
Save 80% |
| grok-4.20-0309-reasoning | 1.73625 / 1M tokens 8.46963 / 1M tokens | 3.4725 / 1M tokens 16.9393 / 1M tokens | — | 0.2778 / 1M tokens 1.35514 / 1M tokens |
Save 80% |
| grok-4.20-multi-agent-0309 | 1.73625 / 1M tokens 8.46963 / 1M tokens | 3.4725 / 1M tokens 16.9393 / 1M tokens | — | 0.2778 / 1M tokens 1.35514 / 1M tokens |
Save 80% |
| grok-4.20-non-reasoning | 1.73625 / 1M tokens 8.46963 / 1M tokens | 3.4725 / 1M tokens 16.9393 / 1M tokens | — | 0.2778 / 1M tokens 1.35514 / 1M tokens |
Save 80% |
| grok-4.20-reasoning | 1.73625 / 1M tokens 8.46963 / 1M tokens | 3.4725 / 1M tokens 16.9393 / 1M tokens | — | 0.2778 / 1M tokens 1.35514 / 1M tokens |
Save 80% |
| composer-2.5 | 1.389 / 1M tokens 6.7757 / 1M tokens | 2.778 / 1M tokens 13.5514 / 1M tokens | — | 0.2778 / 1M tokens 1.35514 / 1M tokens |
Save 80% |
| grok-composer-2.5-fast | 1.389 / 1M tokens 6.7757 / 1M tokens | 2.778 / 1M tokens 13.5514 / 1M tokens | — | 0.2778 / 1M tokens 1.35514 / 1M tokens |
Save 80% |
| grok | 2.778 / 1M tokens 13.5514 / 1M tokens | 8.334 / 1M tokens 40.6542 / 1M tokens | — | 0.6945 / 1M tokens 3.38785 / 1M tokens |
Save 80% |
| grok-latest | 2.778 / 1M tokens 13.5514 / 1M tokens | 8.334 / 1M tokens 40.6542 / 1M tokens | — | 0.6945 / 1M tokens 3.38785 / 1M tokens |
Save 80% |
| grok-build | 1.389 / 1M tokens 6.7757 / 1M tokens | 2.778 / 1M tokens 13.5514 / 1M tokens | — | 0.2778 / 1M tokens 1.35514 / 1M tokens |
Save 80% |
| grok-build-0.1 | 1.389 / 1M tokens 6.7757 / 1M tokens | 2.778 / 1M tokens 13.5514 / 1M tokens | — | 0.2778 / 1M tokens 1.35514 / 1M tokens |
Save 80% |
| grok-build-latest | 1.389 / 1M tokens 6.7757 / 1M tokens | 2.778 / 1M tokens 13.5514 / 1M tokens | — | 0.2778 / 1M tokens 1.35514 / 1M tokens |
Save 80% |
| grok-composer | 1.389 / 1M tokens 6.7757 / 1M tokens | 2.778 / 1M tokens 13.5514 / 1M tokens | — | 0.2778 / 1M tokens 1.35514 / 1M tokens |
Save 80% |
| 模型 | 1K | 2K | 4K |
|---|---|---|---|
| grok-imagine | 0.02778 per image 0.135514 per image | 0.02778 per image 0.135514 per image | 0.02778 per image 0.135514 per image |
| grok-imagine-edit | 0.02778 per image 0.135514 per image | 0.02778 per image 0.135514 per image | 0.02778 per image 0.135514 per image |
| grok-imagine-image | 0.02778 per image 0.135514 per image | 0.02778 per image 0.135514 per image | 0.02778 per image 0.135514 per image |
| grok-imagine-image-quality | 0.06945 per image 0.338785 per image | 0.09723 per image 0.474299 per image | 0.09723 per image 0.474299 per image |
| 模型 | 480p | 720p | 1080p |
|---|---|---|---|
| grok-imagine-video | 0.06945 per second of video 0.338785 per second of video | 0.09723 per second of video 0.474299 per second of video | 0.09723 per second of video 0.474299 per second of video |
| grok-imagine-video-1.5 | 0.11112 per second of video 0.542056 per second of video | 0.19446 per second of video 0.948598 per second of video | 0.34725 per second of video 1.69392 per second of video |
Group details：Grok · 半高可用-Grok · 0.8x
| 模型 | Input | Output | Cache write | Cache read | Savings |
|---|---|---|---|---|---|
| grok-4.5 | 1.6 / 1M tokens 13.5514 / 1M tokens | 4.8 / 1M tokens 40.6542 / 1M tokens | — | 0.24 / 1M tokens 2.03271 / 1M tokens |
Save 88% |
Group details：DeepSeek · 高可用-DeepSeek · 2x
| 模型 | Input | Output | Cache write | Cache read | Savings |
|---|---|---|---|---|---|
| deepseek-v4-flash | 0.88 / 1M tokens 2.98131 / 1M tokens | 2.64 / 1M tokens 8.94392 / 1M tokens | — | 0.028 / 1M tokens 0.09486 / 1M tokens |
Save 70% |
| deepseek-v4-pro | 2.64 / 1M tokens 8.94392 / 1M tokens | 7.92 / 1M tokens 26.8318 / 1M tokens | — | 0.088 / 1M tokens 0.298131 / 1M tokens |
Save 70% |
Additional operation pricing
Web search 0.02 balance / call
Group details：智谱 · 高可用-GLM · 1.333x
| 模型 | Input | Output | Cache write | Cache read | Savings |
|---|---|---|---|---|---|
| glm-5.2 | 1.8662 / 1M tokens 9.48598 / 1M tokens | 5.8652 / 1M tokens 29.8131 / 1M tokens | — | 0.34658 / 1M tokens 1.76168 / 1M tokens |
Save 80% |
| glm-5.1 | 1.8662 / 1M tokens 9.48598 / 1M tokens | 5.8652 / 1M tokens 29.8131 / 1M tokens | 1.333 / 1M tokens 6.7757 / 1M tokens | 0.37324 / 1M tokens 1.8972 / 1M tokens |
Save 80% |
Additional operation pricing
Web search 0.01333 balance / call
Notes
These are the current default balance prices for public groups, with public group multipliers already applied. 1 yuan tops up 1 balance. Actual charges follow console records; prices may be adjusted. Groups with peak rules enabled may apply an additional multiplier during the stated window; refer to the group details and your actual bill.