H docai.cc
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Site domain
router.aionclaw.ai
Established
2026-04-01
Covered models
Fable 5 / Opus 4.8 / Opus 4.7 / Sonnet 5 / GPT 5.6 Sol / GPT 5.6 Terra / GPT 5.5 / GLM 5.2 / GPT Image 2 / Opus 4.6
Public records
47 public records
User feedback
0 up / 0 down

Site descriptions, notices, and reviews are shown in the language in which they were submitted.

Site introduction

平台只提供官方Key,并且不定期提供折扣官方模型。支持各类模态模型,海外最全热门模型。支持不同模型之间的各种使用参数比较。

Model coverage summary

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

1 public records are listed; open the full page to review details as needed.

Price listing

GPT 5.6 Terra

1 public records are listed; open the full page to review details as needed.

Price listing

GPT 5.5

1 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.

Price listing

GPT Image 2

1 public records are listed; open the full page to review details as needed.

Price listing

Opus 4.6

1 public records are listed; open the full page to review details as needed.

Public model pricing

Current public prices are shown by model and channel. Token prices use CNY per 1M tokens unless another billing unit is shown.

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
Standard claude-fable-5 输入 ¥73 / 输出 ¥365 / 缓存 ¥7.3 / 写入 ¥146 0% — — —

Opus 4.8

1 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
Standard claude-opus-4-8 输入 ¥36.5 / 输出 ¥182.5 / 缓存 ¥3.65 / 写入 ¥73 0% — — —

Opus 4.7

1 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
Standard claude-opus-4-7 输入 ¥36.5 / 输出 ¥182.5 / 缓存 ¥3.65 / 写入 ¥73 0% — — —

Sonnet 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
Standard claude-sonnet-5 输入 ¥14.6 / 输出 ¥73 / 缓存 ¥1.46 / 写入 ¥29.2 0% — — —

GPT 5.6 Sol

1 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
Standard gpt-5.6-sol 输入 ¥10.95 / 输出 ¥87.6 / 缓存 ¥1.09 / 写入 ¥13.69 0% — — —

GPT 5.6 Terra

1 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
Standard gpt-5.6-terra 输入 ¥10.95 / 输出 ¥65.7 / 缓存 ¥0 / 写入 ¥13.69 0% — — —

GPT 5.5

1 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
Standard gpt-5.5 输入 ¥87.6 / 输出 ¥547.5 / 缓存 ¥9.13 / 写入 ¥0 0% — — —

GLM 5.2

1 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
Standard glm-5.2 输入 ¥10.22 / 输出 ¥32.12 / 缓存 ¥2.04 / 写入 ¥0 0% — — —

GPT Image 2

1 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
Standard gpt-image-2 输入 ¥36.5 / 输出 ¥219 / 缓存 ¥14.6 / 写入 ¥0 0% — — —

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
Standard claude-opus-4-6 输入 ¥36.5 / 输出 ¥182.5 / 缓存 ¥3.65 / 写入 ¥73 0% — — —

How to read this data

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.