Verification report details

Is gpt-5.3-codex-spark genuine? Quick check result

Report ID MZZR2026070802415052E783Generated at 2026/07/08 10:41

Highly matched

gpt-5.3-codex-spark 本次快速验真结果: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-5.3 Codex Spark
ProvidersConeverse AI
Requests14
Duration58 sec
Identity verdictVerified
ReferenceMozhenzhen's own test standard
A newer test record is availableThis report preserves the result at the time of testing and remains valid as a record. You can also view the newer report。

Token usage check

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

Reported usage35.5KThe actual usage reported by the API; this page goes by it.Estimated usage176.8KEstimated from this test's requests.Deviation80% 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 rate18.2%
Low cache share

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

Usage this run14.1KCached tokens2.6KNon-cached tokens11.5KAverage per run2.8K
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 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 90.0%,缓存 2.6K token,本次用量 2.8K token90.0%4times第 5 次:缓存占比 0.0%,缓存 0 token,本次用量 2.8K token0.0%5times
Long-context test

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

2 tiers
Verified up to 32K

64K 需要关注,原因:接口服务异常。

Reference windowReference window 128KModel-center context window; available lengths may vary by provider.Tested context lengths32K / 64KTests begin at the longest generated context and step down to verify stable, correct responses.
Current guidance

The 64K 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 listed30 / 30
No deductions
Does the most basic call work25 / 25
No deductions
Is it the model it claims to be25 / 25
No deductions
Will it keep working20 / 20
No deductions

Test details

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

6 checks
Model list visibility

gpt-5.3-codex-spark is visible in the API model list.

Passed
Test details
This test ran 5 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 503 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 14.1K tokens
of which 2.6K 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 20.8K tokens
64K 上下文能力实测

64K 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: API service error
Content length used: 64K

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-5.3-codex-spark genuine? Quick check result

Report ID:MZZR2026070802415052E783Generated at:2026/07/08 10:41
Provider detailsAI model details
A newer test record is availableThis report preserves the result at the time of testing and remains valid as a record. You can also view the newer report。
Model consistency score

Highly matched

gpt-5.3-codex-spark 本次快速验真结果:Highly matched(100/100)。本轮主要检测项均已Passed。

Tested byMozhenzhen
Tested modelGPT-5.3 Codex Spark
ProvidersConeverse AI
Requests14
Duration58 sec
Identity verdictVerified
ReferenceMozhenzhen's own test standard

Token usage check

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

Reported usage35.5KThe actual usage reported by the API; this page goes by it.Estimated usage176.8KEstimated from this test's requests.Deviation80% 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 rate18.2%
Low cache share

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

Usage this run14.1KCached tokens2.6KNon-cached tokens11.5KAverage per run2.8K
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 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 90.0%,缓存 2.6K token,本次用量 2.8K token90.0%4times第 5 次:缓存占比 0.0%,缓存 0 token,本次用量 2.8K token0.0%5times
Long-context test

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

2 tiers
Verified up to 32K

64K 需要关注,原因:接口服务异常。

Reference windowReference window 128KModel-center context window; available lengths may vary by provider.Tested context lengths32K / 64KTests begin at the longest generated context and step down to verify stable, correct responses.
Current guidance

The 64K 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 listed30 / 30
No deductions
Does the most basic call work25 / 25
No deductions
Is it the model it claims to be25 / 25
No deductions
Will it keep working20 / 20
No deductions

Test details

Expand any row for details; anything private has been removed

6 checks
Model list visibility

gpt-5.3-codex-spark is visible in the API model list.

Passed
Test details
This test ran 5 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 503 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 14.1K tokens
of which 2.6K 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 20.8K tokens
64K 上下文能力实测

64K 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: API service error
Content length used: 64K

Reviews

还没有人评论,来写第一条。

发表评论