Is glm-5.1 genuine? Deep check result

Report ID MZZR20260710022129FB3762Generated at 2026/07/10 10:21

Matched

glm-5.1 本次深度验真结果：Matched（86/100）。主要问题：复杂推理题答得不稳。

86Model consistency score

主要问题：复杂推理题答得不稳。

Tested byMozhenzhen

Tested modelGLM-5.1

ProvidersConeverse AI

Requests109

Duration5 min 54 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 usage77.9KThe actual usage reported by the API; this page goes by it.Estimated usage322.5KEstimated from this test's requests.Deviation76% 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 rate68.3%

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 run11.5KCached tokens7.9KNon-cached tokens3.7KAverage per run2.3K

Usage reportedReportedCache billingHappenedResultNeeds attention

Cache share by testThis is only the cache share the endpoint reported; the real discount is on the bill

Long-context test

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

3 tiers

Verified up to 64K

100K 需要关注，原因：接口服务异常。

Reference windowReference window 200KModel-center context window; available lengths may vary by provider.Tested context lengths32K / 64K / 100KTests begin at the longest generated context and step down to verify stable, correct responses.

Current guidance

The 100K 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

Matched86/100

主要问题：复杂推理题答得不稳。

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 model15 / 25

复杂推理题答得不稳（逻辑网格推理） -10

Is usage and billing reasonable10 / 10

No deductions

Will it keep working21 / 25

复杂推理题答得不稳（逻辑网格推理） -4

Test details

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

20 checks

Model list visibility

glm-5.1 is visible in the API model list.

Passed

Test details

This test ran 85 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 279 tokens

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 123 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 253 tokens

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 304 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 300 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 897 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 195 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。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。 2 次都对。

Passed

Test details

This test ran 2 times: 2 passed.
This test used 368 tokens

GLM 系列边界

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 478 tokens

GLM 系列边界

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 2.0K 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 384 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 339 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 1.1K 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。有几次没对上。

Needs review

Test details

This test ran 5 times: 4 passed, 1 need attention.
Why it failed: API service error
This test used 11.5K tokens
of which 7.9K 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 19.8K 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 39.1K tokens

100K 上下文能力实测

100K 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: 100K

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 glm-5.1 genuine? Deep check result

Report ID:MZZR20260710022129FB3762Generated at：2026/07/10 10:21

Provider details AI 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

Matched

glm-5.1 本次深度验真结果：Matched（86/100）。主要问题：复杂推理题答得不稳。

Tested byMozhenzhen

Tested modelGLM-5.1

ProvidersConeverse AI

Requests109

Duration6 min

Identity verdictVerified

ReferenceMozhenzhen's own test standard

Token usage check

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

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 rate68.3%

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 run11.5KCached tokens7.9KNon-cached tokens3.7KAverage per run2.3K

Usage reportedReportedCache billingHappenedResultNeeds attention

Cache share by testThis is only the cache share the endpoint reported; the real discount is on the bill

Long-context test

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

3 tiers

Verified up to 64K

100K 需要关注，原因：接口服务异常。

Current guidance

The 100K 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

Matched86/100

主要问题：复杂推理题答得不稳。

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 model15 / 25

复杂推理题答得不稳（逻辑网格推理） -10

Is usage and billing reasonable10 / 10

No deductions

Will it keep working21 / 25

复杂推理题答得不稳（逻辑网格推理） -4

Test details

Expand any row for details; anything private has been removed

20 checks

Model list visibility

glm-5.1 is visible in the API model list.

Passed

Test details

This test ran 85 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 279 tokens

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 123 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 253 tokens

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 304 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 300 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 897 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 195 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。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。 2 次都对。

Passed

Test details

This test ran 2 times: 2 passed.
This test used 368 tokens

GLM 系列边界

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 478 tokens

GLM 系列边界

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 2.0K 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 384 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 339 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 1.1K 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。有几次没对上。

Needs review

Test details

This test ran 5 times: 4 passed, 1 need attention.
Why it failed: API service error
This test used 11.5K tokens
of which 7.9K 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 19.8K 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 39.1K tokens

100K 上下文能力实测

100K 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: 100K

Reviews

还没有人评论，来写第一条。