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主要对接散户，价格公道合理，稳定是第一要素。codex倍率0.1，延迟单独做过优化，负载做的很好，号池有冗余，专业做codex。可生图1k，2k，4 k。可使用fast模式。
Price listing
GPT 5.6 Sol
2 public records are listed; open the full page to review details as needed.
Price listing
GPT 5.6 Terra
2 public records are listed; open the full page to review details as needed.
Price listing
GPT 5.5
2 public records are listed; open the full page to review details as needed.
Price listing
GPT Image 2
2 public records are listed; open the full page to review details as needed.
Current public prices are shown by model and channel. Token prices use CNY per 1M tokens unless another billing unit is shown.
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| （禁止蒸馏，蒸馏封号不退款）对接分组（智商检测；manxue.ai） | gpt-daybreak-blue-latest | 输入 ¥0.4 / 输出 ¥2 / 缓存 ¥0.04 / 写入 ¥0.5 | 0% | — | — | — |
| 散户分组，限制rpm（智商检测；manxue.ai） | gpt-daybreak-blue-latest | 输入 ¥0.4 / 输出 ¥2 / 缓存 ¥0.04 / 写入 ¥0.5 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| （禁止蒸馏，蒸馏封号不退款）对接分组（智商检测；manxue.ai） | gpt-5.6-terra | 输入 ¥0.2 / 输出 ¥1.2 / 缓存 ¥0.02 / 写入 ¥0.25 | 0% | — | — | — |
| 散户分组，限制rpm（智商检测；manxue.ai） | gpt-5.6-terra | 输入 ¥0.2 / 输出 ¥1.2 / 缓存 ¥0.02 / 写入 ¥0.25 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| （禁止蒸馏，蒸馏封号不退款）对接分组（智商检测；manxue.ai） | gpt-5.5 | 输入 ¥0.5 / 输出 ¥3 / 缓存 ¥0.05 / 写入 ¥0 | 0% | — | — | — |
| 散户分组，限制rpm（智商检测；manxue.ai） | gpt-5.5 | 输入 ¥0.5 / 输出 ¥3 / 缓存 ¥0.05 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| （禁止蒸馏，蒸馏封号不退款）对接分组（智商检测；manxue.ai） | gpt-image-2 | 输入 ¥0.5 / 输出 ¥1 / 缓存 ¥0.13 / 写入 ¥0 | 0% | — | — | — |
| 散户分组，限制rpm（智商检测；manxue.ai） | gpt-image-2 | 输入 ¥0.5 / 输出 ¥1 / 缓存 ¥0.13 / 写入 ¥0 | 0% | — | — | — |
4.0 / 5 from 1 approved reviews
Uptime is the share of recent probes where the service was available; a higher value generally indicates better stability.
Model consistency uses model pass results to show whether the endpoint behaves like the target model.
Pricing and latency come from public monitoring data and are intended for side-by-side gateway comparison.
Data is provided for reference. Third-party gateways may experience outages or balance loss, so test first and add only a small balance when needed.