Verification report details

Is gpt-5.6-luna genuine? Deep check result

Report ID MZZR202608060533233AE39EGenerated at 2026/08/06 13:33

Highly matched

gpt-5.6-luna 本次深度验真结果:Highly matched(100/100)。本轮主要检测项均已Passed。

100Model consistency score

All primary checks passed in this run.

Tested byMozhenzhen
Tested modelGPT-5.6 Luna
Providersmuziai.xyz
Requests37
Duration3 min 27 sec
Identity verdictVerified
ReferenceCPA 官方产品源

Token usage check

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

Reported usage555.5KThe actual usage reported by the API; this page goes by it.Estimated usage1.7MEstimated from this test's requests.Deviation67% 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 rate57.8%
Low cache share

Caching was used, but only a little; check your bill to see how much it really saves.

Usage this run14.6KCached tokens8.4KNon-cached tokens6.2KAverage per run2.9K
Usage reportedReportedCache billingHappenedResultNormal
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:缓存占比 0.0%,缓存 0 token,本次用量 3.0K token0.0%1times第 2 次:缓存占比 0.0%,缓存 0 token,本次用量 2.7K token0.0%2times第 3 次:缓存占比 94.2%,缓存 2.8K token,本次用量 3.0K token94.2%3times第 4 次:缓存占比 94.6%,缓存 2.8K token,本次用量 3.0K token94.6%4times第 5 次:缓存占比 94.6%,缓存 2.8K token,本次用量 3.0K token94.6%5times
Long-context test

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

6 tiers
Verified up to 400K

800K 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 lengths32K / 64K / 100K / 200K / 400K / 800KTests begin at the longest generated context and step down to verify stable, correct responses.
Current guidance

The 800K 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

Highly matched100/100

All primary checks passed in this run.

Can you call it, and is the model listed10 / 10
No deductions
Does the API respond properly12 / 12
No deductions
Is it the model it claims to be18 / 18
No deductions
Does it answer like the official model25 / 25
No deductions
Is usage and billing reasonable10 / 10
No deductions
Will it keep working25 / 25
No deductions

Test details

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

27 checks
Model list visibility

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

Passed
Test details
This test ran 6 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 4.6K 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。 1 次都对。

Passed
Test details
This test ran 1 times: 1 passed.
This test used 26 tokens
JSON 结构

用几道题看它的回答水平像不像官方模型。 1 次都对。

Passed
Test details
This test ran 1 times: 1 passed.
This test used 4.4K tokens
of which 3.8K tokens were billed at the cache price
标签结构复述

按官方接口的标准调用,看返回是否规范。 1 次都对。

Passed
Test details
This test ran 1 times: 1 passed.
This test used 92 tokens
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。 1 次都对。

Passed
Test details
This test ran 1 times: 1 passed.
This test used 366 tokens
品牌边界

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 80 tokens
用量数据是否完整

核对它报回来的用量和缓存计费。 1 次都对。

Passed
Test details
This test ran 1 times: 1 passed.
This test used 336 tokens
逻辑网格推理

用几道题看它的回答水平像不像官方模型。 1 次都对。

Passed
Test details
This test ran 1 times: 1 passed.
This test used 569 tokens
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。 2 次都对。

Passed
Test details
This test ran 2 times: 2 passed.
This test used 383 tokens
OpenAI 身份与安全边界

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 130 tokens
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。 1 次都对。

Passed
Test details
This test ran 1 times: 1 passed.
This test used 360 tokens
模型代码锚定

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 132 tokens
Model-family test: series and tier 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 398 tokens
Deep model test: family-specific boundary

用几道题看它的回答水平像不像官方模型。 1 次都对。

Passed
Test details
This test ran 1 times: 1 passed.
This test used 481 tokens
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。 1 次都对。

Passed
Test details
This test ran 1 times: 1 passed.
This test used 4.4K tokens
of which 3.8K tokens were billed at the cache price
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。 1 次都对。

Passed
Test details
This test ran 1 times: 1 passed.
This test used 324 tokens
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。 1 次都对。

Passed
Test details
This test ran 1 times: 1 passed.
This test used 4.5K tokens
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。 1 次都对。

Passed
Test details
This test ran 1 times: 1 passed.
This test used 424 tokens
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。 5 次都对。

Passed
Test details
This test ran 5 times: 5 passed.
This test used 14.6K tokens
of which 8.4K tokens were billed at the cache price
32K 上下文能力实测

32K 长度的内容能稳定读完,这就是本次上下文实测的依据。

Passed
Test details
This test ran 1 times: 1 passed.
Content length used: 32K
This test used 21.1K tokens
64K 上下文能力实测

64K 长度的内容能稳定读完,这就是本次上下文实测的依据。

Passed
Test details
This test ran 1 times: 1 passed.
Content length used: 64K
This test used 41.5K tokens
100K 上下文能力实测

100K 长度的内容能稳定读完,这就是本次上下文实测的依据。

Passed
Test details
This test ran 1 times: 1 passed.
Content length used: 100K
This test used 68.2K tokens
of which 3.8K tokens were billed at the cache price
200K 上下文能力实测

200K 长度的内容能稳定读完,这就是本次上下文实测的依据。

Passed
Test details
This test ran 1 times: 1 passed.
Content length used: 200K
This test used 132.1K tokens
of which 3.8K tokens were billed at the cache price
400K 上下文能力实测

400K 长度的内容能稳定读完,这就是本次上下文实测的依据。

Passed
Test details
This test ran 1 times: 1 passed.
Content length used: 400K
This test used 255.7K tokens
800K 上下文能力实测

800K 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: 800K

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:MZZR202608060533233AE39EGenerated at:2026/08/06 13:33
Provider detailsAI model details
Model consistency score

Highly matched

gpt-5.6-luna 本次深度验真结果:Highly matched(100/100)。本轮主要检测项均已Passed。

Tested byMozhenzhen
Tested modelGPT-5.6 Luna
Providersmuziai.xyz
Requests37
Duration3 min
Identity verdictVerified
ReferenceCPA 官方产品源

Token usage check

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

Reported usage555.5KThe actual usage reported by the API; this page goes by it.Estimated usage1.7MEstimated from this test's requests.Deviation67% 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 rate57.8%
Low cache share

Caching was used, but only a little; check your bill to see how much it really saves.

Usage this run14.6KCached tokens8.4KNon-cached tokens6.2KAverage per run2.9K
Usage reportedReportedCache billingHappenedResultNormal
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:缓存占比 0.0%,缓存 0 token,本次用量 3.0K token0.0%1times第 2 次:缓存占比 0.0%,缓存 0 token,本次用量 2.7K token0.0%2times第 3 次:缓存占比 94.2%,缓存 2.8K token,本次用量 3.0K token94.2%3times第 4 次:缓存占比 94.6%,缓存 2.8K token,本次用量 3.0K token94.6%4times第 5 次:缓存占比 94.6%,缓存 2.8K token,本次用量 3.0K token94.6%5times
Long-context test

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

6 tiers
Verified up to 400K

800K 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 lengths32K / 64K / 100K / 200K / 400K / 800KTests begin at the longest generated context and step down to verify stable, correct responses.
Current guidance

The 800K 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

Highly matched100/100

All primary checks passed in this run.

Can you call it, and is the model listed10 / 10
No deductions
Does the API respond properly12 / 12
No deductions
Is it the model it claims to be18 / 18
No deductions
Does it answer like the official model25 / 25
No deductions
Is usage and billing reasonable10 / 10
No deductions
Will it keep working25 / 25
No deductions

Test details

Expand any row for details; anything private has been removed

27 checks
Model list visibility

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

Passed
Test details
This test ran 6 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 4.6K 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。 1 次都对。

Passed
Test details
This test ran 1 times: 1 passed.
This test used 26 tokens
JSON 结构

用几道题看它的回答水平像不像官方模型。 1 次都对。

Passed
Test details
This test ran 1 times: 1 passed.
This test used 4.4K tokens
of which 3.8K tokens were billed at the cache price
标签结构复述

按官方接口的标准调用,看返回是否规范。 1 次都对。

Passed
Test details
This test ran 1 times: 1 passed.
This test used 92 tokens
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。 1 次都对。

Passed
Test details
This test ran 1 times: 1 passed.
This test used 366 tokens
品牌边界

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 80 tokens
用量数据是否完整

核对它报回来的用量和缓存计费。 1 次都对。

Passed
Test details
This test ran 1 times: 1 passed.
This test used 336 tokens
逻辑网格推理

用几道题看它的回答水平像不像官方模型。 1 次都对。

Passed
Test details
This test ran 1 times: 1 passed.
This test used 569 tokens
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。 2 次都对。

Passed
Test details
This test ran 2 times: 2 passed.
This test used 383 tokens
OpenAI 身份与安全边界

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 130 tokens
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。 1 次都对。

Passed
Test details
This test ran 1 times: 1 passed.
This test used 360 tokens
模型代码锚定

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 132 tokens
Model-family test: series and tier 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 398 tokens
Deep model test: family-specific boundary

用几道题看它的回答水平像不像官方模型。 1 次都对。

Passed
Test details
This test ran 1 times: 1 passed.
This test used 481 tokens
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。 1 次都对。

Passed
Test details
This test ran 1 times: 1 passed.
This test used 4.4K tokens
of which 3.8K tokens were billed at the cache price
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。 1 次都对。

Passed
Test details
This test ran 1 times: 1 passed.
This test used 324 tokens
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。 1 次都对。

Passed
Test details
This test ran 1 times: 1 passed.
This test used 4.5K tokens
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。 1 次都对。

Passed
Test details
This test ran 1 times: 1 passed.
This test used 424 tokens
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。 5 次都对。

Passed
Test details
This test ran 5 times: 5 passed.
This test used 14.6K tokens
of which 8.4K tokens were billed at the cache price
32K 上下文能力实测

32K 长度的内容能稳定读完,这就是本次上下文实测的依据。

Passed
Test details
This test ran 1 times: 1 passed.
Content length used: 32K
This test used 21.1K tokens
64K 上下文能力实测

64K 长度的内容能稳定读完,这就是本次上下文实测的依据。

Passed
Test details
This test ran 1 times: 1 passed.
Content length used: 64K
This test used 41.5K tokens
100K 上下文能力实测

100K 长度的内容能稳定读完,这就是本次上下文实测的依据。

Passed
Test details
This test ran 1 times: 1 passed.
Content length used: 100K
This test used 68.2K tokens
of which 3.8K tokens were billed at the cache price
200K 上下文能力实测

200K 长度的内容能稳定读完,这就是本次上下文实测的依据。

Passed
Test details
This test ran 1 times: 1 passed.
Content length used: 200K
This test used 132.1K tokens
of which 3.8K tokens were billed at the cache price
400K 上下文能力实测

400K 长度的内容能稳定读完,这就是本次上下文实测的依据。

Passed
Test details
This test ran 1 times: 1 passed.
Content length used: 400K
This test used 255.7K tokens
800K 上下文能力实测

800K 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: 800K

Reviews

还没有人评论,来写第一条。

发表评论