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【稳定平替】全网首选Claude, GPT 聚合网关，告别 API 报错！零成本迁移：提供标准的 Anthropic OpenAI 兼容端点，原有项目只需修改 baseURL 即可完美运行。稳健智能路由：基于容量与健康度自动分流，告别并发限制，告别单点故障。极度透明定价：无隐藏费用，按实际用量精准计费，让你的每一分钱都花在刀刃上。核心优势：专为Claude, GPT 模型优化中转链路，延迟更低，响应更快！
Price listing
GPT 5.6 Sol
3 public records are listed; open the full page to review details as needed.
Price listing
GPT 5.6 Terra
3 public records are listed; open the full page to review details as needed.
Price listing
GPT 5.5
3 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 |
|---|---|---|---|---|---|---|
| Codex-plus | gpt-5.6-sol | 输入 ¥0.6 / 输出 ¥3.6 / 缓存 ¥0.06 / 写入 ¥0.75 | 0% | — | — | — |
| Codex-pro1 | gpt-5.6-sol | 输入 ¥0.9 / 输出 ¥5.4 / 缓存 ¥0.09 / 写入 ¥1.13 | 0% | — | — | — |
| Codex-pro2 | gpt-5.6-sol | 输入 ¥1.4 / 输出 ¥8.4 / 缓存 ¥0.14 / 写入 ¥1.75 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Codex-plus | gpt-5.6-terra | 输入 ¥0.24 / 输出 ¥1.44 / 缓存 ¥0.024 / 写入 ¥0.3 | 0% | — | — | — |
| Codex-pro1 | gpt-5.6-terra | 输入 ¥0.36 / 输出 ¥2.16 / 缓存 ¥0.036 / 写入 ¥0.45 | 0% | — | — | — |
| Codex-pro2 | gpt-5.6-terra | 输入 ¥0.56 / 输出 ¥3.36 / 缓存 ¥0.056 / 写入 ¥0.7 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| Codex-plus | gpt-5.5 | 输入 ¥0.6 / 输出 ¥3.6 / 缓存 ¥0.06 / 写入 ¥0.75 | 0% | — | — | — |
| Codex-pro1 | gpt-5.5 | 输入 ¥0.9 / 输出 ¥5.4 / 缓存 ¥0.09 / 写入 ¥1.13 | 0% | — | — | — |
| Codex-pro2 | gpt-5.5 | 输入 ¥1.4 / 输出 ¥8.4 / 缓存 ¥0.14 / 写入 ¥1.75 | 0% | — | — | — |
5.0 / 5 from 1 approved reviews
总体还不错，国庆期间用了几天挺稳的，做了一个中等规模的项目，花了20块钱，感觉应该没参水，主要用的6.1sol
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.