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支持Claude与OpenAI全系模型, 纯血CCMax，自建号池，企业级稳定，高并发。高智商Kiro，99缓存 超稳定gpt，自带生图工作台。
Price listing
Fable 5
4 public records are listed; open the full page to review details as needed.
Price listing
Opus 4.8
5 public records are listed; open the full page to review details as needed.
Price listing
Opus 4.7
5 public records are listed; open the full page to review details as needed.
Price listing
Sonnet 5
3 public records are listed; open the full page to review details as needed.
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
1 public records are listed; open the full page to review details as needed.
Price listing
Opus 4.6
5 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 |
|---|---|---|---|---|---|---|
| CC-kiro | claude-fable-5 | 输入 ¥4 / 输出 ¥20 / 缓存 ¥0.4 / 写入 ¥8 | 0% | — | — | — |
| CC-Aws | claude-fable-5 | 输入 ¥5 / 输出 ¥25 / 缓存 ¥0.5 / 写入 ¥10 | 0% | — | — | — |
| CC-max | claude-fable-5 | 输入 ¥15 / 输出 ¥75 / 缓存 ¥1.5 / 写入 ¥30 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| CC-kiro | claude-opus-4-8 | 输入 ¥2 / 输出 ¥10 / 缓存 ¥0.2 / 写入 ¥4 | 0% | — | — | — |
| CC-Aws | claude-opus-4-8 | 输入 ¥2.5 / 输出 ¥12.5 / 缓存 ¥0.25 / 写入 ¥5 | 0% | — | — | — |
| CC-max | claude-opus-4-8 | 输入 ¥7.5 / 输出 ¥37.5 / 缓存 ¥0.75 / 写入 ¥15 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| CC-kiro | claude-opus-4-7 | 输入 ¥2 / 输出 ¥10 / 缓存 ¥0.2 / 写入 ¥4 | 0% | — | — | — |
| CC-Aws | claude-opus-4-7 | 输入 ¥2.5 / 输出 ¥12.5 / 缓存 ¥0.25 / 写入 ¥5 | 0% | — | — | — |
| CC-max | claude-opus-4-7 | 输入 ¥7.5 / 输出 ¥37.5 / 缓存 ¥0.75 / 写入 ¥15 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| CC-kiro | claude-sonnet-5 | 输入 ¥0.8 / 输出 ¥4 / 缓存 ¥0.08 / 写入 ¥1.6 | 0% | — | — | — |
| CC-Aws | claude-sonnet-5 | 输入 ¥1 / 输出 ¥5 / 缓存 ¥0.1 / 写入 ¥2 | 0% | — | — | — |
| CC-max | claude-sonnet-5 | 输入 ¥3 / 输出 ¥15 / 缓存 ¥0.3 / 写入 ¥6 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| codex-plus | gpt-5.6-sol | 输入 ¥0.5 / 输出 ¥3 / 缓存 ¥0.05 / 写入 ¥0 | 0% | — | — | — |
| Codex-pro | gpt-5.6-sol | 输入 ¥1.75 / 输出 ¥10.5 / 缓存 ¥0.175 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| codex-plus | gpt-5.6-terra | 输入 ¥0.25 / 输出 ¥1.5 / 缓存 ¥0.025 / 写入 ¥0 | 0% | — | — | — |
| Codex-pro | gpt-5.6-terra | 输入 ¥0.875 / 输出 ¥5.25 / 缓存 ¥0.0875 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| codex-plus | gpt-5.5 | 输入 ¥0.5 / 输出 ¥3 / 缓存 ¥0.05 / 写入 ¥0 | 0% | — | — | — |
| Codex-pro | gpt-5.5 | 输入 ¥1.75 / 输出 ¥10.5 / 缓存 ¥0.175 / 写入 ¥0 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| image2生图专用 | gpt-image-2 | ¥0.134 / 次 | - | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| CC-kiro | claude-opus-4-6 | 输入 ¥2 / 输出 ¥10 / 缓存 ¥0.2 / 写入 ¥4 | 0% | — | — | — |
| CC-Aws | claude-opus-4-6 | 输入 ¥2.5 / 输出 ¥12.5 / 缓存 ¥0.25 / 写入 ¥5 | 0% | — | — | — |
| CC-max | claude-opus-4-6 | 输入 ¥7.5 / 输出 ¥37.5 / 缓存 ¥0.75 / 写入 ¥15 | 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.