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云算 Api 更强模型 更低价格 更易落地 致力于为开发者提供快速、便捷的 Web API 接口调用方案，打造稳定且易于使用的 API 接口平台，一站式集成几乎所有AI大模型。
Price listing
Opus 4.7
7 public records are listed; open the full page to review details as needed.
Price listing
GPT 5.5
7 public records are listed; open the full page to review details as needed.
Price listing
GPT Image 2
8 public records are listed; open the full page to review details as needed.
Price listing
Opus 4.6
7 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 |
|---|---|---|---|---|---|---|
| 特价 Claude Code | claude-opus-4-7 | 输入 ¥6 / 输出 ¥30 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| 逆向 | claude-opus-4-7 | 输入 ¥7 / 输出 ¥35 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| 官转克劳德2 | claude-opus-4-7 | 输入 ¥30 / 输出 ¥150 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| 限时特价 | gpt-5.5 | 输入 ¥3 / 输出 ¥18 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| Codex专属 | gpt-5.5 | 输入 ¥4 / 输出 ¥24 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| 逆向 | gpt-5.5 | 输入 ¥7 / 输出 ¥42 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| 限时特价 | gpt-image-2 | 输入 ¥3 / 输出 ¥18 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| Codex专属 | gpt-image-2 | 输入 ¥4 / 输出 ¥24 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| default | gpt-image-2 | 输入 ¥5 / 输出 ¥30 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| 特价 Claude Code | claude-opus-4-6 | 输入 ¥6 / 输出 ¥30 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| 逆向 | claude-opus-4-6 | 输入 ¥7 / 输出 ¥35 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
| 官转克劳德1 | claude-opus-4-6 | 输入 ¥20 / 输出 ¥100 / 缓存 ¥0 / 写入 ¥0 | 0% | — | — | — |
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.