Claude Opus 4.6
1 public records are listed; open the full page to review details as needed.| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| claude | claude-opus-4-6 | 输入 ¥2.59 / 输出 ¥12.94 / 缓存 ¥0.2587 / 写入 ¥3.23 | 0% | — | — | — |
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Noonoo 是一个面向开发者的 AI 模型聚合平台,提供 OpenAI Compatible API,支持 Claude、GPT等主流大模型统一接入。无需修改业务逻辑即可快速切换模型,帮助开发者降低接入成本、提升开发效率。平台提供稳定的 API 服务、高可用线路、详细的调用日志、透明的计费方式以及持续的模型更新,并提供完善的技术支持,适用于 AI 应用开发、Agent、Cursor、Claude Code、Cline、Open WebUI 等场景。
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Claude Opus 4.6
1 public records are listed; open the full page to review details as needed.
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Claude Opus 4.7
1 public records are listed; open the full page to review details as needed.
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Claude Opus 4.8
1 public records are listed; open the full page to review details as needed.
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Claude Sonnet 5
1 public records are listed; open the full page to review details as needed.
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GPT 5.4
2 public records are listed; open the full page to review details as needed.
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GPT 5.5
2 public records are listed; open the full page to review details as needed.
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GPT 5.6 Terra
2 public records are listed; open the full page to review details as needed.
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GPT-5.6 Luna
2 public records are listed; open the full page to review details as needed.
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GPT 5.6 Sol
2 public records are listed; open the full page to review details as needed.
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GPT Image 2
1 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 |
|---|---|---|---|---|---|---|
| claude | claude-opus-4-6 | 输入 ¥2.59 / 输出 ¥12.94 / 缓存 ¥0.2587 / 写入 ¥3.23 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| claude | claude-opus-4-7 | 输入 ¥2.59 / 输出 ¥12.94 / 缓存 ¥0.2587 / 写入 ¥3.23 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| claude | claude-opus-4-8 | 输入 ¥2.59 / 输出 ¥12.94 / 缓存 ¥0.2587 / 写入 ¥3.23 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| claude | claude-sonnet-5 | 输入 ¥1.21 / 输出 ¥6.21 / 缓存 ¥0.1207 / 写入 ¥1.51 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| 图片分组 | gpt-5.4 | 输入 ¥1.73 / 输出 ¥10.35 / 缓存 ¥0.1725 / 写入 ¥1.73 | 0% | — | — | — |
| openai | gpt-5.4 | 输入 ¥1.73 / 输出 ¥10.35 / 缓存 ¥0.1725 / 写入 ¥1.73 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| 图片分组 | gpt-5.5 | 输入 ¥3.45 / 输出 ¥20.7 / 缓存 ¥0.345 / 写入 ¥3.45 | 0% | — | — | — |
| openai | gpt-5.5 | 输入 ¥3.45 / 输出 ¥20.7 / 缓存 ¥0.345 / 写入 ¥3.45 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| 图片分组 | gpt-5.6-terra | 输入 ¥1.73 / 输出 ¥10.35 / 缓存 ¥0.1725 / 写入 ¥1.73 | 0% | — | — | — |
| openai | gpt-5.6-terra | 输入 ¥1.73 / 输出 ¥10.35 / 缓存 ¥0.1725 / 写入 ¥1.73 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| 图片分组 | gpt-5.6-luna | 输入 ¥0.69 / 输出 ¥4.14 / 缓存 ¥0.069 / 写入 ¥0.69 | 0% | — | — | — |
| openai | gpt-5.6-luna | 输入 ¥0.69 / 输出 ¥4.14 / 缓存 ¥0.069 / 写入 ¥0.69 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| 图片分组 | gpt-5.6-sol | 输入 ¥3.45 / 输出 ¥20.7 / 缓存 ¥0.345 / 写入 ¥3.45 | 0% | — | — | — |
| openai | gpt-5.6-sol | 输入 ¥3.45 / 输出 ¥20.7 / 缓存 ¥0.345 / 写入 ¥3.45 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| 图片分组 | gpt-image-2 | 输入 ¥34.5 / 输出 ¥69 / 缓存 ¥8.63 / 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.