Verification report details

Is gpt-5.6-luna genuine? Deep check result

Report ID MZZR20260804112913CDAE19Generated at 2026/08/04 19:29

Suspected impersonation / unavailable

gpt-5.6-luna 本次深度验真结果:疑似假冒 / 不可用(15/100)。主要问题:复杂推理题答得不稳;问它是哪个型号时答案会变;接口返回的格式不规范。

15Model consistency score

主要问题:复杂推理题答得不稳;问它是哪个型号时答案会变;接口返回的格式不规范。

Tested byMozhenzhen
Tested modelGPT-5.6 Luna
Providerslingsu.xyz
Requests45
Duration27 sec
Identity verdictNot verified
ReferenceCPA 官方产品源

Token usage check

Reported usage is used; estimates appear only when none is reported.

Reported usage9.0KThe actual usage reported by the API; this page goes by it.Estimated usage1.7MEstimated from this test's requests.Deviation99% belowThe reported usage is below the estimate, possibly because of how tokens are counted or compressed.Usage checkBelow the estimateFigures are as reported by the API; your bill is authoritative.
Token cache usage test

Several runs in a row to see whether repeated content is billed at the cheaper cache rate; 0% means no cache discount this time.

Total 5 request
Share billed at the cache rate--
No usage record

This provider's endpoint does not report usage reliably; check it against your bill.

Usage this run0Cached tokens0Non-cached tokens0Average per run0
Usage reportedNot reportedCache billingDid not happenResult不可观测
Cache share by testThis is only the cache share the endpoint reported; the real discount is on the bill
100%75%50%25%0第 1 次:没有返回用量未返回1times第 2 次:没有返回用量未返回2times第 3 次:没有返回用量未返回3times第 4 次:没有返回用量未返回4times第 5 次:没有返回用量未返回5times
Long-context test

We test how much it can read at once, then compare that with the officially stated length.

1 tiers
Boundary at 32K

32K 需要关注,原因:上下文保持较弱。

Reference windowReference window 1MModel-center context window; available lengths may vary by provider.Tested context lengths32KTests begin at the longest generated context and step down to verify stable, correct responses.
Current guidance

The 32K tier did not return reliably this time; do not rely on this length.

Results for this test

Review API availability, model identity, response completeness, and other checks separately.

Scoring breakdown

Suspected impersonation / unavailable15/100

主要问题:复杂推理题答得不稳;问它是哪个型号时答案会变;接口返回的格式不规范。

Can you call it, and is the model listed10 / 10
No deductions
Does the API respond properly0 / 12
接口返回的格式不规范(按官方接口标准调用:OpenAI Responses、让它调用工具,返回格式对不对) -7让它原样复述结构时会出错(标签结构复述) -5
Is it the model it claims to be0 / 18
会含糊地把自己说成官方原厂(品牌边界、OpenAI 身份与安全边界) -4问它是哪个型号时答案会变(模型代码锚定) -10分不清自己属于哪一代模型(模型族题:系列和档位识别) -4
Does it answer like the official model0 / 25
不太听指令,让它怎么答它不照做(指令跟随) -8复杂推理题答得不稳(逻辑网格推理) -10问它是哪个型号时答案会变(模型代码锚定) -3这个型号该有的特点答不上来(深度模型题:模型族专属边界) -3问到不该说的内容时把握不住分寸(隐藏提示词边界) -1
Is usage and billing reasonable5 / 10
它不报回用量,没法核对扣费(用量数据是否完整) -5
Will it keep working0 / 25
同一个问题反复问,答案会变(复测一致性) -9复杂推理题答得不稳(逻辑网格推理) -4问到不该说的内容时把握不住分寸(隐藏提示词边界) -3接口返回的格式不规范(按官方接口标准调用:OpenAI Responses、让它调用工具,返回格式对不对) -3边打字边回和一次性回,结果不一样(边打字边回和一次性回,结果一样吗) -6

Test details

Expand any row for details; anything private has been removed.

22 checks
Model list visibility

gpt-5.6-luna is visible in the API model list.

Passed
Test details
This test ran 19 times; result: Passed.
Basic call probe

The basic API call succeeded and returned a recognizable response.

Passed
Test details
This test ran 1 times; result: Passed.
Model self-identification

Asked the model to identify itself; all 1 responses matched the expected name.

Passed
Test details
This test ran 1 times: 1 passed.
This test used 4.5K tokens
of which 3.8K tokens were billed at the cache price
指令跟随

用几道题看它的回答水平像不像官方模型。 有几次没对上。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Instruction following was unstable
JSON 结构

用几道题看它的回答水平像不像官方模型。 有几次没对上。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Structured output was unstable
标签结构复述

按官方接口的标准调用,看返回是否规范。 有几次没对上。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Tag-structure repetition was unstable
隐藏提示词边界

用几道题看它的回答水平像不像官方模型。 有几次没对上。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Hidden-prompt boundary was unclear
品牌边界

问它自己是什么模型,看答案对不对。 有几次没对上。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Brand-boundary response was unclear
用量数据是否完整

核对它报回来的用量和缓存计费。 有几次没对上。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Usage fields were not observable
逻辑网格推理

用几道题看它的回答水平像不像官方模型。 有几次没对上。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Logic-grid reasoning was unstable
复测一致性

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。

Needs review
Test details
This test ran 2 times: 2 need attention.
Why it failed: Retest consistency was insufficient
OpenAI 身份与安全边界

问它自己是什么模型,看答案对不对。 有几次没对上。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Brand-boundary response was unclear
OpenAI 身份与安全边界

用几道题看它的回答水平像不像官方模型。 有几次没对上。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Brand-boundary response was unclear
模型代码锚定

问它自己是什么模型,看答案对不对。 有几次没对上。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Model-code anchoring was unstable
Model-family test: series and tier identification

问它自己是什么模型,看答案对不对。 有几次没对上。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Model-family identification was unstable
Deep model test: family-specific boundary

用几道题看它的回答水平像不像官方模型。 有几次没对上。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Model-specific boundary response was unclear
按官方接口标准调用:OpenAI Responses

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。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Protocol structure was unstable
边打字边回和一次性回,结果一样吗

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。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Streaming and non-streaming results were inconsistent
让它调用工具,返回格式对不对

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。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Protocol structure was unstable
让它按指定格式输出,格式兑现了吗

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。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Structured output was unstable
连问 5 次,重复内容有没有按缓存价计费

针对这个模型再做一项专门检测。 有几次没对上。

Needs review
Test details
This test ran 5 times: 5 need attention.
Why it failed: Cache-usage fields were not observable
32K 上下文能力实测

32K 长度的内容没能稳定读完,这次就记到这里为止。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Context retention was weak
Content length used: 32K

Reviews

还没有人评论,来写第一条。

发表评论

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Mozhenzhen verification report · Measured with real calls

Is gpt-5.6-luna genuine? Deep check result

Report ID:MZZR20260804112913CDAE19Generated at:2026/08/04 19:29
Provider detailsAI model details
Model consistency score

Suspected impersonation / unavailable

gpt-5.6-luna 本次深度验真结果:疑似假冒 / 不可用(15/100)。主要问题:复杂推理题答得不稳;问它是哪个型号时答案会变;接口返回的格式不规范。

Tested byMozhenzhen
Tested modelGPT-5.6 Luna
Providerslingsu.xyz
Requests45
Duration27 sec
Identity verdictNot verified
ReferenceCPA 官方产品源

Token usage check

Reported usage is used; estimates appear only when none is reported.

Reported usage9.0KThe actual usage reported by the API; this page goes by it.Estimated usage1.7MEstimated from this test's requests.Deviation99% belowThe reported usage is below the estimate, possibly because of how tokens are counted or compressed.Usage checkBelow the estimateFigures are as reported by the API; your bill is authoritative.
Token cache usage test

Several runs in a row to see whether repeated content is billed at the cheaper cache rate; 0% means no cache discount this time.

Total 5 request
Share billed at the cache rate--
No usage record

This provider's endpoint does not report usage reliably; check it against your bill.

Usage this run0Cached tokens0Non-cached tokens0Average per run0
Usage reportedNot reportedCache billingDid not happenResult不可观测
Cache share by testThis is only the cache share the endpoint reported; the real discount is on the bill
100%75%50%25%0第 1 次:没有返回用量未返回1times第 2 次:没有返回用量未返回2times第 3 次:没有返回用量未返回3times第 4 次:没有返回用量未返回4times第 5 次:没有返回用量未返回5times
Long-context test

We test how much it can read at once, then compare that with the officially stated length.

1 tiers
Boundary at 32K

32K 需要关注,原因:上下文保持较弱。

Reference windowReference window 1MModel-center context window; available lengths may vary by provider.Tested context lengths32KTests begin at the longest generated context and step down to verify stable, correct responses.
Current guidance

The 32K tier did not return reliably this time; do not rely on this length.

Results for this test

Review API availability, model identity, response completeness, and other checks separately.

Scoring breakdown

Suspected impersonation / unavailable15/100

主要问题:复杂推理题答得不稳;问它是哪个型号时答案会变;接口返回的格式不规范。

Can you call it, and is the model listed10 / 10
No deductions
Does the API respond properly0 / 12
接口返回的格式不规范(按官方接口标准调用:OpenAI Responses、让它调用工具,返回格式对不对) -7让它原样复述结构时会出错(标签结构复述) -5
Is it the model it claims to be0 / 18
会含糊地把自己说成官方原厂(品牌边界、OpenAI 身份与安全边界) -4问它是哪个型号时答案会变(模型代码锚定) -10分不清自己属于哪一代模型(模型族题:系列和档位识别) -4
Does it answer like the official model0 / 25
不太听指令,让它怎么答它不照做(指令跟随) -8复杂推理题答得不稳(逻辑网格推理) -10问它是哪个型号时答案会变(模型代码锚定) -3这个型号该有的特点答不上来(深度模型题:模型族专属边界) -3问到不该说的内容时把握不住分寸(隐藏提示词边界) -1
Is usage and billing reasonable5 / 10
它不报回用量,没法核对扣费(用量数据是否完整) -5
Will it keep working0 / 25
同一个问题反复问,答案会变(复测一致性) -9复杂推理题答得不稳(逻辑网格推理) -4问到不该说的内容时把握不住分寸(隐藏提示词边界) -3接口返回的格式不规范(按官方接口标准调用:OpenAI Responses、让它调用工具,返回格式对不对) -3边打字边回和一次性回,结果不一样(边打字边回和一次性回,结果一样吗) -6

Test details

Expand any row for details; anything private has been removed

22 checks
Model list visibility

gpt-5.6-luna is visible in the API model list.

Passed
Test details
This test ran 19 times; result: Passed.
Basic call probe

The basic API call succeeded and returned a recognizable response.

Passed
Test details
This test ran 1 times; result: Passed.
Model self-identification

Asked the model to identify itself; all 1 responses matched the expected name.

Passed
Test details
This test ran 1 times: 1 passed.
This test used 4.5K tokens
of which 3.8K tokens were billed at the cache price
指令跟随

用几道题看它的回答水平像不像官方模型。 有几次没对上。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Instruction following was unstable
JSON 结构

用几道题看它的回答水平像不像官方模型。 有几次没对上。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Structured output was unstable
标签结构复述

按官方接口的标准调用,看返回是否规范。 有几次没对上。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Tag-structure repetition was unstable
隐藏提示词边界

用几道题看它的回答水平像不像官方模型。 有几次没对上。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Hidden-prompt boundary was unclear
品牌边界

问它自己是什么模型,看答案对不对。 有几次没对上。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Brand-boundary response was unclear
用量数据是否完整

核对它报回来的用量和缓存计费。 有几次没对上。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Usage fields were not observable
逻辑网格推理

用几道题看它的回答水平像不像官方模型。 有几次没对上。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Logic-grid reasoning was unstable
复测一致性

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。

Needs review
Test details
This test ran 2 times: 2 need attention.
Why it failed: Retest consistency was insufficient
OpenAI 身份与安全边界

问它自己是什么模型,看答案对不对。 有几次没对上。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Brand-boundary response was unclear
OpenAI 身份与安全边界

用几道题看它的回答水平像不像官方模型。 有几次没对上。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Brand-boundary response was unclear
模型代码锚定

问它自己是什么模型,看答案对不对。 有几次没对上。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Model-code anchoring was unstable
Model-family test: series and tier identification

问它自己是什么模型,看答案对不对。 有几次没对上。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Model-family identification was unstable
Deep model test: family-specific boundary

用几道题看它的回答水平像不像官方模型。 有几次没对上。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Model-specific boundary response was unclear
按官方接口标准调用:OpenAI Responses

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。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Protocol structure was unstable
边打字边回和一次性回,结果一样吗

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。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Streaming and non-streaming results were inconsistent
让它调用工具,返回格式对不对

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。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Protocol structure was unstable
让它按指定格式输出,格式兑现了吗

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。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Structured output was unstable
连问 5 次,重复内容有没有按缓存价计费

针对这个模型再做一项专门检测。 有几次没对上。

Needs review
Test details
This test ran 5 times: 5 need attention.
Why it failed: Cache-usage fields were not observable
32K 上下文能力实测

32K 长度的内容没能稳定读完,这次就记到这里为止。

Needs review
Test details
This test ran 1 times: 1 need attention.
Why it failed: Context retention was weak
Content length used: 32K

Reviews

还没有人评论,来写第一条。

发表评论