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Site domain
bnwu.top
Established
Not listed
Covered models
Claude Opus 4.6 / Claude Opus 4.7 / Claude Sonnet 4.6 / GPT 5.5
Public records
7 public records
User feedback
0 up / 0 down

Model coverage summary

Price listing

Claude Opus 4.6

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

Price listing

Claude Opus 4.7

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

Price listing

Claude Sonnet 4.6

2 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.

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.

Claude Opus 4.6

2 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
企业-kiro按量 claude-opus-4-6 输入 ¥2007500 / 输出 ¥10037500 / 缓存 ¥200750 / 写入 ¥0 0%
企业-kiro-cc高缓存 claude-opus-4-6 输入 ¥3650000 / 输出 ¥18250000 / 缓存 ¥365000 / 写入 ¥0 0%

Claude Opus 4.7

2 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
企业-kiro按量 claude-opus-4-7 输入 ¥2007500 / 输出 ¥10037500 / 缓存 ¥200750 / 写入 ¥0 0%
企业-kiro-cc高缓存 claude-opus-4-7 输入 ¥3650000 / 输出 ¥18250000 / 缓存 ¥365000 / 写入 ¥0 0%

Claude Sonnet 4.6

2 public records are listed; open the full page to review details as needed.
Channel Provider model Current price Price trend Uptime Fake % Latency
企业-kiro按量 claude-sonnet-4-6 输入 ¥1204500 / 输出 ¥6022500 / 缓存 ¥120450 / 写入 ¥0 0%
企业-kiro-cc高缓存 claude-sonnet-4-6 输入 ¥2190000 / 输出 ¥10950000 / 缓存 ¥219000 / 写入 ¥0 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
企业codex gpt-5.5 输入 ¥6570000 / 输出 ¥39420000 / 缓存 ¥657000 / 写入 ¥0 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.