Verification report details
Free model verification · Redacted public report

glm-5.1 deep verification model-consistency report

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

Matched

glm-5.1 deep verification result: Matched (86/100). Main deductions: Logic-grid reasoning was unstable.

86Consistency score

主要扣分项:逻辑网格推理不稳定。

EvaluatorMozhenzhen
Tested modelGLM-5.1
ProvidersInfistar
Samples109 probes
Duration5 min 54 sec
Verification versionV11
Identity verdictVerified
Verification basisMozhenzhen versioned baseline

Token usage

Measured API usage is shown first; official baselines or test estimates are used only when measured values are unavailable.

Measured token usage77.9KFrom the response usage fields; this is the report's primary usage measure.Test-suite estimate90.1KPrecisely estimated from this test suite when no official baseline is available.Variance assessment13% belowMeasured token usage is below the estimate, possibly due to tokenizer, compression, or usage-reporting differences.Usage conclusionBelow estimateThis reflects usage observability, not the final billed amount.
Token cache usage test

Observes token usage, cache fields, and reuse across rounds; 0% means no cached-token field was observed.

Tested 5 times
Observed cache share68.3%
未观察到缓存字段

接口返回了实际 Token,但本次响应没有可识别的缓存 Token 字段;可能是渠道不返回、请求未命中或字段未被解析。

Observed tokens11.5KCached tokens7.9KNon-cached tokens3.7KAverage per run2.3K
Token usage recordReturnedCache fieldObservedResultNeeds review
Cache share by testRepresents the API-reported cache share, not the final billing discount.
100%75%50%25%01次:缓存 Token 占比 0.0%,缓存 Token 0,观测 Token 2.9K0.0%1times2次:缓存 Token 占比 91.7%,缓存 Token 2.6K,观测 Token 2.9K91.7%2times3次:未返回用量数据未返回3times4次:缓存 Token 占比 89.7%,缓存 Token 2.6K,观测 Token 2.9K89.7%4times5次:缓存 Token 占比 91.8%,缓存 Token 2.6K,观测 Token 2.9K91.8%5times
Long-context test

Shows stable responses at different context lengths and the model center reference window.

3 samples
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

100K 档暂不作为当前线路的稳定上下文参考。

A newer report is availableThis report has been superseded by a later retest. View the latest report

Model authenticity score

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

Scoring breakdown

Matched86/100

主要扣分项:逻辑网格推理不稳定。

Callability and model visibility10 / 10
No deductions
Protocol and response structure12 / 12
No deductions
Identity and model match18 / 18
No deductions
Core capabilities and model-specific tests15 / 25
逻辑网格推理不稳定(深度题:逻辑网格推理) -10
Usage and billing consistency10 / 10
No deductions
Reliability and availability21 / 25
逻辑网格推理不稳定(深度题:逻辑网格推理) -4

Test details

Expand each check to view the redacted evidence notes.

20 checks
Model list visibility

glm-5.1 is visible in the API model list.

Passed
Test evidence
Check: Model list visibility
Status: Passed
Samples: 85
API path: /v1/models
Visible models: 85
Basic call probe

The basic API call succeeded and returned a recognizable response.

Passed
Test evidence
Check: Basic call probe
Status: Passed
Samples: 1
API path: /v1/chat/completions
Quick test: model self-identification

General test used as Mozhenzhen verification evidence for the identity dimension. All samples passed.

Passed
Test evidence
Check: Quick test: model self-identification
Status: Passed
Samples: 1
Test type: Text test
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 279
Standard test: instruction following

General test used as Mozhenzhen verification evidence for the ability dimension. All samples passed.

Passed
Test evidence
Check: Standard test: instruction following
Status: Passed
Samples: 1
Test type: Text test
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 123
Standard test: JSON structure

General test used as Mozhenzhen verification evidence for the ability dimension. All samples passed.

Passed
Test evidence
Check: Standard test: JSON structure
Status: Passed
Samples: 1
Test type: Text test
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 253
Standard test: tag-structure repetition

General test used as Mozhenzhen verification evidence for the protocol dimension. All samples passed.

Passed
Test evidence
Check: Standard test: tag-structure repetition
Status: Passed
Samples: 1
Test type: Text test
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 304
Standard test: hidden-prompt boundary

General test used as Mozhenzhen verification evidence for the ability dimension. All samples passed.

Passed
Test evidence
Check: Standard test: hidden-prompt boundary
Status: Passed
Samples: 1
Test type: Text test
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 300
Standard test: brand boundary

General test used as Mozhenzhen verification evidence for the identity dimension. All samples passed.

Passed
Test evidence
Check: Standard test: brand boundary
Status: Passed
Samples: 1
Test type: Text test
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 897
Standard test: usage observability

General test used as Mozhenzhen verification evidence for the usage dimension. All samples passed.

Passed
Test evidence
Check: Standard test: usage observability
Status: Passed
Samples: 1
Test type: Text test
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 195
Deep test: logic-grid reasoning

执行 通用题,用于形成模真真验真证据,评分维度:ability。 存在样本未完全Passed。

Needs review
Test evidence
Check: Deep test: logic-grid reasoning
Status: Needs review
Samples: 1
Test type: Text test
Needs review原因:逻辑网格推理不稳定
Results: Passed 0 / Needs review 1 / Failed 0
Deep test: retest consistency

General test used as Mozhenzhen verification evidence for the stability dimension. All samples passed.

Passed
Test evidence
Check: Deep test: retest consistency
Status: Passed
Samples: 2
Test type: Text test
Results: Passed 2 / Needs review 0 / Failed 0
Observed tokens: 368
品牌题:GLM 系列证据边界 证据边界

Brand-specific test used as Mozhenzhen verification evidence for the identity dimension. All samples passed.

Passed
Test evidence
Check: 品牌题:GLM 系列证据边界 证据边界
Status: Passed
Samples: 1
Test type: Text test
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 478
深度品牌题:GLM 系列证据边界

Brand-specific test used as Mozhenzhen verification evidence for the ability dimension. All samples passed.

Passed
Test evidence
Check: 深度品牌题:GLM 系列证据边界
Status: Passed
Samples: 1
Test type: Text test
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 2.0K
Model-specific test: model-code anchoring

Model-specific test used as Mozhenzhen verification evidence for the identity dimension. All samples passed.

Passed
Test evidence
Check: Model-specific test: model-code anchoring
Status: Passed
Samples: 1
Test type: Text test
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 384
Model-family test: series and tier identification

Model-specific test used as Mozhenzhen verification evidence for the identity dimension. All samples passed.

Passed
Test evidence
Check: Model-family test: series and tier identification
Status: Passed
Samples: 1
Test type: Text test
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 339
Deep model test: family-specific boundary

Model-specific test used as Mozhenzhen verification evidence for the ability dimension. All samples passed.

Passed
Test evidence
Check: Deep model test: family-specific boundary
Status: Passed
Samples: 1
Test type: Text test
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 1.1K
Specialty test: token cache usage over 5 rounds

执行 专项题,用于形成模真真验真证据。 存在样本未完全Passed。

Needs review
Test evidence
Check: Specialty test: token cache usage over 5 rounds
Status: Needs review
Samples: 5
Test type: Text test
Specialty: Token cache usage test (may affect real billing)
Needs review原因:接口服务异常
Results: Passed 4 / Needs review 1 / Failed 0
Observed tokens: 11.5K
Cached tokens: 7.9K
Specialty test: 32K context capability

32K context sample returned reliably and is included as evidence for this run.

Passed
Test evidence
Check: Specialty test: 32K context capability
Status: Passed
Samples: 1
Test type: Text test
Specialty: Context test
Context tier: 32K
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 19.8K
专项:64K 上下文能力实测

64K context sample returned reliably and is included as evidence for this run.

Passed
Test evidence
Check: 专项:64K 上下文能力实测
Status: Passed
Samples: 1
Test type: Text test
Specialty: Context test
Context tier: 64K
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 39.1K
专项:100K 上下文能力实测

100K 长度样本未形成稳定结果,本次按边界样本记录。

Needs review
Test evidence
Check: 专项:100K 上下文能力实测
Status: Needs review
Samples: 1
Test type: Text test
Specialty: Context test
Context tier: 100K
Needs review原因:接口服务异常
Results: Passed 0 / Needs review 1 / Failed 0

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glm-5.1 deep verification model-consistency report

Report ID:MZZR20260710022129FB3762Generated at2026/07/10 10:21
Model consistency score

Matched

glm-5.1 deep verification result: Matched (86/100). Main deductions: Logic-grid reasoning was unstable.

EvaluatorMozhenzhen
Tested modelGLM-5.1
ProvidersInfistar
Samples109
Duration6 min
Test versionV11
Identity verdictVerified
Verification basisMozhenzhen versioned baseline

Token usage

Measured API usage is shown first; official baselines or test estimates are used only when measured values are unavailable.

Measured token usage77.9KFrom the response usage fields; this is the report's primary usage measure.Test-suite estimate90.1KPrecisely estimated from this test suite when no official baseline is available.Variance assessment13% belowMeasured token usage is below the estimate, possibly due to tokenizer, compression, or usage-reporting differences.Usage conclusionBelow estimateThis reflects usage observability, not the final billed amount.
Token cache usage test

Observes token usage, cache fields, and reuse across rounds; 0% means no cached-token field was observed.

Tested 5 times
Observed cache share68.3%
未观察到缓存字段

接口返回了实际 Token,但本次响应没有可识别的缓存 Token 字段;可能是渠道不返回、请求未命中或字段未被解析。

Observed tokens11.5KCached tokens7.9KNon-cached tokens3.7KAverage per run2.3K
Token usage recordReturnedCache fieldObservedResultNeeds review
Cache share by testRepresents the API-reported cache share, not the final billing discount.
100%75%50%25%01次:缓存 Token 占比 0.0%,缓存 Token 0,观测 Token 2.9K0.0%1times2次:缓存 Token 占比 91.7%,缓存 Token 2.6K,观测 Token 2.9K91.7%2times3次:未返回用量数据未返回3times4次:缓存 Token 占比 89.7%,缓存 Token 2.6K,观测 Token 2.9K89.7%4times5次:缓存 Token 占比 91.8%,缓存 Token 2.6K,观测 Token 2.9K91.8%5times
Long-context test

Shows stable responses at different context lengths and the model center reference window.

3 samples
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

100K 档暂不作为当前线路的稳定上下文参考。

A newer report is availableThis report has been superseded by a later retest. View the latest report

Model authenticity score

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

Scoring breakdown

Matched86/100

主要扣分项:逻辑网格推理不稳定。

Callability and model visibility10 / 10
No deductions
Protocol and response structure12 / 12
No deductions
Identity and model match18 / 18
No deductions
Core capabilities and model-specific tests15 / 25
逻辑网格推理不稳定(深度题:逻辑网格推理) -10
Usage and billing consistency10 / 10
No deductions
Reliability and availability21 / 25
逻辑网格推理不稳定(深度题:逻辑网格推理) -4

Test details

Expand each check to view the redacted evidence notes.

20 checks
Model list visibility

glm-5.1 is visible in the API model list.

Passed
Test evidence
Check: Model list visibility
Status: Passed
Samples: 85
API path: /v1/models
Visible models: 85
Basic call probe

The basic API call succeeded and returned a recognizable response.

Passed
Test evidence
Check: Basic call probe
Status: Passed
Samples: 1
API path: /v1/chat/completions
Quick test: model self-identification

General test used as Mozhenzhen verification evidence for the identity dimension. All samples passed.

Passed
Test evidence
Check: Quick test: model self-identification
Status: Passed
Samples: 1
Test type: Text test
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 279
Standard test: instruction following

General test used as Mozhenzhen verification evidence for the ability dimension. All samples passed.

Passed
Test evidence
Check: Standard test: instruction following
Status: Passed
Samples: 1
Test type: Text test
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 123
Standard test: JSON structure

General test used as Mozhenzhen verification evidence for the ability dimension. All samples passed.

Passed
Test evidence
Check: Standard test: JSON structure
Status: Passed
Samples: 1
Test type: Text test
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 253
Standard test: tag-structure repetition

General test used as Mozhenzhen verification evidence for the protocol dimension. All samples passed.

Passed
Test evidence
Check: Standard test: tag-structure repetition
Status: Passed
Samples: 1
Test type: Text test
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 304
Standard test: hidden-prompt boundary

General test used as Mozhenzhen verification evidence for the ability dimension. All samples passed.

Passed
Test evidence
Check: Standard test: hidden-prompt boundary
Status: Passed
Samples: 1
Test type: Text test
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 300
Standard test: brand boundary

General test used as Mozhenzhen verification evidence for the identity dimension. All samples passed.

Passed
Test evidence
Check: Standard test: brand boundary
Status: Passed
Samples: 1
Test type: Text test
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 897
Standard test: usage observability

General test used as Mozhenzhen verification evidence for the usage dimension. All samples passed.

Passed
Test evidence
Check: Standard test: usage observability
Status: Passed
Samples: 1
Test type: Text test
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 195
Deep test: logic-grid reasoning

执行 通用题,用于形成模真真验真证据,评分维度:ability。 存在样本未完全Passed。

Needs review
Test evidence
Check: Deep test: logic-grid reasoning
Status: Needs review
Samples: 1
Test type: Text test
Needs review原因:逻辑网格推理不稳定
Results: Passed 0 / Needs review 1 / Failed 0
Deep test: retest consistency

General test used as Mozhenzhen verification evidence for the stability dimension. All samples passed.

Passed
Test evidence
Check: Deep test: retest consistency
Status: Passed
Samples: 2
Test type: Text test
Results: Passed 2 / Needs review 0 / Failed 0
Observed tokens: 368
品牌题:GLM 系列证据边界 证据边界

Brand-specific test used as Mozhenzhen verification evidence for the identity dimension. All samples passed.

Passed
Test evidence
Check: 品牌题:GLM 系列证据边界 证据边界
Status: Passed
Samples: 1
Test type: Text test
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 478
深度品牌题:GLM 系列证据边界

Brand-specific test used as Mozhenzhen verification evidence for the ability dimension. All samples passed.

Passed
Test evidence
Check: 深度品牌题:GLM 系列证据边界
Status: Passed
Samples: 1
Test type: Text test
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 2.0K
Model-specific test: model-code anchoring

Model-specific test used as Mozhenzhen verification evidence for the identity dimension. All samples passed.

Passed
Test evidence
Check: Model-specific test: model-code anchoring
Status: Passed
Samples: 1
Test type: Text test
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 384
Model-family test: series and tier identification

Model-specific test used as Mozhenzhen verification evidence for the identity dimension. All samples passed.

Passed
Test evidence
Check: Model-family test: series and tier identification
Status: Passed
Samples: 1
Test type: Text test
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 339
Deep model test: family-specific boundary

Model-specific test used as Mozhenzhen verification evidence for the ability dimension. All samples passed.

Passed
Test evidence
Check: Deep model test: family-specific boundary
Status: Passed
Samples: 1
Test type: Text test
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 1.1K
Specialty test: token cache usage over 5 rounds

执行 专项题,用于形成模真真验真证据。 存在样本未完全Passed。

Needs review
Test evidence
Check: Specialty test: token cache usage over 5 rounds
Status: Needs review
Samples: 5
Test type: Text test
Specialty: Token cache usage test (may affect real billing)
Needs review原因:接口服务异常
Results: Passed 4 / Needs review 1 / Failed 0
Observed tokens: 11.5K
Cached tokens: 7.9K
Specialty test: 32K context capability

32K context sample returned reliably and is included as evidence for this run.

Passed
Test evidence
Check: Specialty test: 32K context capability
Status: Passed
Samples: 1
Test type: Text test
Specialty: Context test
Context tier: 32K
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 19.8K
专项:64K 上下文能力实测

64K context sample returned reliably and is included as evidence for this run.

Passed
Test evidence
Check: 专项:64K 上下文能力实测
Status: Passed
Samples: 1
Test type: Text test
Specialty: Context test
Context tier: 64K
Results: Passed 1 / Needs review 0 / Failed 0
Observed tokens: 39.1K
专项:100K 上下文能力实测

100K 长度样本未形成稳定结果,本次按边界样本记录。

Needs review
Test evidence
Check: 专项:100K 上下文能力实测
Status: Needs review
Samples: 1
Test type: Text test
Specialty: Context test
Context tier: 100K
Needs review原因:接口服务异常
Results: Passed 0 / Needs review 1 / Failed 0

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