Fable 5
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-fable-5 | 输入 ¥17.94 / 输出 ¥89.7 / 缓存 ¥1.79 / 写入 ¥22.43 | 0% | — | — | — |
Site descriptions, notices, and reviews are shown in the language in which they were submitted.
2025年上线,支持大规模调用,GPT官价1折,Claude官价1.5折,缓存价格为输入价格的0.1,GPT缓存率99%,Claude缓存率95%左右,为开发者和普通人提供高智商前沿模型,且仅提供高智商模型,适合编程、科研、龙虾Claw、Hermes等场景下使用
Price listing
Fable 5
1 public records are listed; open the full page to review details as needed.
Price listing
Opus 4.8
1 public records are listed; open the full page to review details as needed.
Price listing
Opus 4.7
1 public records are listed; open the full page to review details as needed.
Price listing
Sonnet 5
1 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.
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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
GLM 5.2
1 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.
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Opus 4.6
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-fable-5 | 输入 ¥17.94 / 输出 ¥89.7 / 缓存 ¥1.79 / 写入 ¥22.43 | 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-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-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 |
|---|---|---|---|---|---|---|
| GPT Image 2 | 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 |
|---|---|---|---|---|---|---|
| GPT Image 2 | 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 |
|---|---|---|---|---|---|---|
| GPT Image 2 | 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 |
|---|---|---|---|---|---|---|
| claude | glm-5.2 | 输入 ¥5 / 输出 ¥15 / 缓存 ¥1.03 / 写入 ¥5 | 0% | — | — | — |
| Channel | Provider model | Current price | Price trend | Uptime | Fake % | Latency |
|---|---|---|---|---|---|---|
| GPT Image 2 | gpt-image-2 | 输入 ¥34.5 / 输出 ¥69 / 缓存 ¥8.63 / 写入 ¥0 | 0% | — | — | — |
| 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% | — | — | — |
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.