Verification report details
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Is gpt-6-astra genuine? Standard check result

Report ID MZZR202609151900133FD69BGenerated at 2026/09/16 03:00

Insufficient evidence to determine

Insufficient evidence to determine model identity. API, speed, tool, and token observations are recorded separately and do not establish identity.

Insufficient evidenceEvidence status

All primary checks passed in this run.

EvaluatorMozhenzhen
Tested modelGPT-6 Astra
Providerskuai.host
Times tested21
Duration1 min 45 sec
Identity verdictInsufficient evidence to determine
Tested againstFixed-provider references and independent calibration

Model reference evidence

The available reference cannot establish model identity. Review the API and capability results for this test.

Model self-identification and individual answers do not establish authenticity. Official references only reflect API behavior at the time of sampling.

Service performance score100 / 100 · Not used to establish model identity

Rule version2026-09-14.v1

Token usage

We show the usage the endpoint reported itself; estimates appear only when there is no real number.

Observed usage20.8KThis is the real usage the endpoint reported itself, and the main number this page goes by.Usage estimated from the questions53.8KWhen the vendor gives no reference, we estimate from the questions we asked.Variance assessment61% belowIt reported less usage than we estimated; this seller may count or compress differently.Usage conclusionLess than estimatedThis is only the usage the endpoint reported; what you actually pay is on the bill.
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.

Tested 5 times
Share billed at the cache rate0.0%
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.

Usage this run14.0KCached tokens0Non-cached tokens14.0KAverage per run2.8K
Token usage recordReturnedCache discount没有ResultNeeds review
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 2.8K token0.0%1times第 2 次:缓存占比 0.0%,缓存 0 token,本次用量 2.8K token0.0%2times第 3 次:缓存占比 0.0%,缓存 0 token,本次用量 2.8K token0.0%3times第 4 次:缓存占比 0.0%,缓存 0 token,本次用量 2.8K token0.0%4times第 5 次:缓存占比 0.0%,缓存 0 token,本次用量 2.8K token0.0%5times
A newer report is availableThis report has been superseded by a later retest. View the latest report

Test details

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

16 checks
Model list visibility

gpt-6-astra is visible in the API model list.

Passed
Test details
这题测了 2 次,结果:Passed。
Basic call probe

The basic API call succeeded and returned a recognizable response.

Passed
Test details
这题测了 1 次,结果:Passed。
Model self-identification

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

Passed
Test details
这题测了 1 次:1 次Passed。
本题用量 256 token
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
这题测了 1 次:1 次Passed。
本题用量 162 token
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
这题测了 1 次:1 次Passed。
本题用量 4.2K token
其中按缓存价计费 3.8K token
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
这题测了 1 次:1 次Passed。
本题用量 222 token
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
这题测了 1 次:1 次Passed。
本题用量 195 token
品牌边界

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

Passed
Test details
这题测了 1 次:1 次Passed。
本题用量 214 token
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
这题测了 1 次:1 次Passed。
本题用量 177 token
OpenAI 身份与安全边界

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

Passed
Test details
这题测了 1 次:1 次Passed。
本题用量 215 token
模型代码锚定

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

Passed
Test details
这题测了 1 次:1 次Passed。
本题用量 246 token
Model-family test: series and tier identification

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

Passed
Test details
这题测了 1 次:1 次Passed。
本题用量 224 token
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。 1 次都对。

Passed
Test details
这题测了 1 次:1 次Passed。
本题用量 161 token
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。 1 次都对。

Passed
Test details
这题测了 1 次:1 次Passed。
本题用量 165 token
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。 1 次都对。

Passed
Test details
这题测了 1 次:1 次Passed。
本题用量 232 token
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 次里对了 5 次。

Needs review
Test details
这题测了 5 次:5 次Passed,1 次要留意。
没Passed的原因:缓存用量字段不可观测
本题用量 14.0K token

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Model and generation checks · Conclusions based on this test

Is gpt-6-astra genuine? Standard check result

Report ID:MZZR202609151900133FD69BGenerated at2026/09/16 03:00
Evidence status

Insufficient evidence to determine

Insufficient evidence to determine model identity. API, speed, tool, and token observations are recorded separately and do not establish identity.

EvaluatorMozhenzhen
Tested modelGPT-6 Astra
Providerskuai.host
Times tested21
Duration2 min
Identity verdictInsufficient evidence to determine
Tested againstFixed-provider references and independent calibration

Model reference evidence

The available reference cannot establish model identity. Review the API and capability results for this test.

Model self-identification and individual answers do not establish authenticity. Official references only reflect API behavior at the time of sampling.

Service performance score100 / 100 · Not used to establish model identity

Rule version2026-09-14.v1

Token usage

We show the usage the endpoint reported itself; estimates appear only when there is no real number.

Observed usage20.8KThis is the real usage the endpoint reported itself, and the main number this page goes by.Usage estimated from the questions53.8KWhen the vendor gives no reference, we estimate from the questions we asked.Variance assessment61% belowIt reported less usage than we estimated; this seller may count or compress differently.Usage conclusionLess than estimatedThis is only the usage the endpoint reported; what you actually pay is on the bill.
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.

Tested 5 times
Share billed at the cache rate0.0%
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.

Usage this run14.0KCached tokens0Non-cached tokens14.0KAverage per run2.8K
Token usage recordReturnedCache discount没有ResultNeeds review
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 2.8K token0.0%1times第 2 次:缓存占比 0.0%,缓存 0 token,本次用量 2.8K token0.0%2times第 3 次:缓存占比 0.0%,缓存 0 token,本次用量 2.8K token0.0%3times第 4 次:缓存占比 0.0%,缓存 0 token,本次用量 2.8K token0.0%4times第 5 次:缓存占比 0.0%,缓存 0 token,本次用量 2.8K token0.0%5times
A newer report is availableThis report has been superseded by a later retest. View the latest report

Test details

Expand any row for details; anything private has been removed

16 checks
Model list visibility

gpt-6-astra is visible in the API model list.

Passed
Test details
这题测了 2 次,结果:Passed。
Basic call probe

The basic API call succeeded and returned a recognizable response.

Passed
Test details
这题测了 1 次,结果:Passed。
Model self-identification

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

Passed
Test details
这题测了 1 次:1 次Passed。
本题用量 256 token
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
这题测了 1 次:1 次Passed。
本题用量 162 token
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
这题测了 1 次:1 次Passed。
本题用量 4.2K token
其中按缓存价计费 3.8K token
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
这题测了 1 次:1 次Passed。
本题用量 222 token
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
这题测了 1 次:1 次Passed。
本题用量 195 token
品牌边界

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

Passed
Test details
这题测了 1 次:1 次Passed。
本题用量 214 token
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
这题测了 1 次:1 次Passed。
本题用量 177 token
OpenAI 身份与安全边界

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

Passed
Test details
这题测了 1 次:1 次Passed。
本题用量 215 token
模型代码锚定

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

Passed
Test details
这题测了 1 次:1 次Passed。
本题用量 246 token
Model-family test: series and tier identification

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

Passed
Test details
这题测了 1 次:1 次Passed。
本题用量 224 token
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。 1 次都对。

Passed
Test details
这题测了 1 次:1 次Passed。
本题用量 161 token
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。 1 次都对。

Passed
Test details
这题测了 1 次:1 次Passed。
本题用量 165 token
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。 1 次都对。

Passed
Test details
这题测了 1 次:1 次Passed。
本题用量 232 token
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 次里对了 5 次。

Needs review
Test details
这题测了 5 次:5 次Passed,1 次要留意。
没Passed的原因:缓存用量字段不可观测
本题用量 14.0K token

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