Is deepseek-v4-flash genuine? Deep check result
Matched
deepseek-v4-flash 本次深度验真结果:Matched(94/100)。主要问题:有个别项需要再复核;看不到缓存用量,享受不到缓存优惠也查不出来。
主要问题:有个别项需要再复核;看不到缓存用量,享受不到缓存优惠也查不出来。
deepseek-v4-flash 本次深度验真结果:Matched(94/100)。主要问题:有个别项需要再复核;看不到缓存用量,享受不到缓存优惠也查不出来。
主要问题:有个别项需要再复核;看不到缓存用量,享受不到缓存优惠也查不出来。
Reported usage is used; estimates appear only when none is reported.
We test how much it can read at once, then compare that with the officially stated length.
400K 需要关注,原因:上下文保持较弱。
The 400K tier did not return reliably this time; do not rely on this length.
Review API availability, model identity, response completeness, and other checks separately.
主要问题:有个别项需要再复核;看不到缓存用量,享受不到缓存优惠也查不出来。
Expand any row for details; anything private has been removed.
deepseek-v4-flash is visible in the API model list.
This test ran 8 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 106 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 36 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 44 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 85 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 60 tokens
Asked the model to identify itself; all 1 responses matched the expected name.
This test ran 1 times: 1 passed. This test used 89 tokens
核对它报回来的用量和缓存计费。 1 次都对。
This test ran 1 times: 1 passed. This test used 50 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 203 tokens
反复多问几次,看会不会答一半就断或偷偷换模型。 2 次都对。
This test ran 2 times: 2 passed. This test used 86 tokens
Asked the model to identify itself; all 1 responses matched the expected name.
This test ran 1 times: 1 passed. This test used 97 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 387 tokens
Asked the model to identify itself; all 1 responses matched the expected name.
This test ran 1 times: 1 passed. This test used 114 tokens
Asked the model to identify itself; all 1 responses matched the expected name.
This test ran 1 times: 1 passed. This test used 97 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 138 tokens
对照官方公开的产品说明来测。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 13.4K tokens
32K 长度的内容能稳定读完,这就是本次上下文实测的依据。
This test ran 1 times: 1 passed. Content length used: 32K This test used 16.7K tokens
64K 长度的内容能稳定读完,这就是本次上下文实测的依据。
This test ran 1 times: 1 passed. Content length used: 64K This test used 33.3K tokens
100K 长度的内容能稳定读完,这就是本次上下文实测的依据。
This test ran 1 times: 1 passed. Content length used: 100K This test used 51.2K tokens
200K 长度的内容能稳定读完,这就是本次上下文实测的依据。
This test ran 1 times: 1 passed. Content length used: 200K This test used 102.3K tokens
400K 长度的内容没能稳定读完,这次就记到这里为止。
This test ran 1 times: 1 need attention. Why it failed: Context retention was weak Content length used: 400K
还没有人评论,来写第一条。
Before you buy AI, check Mozhenzhendeepseek-v4-flash 本次深度验真结果:Matched(94/100)。主要问题:有个别项需要再复核;看不到缓存用量,享受不到缓存优惠也查不出来。
Reported usage is used; estimates appear only when none is reported.
We test how much it can read at once, then compare that with the officially stated length.
400K 需要关注,原因:上下文保持较弱。
The 400K tier did not return reliably this time; do not rely on this length.
Review API availability, model identity, response completeness, and other checks separately.
主要问题:有个别项需要再复核;看不到缓存用量,享受不到缓存优惠也查不出来。
Expand any row for details; anything private has been removed
deepseek-v4-flash is visible in the API model list.
This test ran 8 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 106 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 36 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 44 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 85 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 60 tokens
Asked the model to identify itself; all 1 responses matched the expected name.
This test ran 1 times: 1 passed. This test used 89 tokens
核对它报回来的用量和缓存计费。 1 次都对。
This test ran 1 times: 1 passed. This test used 50 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 203 tokens
反复多问几次,看会不会答一半就断或偷偷换模型。 2 次都对。
This test ran 2 times: 2 passed. This test used 86 tokens
Asked the model to identify itself; all 1 responses matched the expected name.
This test ran 1 times: 1 passed. This test used 97 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 387 tokens
Asked the model to identify itself; all 1 responses matched the expected name.
This test ran 1 times: 1 passed. This test used 114 tokens
Asked the model to identify itself; all 1 responses matched the expected name.
This test ran 1 times: 1 passed. This test used 97 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 138 tokens
对照官方公开的产品说明来测。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 13.4K tokens
32K 长度的内容能稳定读完,这就是本次上下文实测的依据。
This test ran 1 times: 1 passed. Content length used: 32K This test used 16.7K tokens
64K 长度的内容能稳定读完,这就是本次上下文实测的依据。
This test ran 1 times: 1 passed. Content length used: 64K This test used 33.3K tokens
100K 长度的内容能稳定读完,这就是本次上下文实测的依据。
This test ran 1 times: 1 passed. Content length used: 100K This test used 51.2K tokens
200K 长度的内容能稳定读完,这就是本次上下文实测的依据。
This test ran 1 times: 1 passed. Content length used: 200K This test used 102.3K tokens
400K 长度的内容没能稳定读完,这次就记到这里为止。
This test ran 1 times: 1 need attention. Why it failed: Context retention was weak Content length used: 400K
还没有人评论,来写第一条。
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