Is claude-opus-4-8 genuine? Deep check result
High risk
claude-opus-4-8 本次深度验真结果:High risk(57/100)。主要问题:问它是哪个型号时答案会变;同一个问题反复问,答案会变;它不报回用量,没法核对扣费。
主要问题:问它是哪个型号时答案会变;同一个问题反复问,答案会变;它不报回用量,没法核对扣费。
claude-opus-4-8 本次深度验真结果:High risk(57/100)。主要问题:问它是哪个型号时答案会变;同一个问题反复问,答案会变;它不报回用量,没法核对扣费。
主要问题:问它是哪个型号时答案会变;同一个问题反复问,答案会变;它不报回用量,没法核对扣费。
Reported usage is used; estimates appear only when none is reported.
Several runs in a row to see whether repeated content is billed at the cheaper cache rate; 0% means no cache discount this time.
The endpoint reported real usage but no cached part; this seller may not offer cache pricing, or nothing hit the cache this time.
Review API availability, model identity, response completeness, and other checks separately.
主要问题:问它是哪个型号时答案会变;同一个问题反复问,答案会变;它不报回用量,没法核对扣费。
Expand any row for details; anything private has been removed.
claude-opus-4-8 is visible in the API model list.
This test ran 29 times; result: Passed.
The basic API call succeeded and returned a recognizable response.
This test ran 1 times; result: Passed.
Asked the model to identify itself; all 1 responses matched the expected name.
This test ran 1 times: 1 passed. This test used 6.8K tokens
用几道题看它的回答水平像不像官方模型。 1 次都对。
This test ran 1 times: 1 passed. This test used 6.5K tokens
用几道题看它的回答水平像不像官方模型。 1 次都对。
This test ran 1 times: 1 passed. This test used 6.5K tokens
按官方接口的标准调用,看返回是否规范。 1 次都对。
This test ran 1 times: 1 passed. This test used 6.6K tokens
用几道题看它的回答水平像不像官方模型。 1 次都对。
This test ran 1 times: 1 passed. This test used 6.6K tokens
Asked the model to identify itself; all 1 responses matched the expected name.
This test ran 1 times: 1 passed. This test used 6.7K tokens
核对它报回来的用量和缓存计费。 有几次没对上。
This test ran 1 times: 1 need attention. Why it failed: Usage fields were not observable This test used 6.6K tokens
用几道题看它的回答水平像不像官方模型。 1 次都对。
This test ran 1 times: 1 passed. This test used 6.8K tokens
反复多问几次,看会不会答一半就断或偷偷换模型。 有几次没对上。
This test ran 2 times: 2 need attention. Why it failed: Retest consistency was insufficient This test used 13.3K tokens
Asked the model to identify itself; all 1 responses matched the expected name.
This test ran 1 times: 1 passed. This test used 6.7K tokens
用几道题看它的回答水平像不像官方模型。 1 次都对。
This test ran 1 times: 1 passed. This test used 6.6K tokens
问它自己是什么模型,看答案对不对。 有几次没对上。
This test ran 1 times: 1 need attention. Why it failed: Model-code anchoring was unstable This test used 6.7K tokens
问它自己是什么模型,看答案对不对。 有几次没对上。
This test ran 1 times: 1 need attention. Why it failed: Model-family identification was unstable This test used 6.6K tokens
用几道题看它的回答水平像不像官方模型。 有几次没对上。
This test ran 1 times: 1 need attention. Why it failed: Model-specific boundary response was unclear This test used 7.1K tokens
针对这个模型再做一项专门检测。 有几次没对上。
This test ran 5 times: 5 passed, 1 need attention. Why it failed: Cache-usage fields were not observable This test used 59.1K tokens
针对这个模型再做一项专门检测。 1 次都对。
This test ran 1 times: 1 passed. This test used 6.5K tokens
针对这个模型再做一项专门检测。 有几次没对上。
This test ran 1 times: 1 need attention. Why it failed: Claude thinking signature was not observable
针对这个模型再做一项专门检测。 1 次都对。
This test ran 1 times: 1 passed. This test used 6.5K tokens
针对这个模型再做一项专门检测。 1 次都对。
This test ran 1 times: 1 passed. This test used 7.1K tokens
针对这个模型再做一项专门检测。 有几次没对上。
This test ran 1 times: 1 need attention. Why it failed: Structured output was unstable This test used 6.6K tokens
还没有人评论,来写第一条。
Before you buy AI, check Mozhenzhenclaude-opus-4-8 本次深度验真结果:High risk(57/100)。主要问题:问它是哪个型号时答案会变;同一个问题反复问,答案会变;它不报回用量,没法核对扣费。
Reported usage is used; estimates appear only when none is reported.
Several runs in a row to see whether repeated content is billed at the cheaper cache rate; 0% means no cache discount this time.
The endpoint reported real usage but no cached part; this seller may not offer cache pricing, or nothing hit the cache this time.
Review API availability, model identity, response completeness, and other checks separately.
主要问题:问它是哪个型号时答案会变;同一个问题反复问,答案会变;它不报回用量,没法核对扣费。
Expand any row for details; anything private has been removed
claude-opus-4-8 is visible in the API model list.
This test ran 29 times; result: Passed.
The basic API call succeeded and returned a recognizable response.
This test ran 1 times; result: Passed.
Asked the model to identify itself; all 1 responses matched the expected name.
This test ran 1 times: 1 passed. This test used 6.8K tokens
用几道题看它的回答水平像不像官方模型。 1 次都对。
This test ran 1 times: 1 passed. This test used 6.5K tokens
用几道题看它的回答水平像不像官方模型。 1 次都对。
This test ran 1 times: 1 passed. This test used 6.5K tokens
按官方接口的标准调用,看返回是否规范。 1 次都对。
This test ran 1 times: 1 passed. This test used 6.6K tokens
用几道题看它的回答水平像不像官方模型。 1 次都对。
This test ran 1 times: 1 passed. This test used 6.6K tokens
Asked the model to identify itself; all 1 responses matched the expected name.
This test ran 1 times: 1 passed. This test used 6.7K tokens
核对它报回来的用量和缓存计费。 有几次没对上。
This test ran 1 times: 1 need attention. Why it failed: Usage fields were not observable This test used 6.6K tokens
用几道题看它的回答水平像不像官方模型。 1 次都对。
This test ran 1 times: 1 passed. This test used 6.8K tokens
反复多问几次,看会不会答一半就断或偷偷换模型。 有几次没对上。
This test ran 2 times: 2 need attention. Why it failed: Retest consistency was insufficient This test used 13.3K tokens
Asked the model to identify itself; all 1 responses matched the expected name.
This test ran 1 times: 1 passed. This test used 6.7K tokens
用几道题看它的回答水平像不像官方模型。 1 次都对。
This test ran 1 times: 1 passed. This test used 6.6K tokens
问它自己是什么模型,看答案对不对。 有几次没对上。
This test ran 1 times: 1 need attention. Why it failed: Model-code anchoring was unstable This test used 6.7K tokens
问它自己是什么模型,看答案对不对。 有几次没对上。
This test ran 1 times: 1 need attention. Why it failed: Model-family identification was unstable This test used 6.6K tokens
用几道题看它的回答水平像不像官方模型。 有几次没对上。
This test ran 1 times: 1 need attention. Why it failed: Model-specific boundary response was unclear This test used 7.1K tokens
针对这个模型再做一项专门检测。 有几次没对上。
This test ran 5 times: 5 passed, 1 need attention. Why it failed: Cache-usage fields were not observable This test used 59.1K tokens
针对这个模型再做一项专门检测。 1 次都对。
This test ran 1 times: 1 passed. This test used 6.5K tokens
针对这个模型再做一项专门检测。 有几次没对上。
This test ran 1 times: 1 need attention. Why it failed: Claude thinking signature was not observable
针对这个模型再做一项专门检测。 1 次都对。
This test ran 1 times: 1 passed. This test used 6.5K tokens
针对这个模型再做一项专门检测。 1 次都对。
This test ran 1 times: 1 passed. This test used 7.1K tokens
针对这个模型再做一项专门检测。 有几次没对上。
This test ran 1 times: 1 need attention. Why it failed: Structured output was unstable This test used 6.6K tokens
还没有人评论,来写第一条。
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