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glm-4.7-flashx deep verification model-consistency report

Report ID MZZR20260709060230022FB3Generated at 2026/07/09 14:02

Matched

glm-4.7-flashx 本次模型一致性深度验真结果:Matched(86/100)。主要扣分项:逻辑网格推理不稳定。

86Consistency score

主要扣分项:逻辑网格推理不稳定。

EvaluatorMozhenzhen
Tested modelGLM-4.7-FlashX
ProvidersInfistar
Samples107 probes
Duration4 min 30 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 usage23.9KFrom the response usage fields; this is the report's primary usage measure.Test-suite estimate90.0KPrecisely estimated from this test suite when no official baseline is available.Variance assessment73% 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 share52.8%
Low cache share

Cached tokens were observed, but the share is low. Review API parameters, context reuse, and billing methodology.

Observed tokens15.2KCached tokens8.0KNon-cached tokens7.2KAverage per run3.0K
Token usage recordReturnedCache fieldObservedResultNormal
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 0.1%,缓存 Token 2,观测 Token 3.1K0.1%1times2次:缓存 Token 占比 0.1%,缓存 Token 2,观测 Token 3.0K0.1%2times3次:缓存 Token 占比 88.9%,缓存 Token 2.7K,观测 Token 3.0K88.9%3times4次:缓存 Token 占比 87.3%,缓存 Token 2.7K,观测 Token 3.1K87.3%4times5次:缓存 Token 占比 87.8%,缓存 Token 2.7K,观测 Token 3.0K87.8%5times
Long-context test

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

1 samples
边界在 32K

32K 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 lengths32KTests begin at the longest generated context and step down to verify stable, correct responses.
Current guidance

32K 档暂不作为当前线路的稳定上下文参考。

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.

18 checks
Model list visibility

glm-4.7-flashx 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: 541
Cached tokens: 2
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: 178
Cached tokens: 7
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: 246
Cached tokens: 3
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: 419
Cached tokens: 4
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: 307
Cached tokens: 2
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: 641
Cached tokens: 1
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: 239
Cached tokens: 2
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: 513
Cached tokens: 8
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: 686
Cached tokens: 2
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: 1.8K
Cached tokens: 2
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: 463
Cached tokens: 2
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: 379
Cached tokens: 2
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
Cached tokens: 2
Specialty test: token cache usage over 5 rounds

Specialty test used as Mozhenzhen verification evidence. All samples passed.

Passed
Test evidence
Check: Specialty test: token cache usage over 5 rounds
Status: Passed
Samples: 5
Test type: Text test
Specialty: Token cache usage test (may affect real billing)
Results: Passed 5 / Needs review 0 / Failed 0
Observed tokens: 15.2K
Cached tokens: 8.0K
Specialty test: 32K context capability

32K 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: Specialty test: 32K context capability
Status: Needs review
Samples: 1
Test type: Text test
Specialty: Context test
Context tier: 32K
Needs review原因:接口服务异常
Results: Passed 0 / Needs review 1 / Failed 0

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glm-4.7-flashx deep verification model-consistency report

Report ID:MZZR20260709060230022FB3Generated at2026/07/09 14:02
Model consistency score

Matched

glm-4.7-flashx 本次模型一致性深度验真结果:Matched(86/100)。主要扣分项:逻辑网格推理不稳定。

EvaluatorMozhenzhen
Tested modelGLM-4.7-FlashX
ProvidersInfistar
Samples107
Duration5 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 usage23.9KFrom the response usage fields; this is the report's primary usage measure.Test-suite estimate90.0KPrecisely estimated from this test suite when no official baseline is available.Variance assessment73% 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 share52.8%
Low cache share

Cached tokens were observed, but the share is low. Review API parameters, context reuse, and billing methodology.

Observed tokens15.2KCached tokens8.0KNon-cached tokens7.2KAverage per run3.0K
Token usage recordReturnedCache fieldObservedResultNormal
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 0.1%,缓存 Token 2,观测 Token 3.1K0.1%1times2次:缓存 Token 占比 0.1%,缓存 Token 2,观测 Token 3.0K0.1%2times3次:缓存 Token 占比 88.9%,缓存 Token 2.7K,观测 Token 3.0K88.9%3times4次:缓存 Token 占比 87.3%,缓存 Token 2.7K,观测 Token 3.1K87.3%4times5次:缓存 Token 占比 87.8%,缓存 Token 2.7K,观测 Token 3.0K87.8%5times
Long-context test

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

1 samples
边界在 32K

32K 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 lengths32KTests begin at the longest generated context and step down to verify stable, correct responses.
Current guidance

32K 档暂不作为当前线路的稳定上下文参考。

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.

18 checks
Model list visibility

glm-4.7-flashx 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: 541
Cached tokens: 2
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: 178
Cached tokens: 7
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: 246
Cached tokens: 3
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: 419
Cached tokens: 4
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: 307
Cached tokens: 2
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: 641
Cached tokens: 1
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: 239
Cached tokens: 2
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: 513
Cached tokens: 8
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: 686
Cached tokens: 2
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: 1.8K
Cached tokens: 2
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: 463
Cached tokens: 2
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: 379
Cached tokens: 2
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
Cached tokens: 2
Specialty test: token cache usage over 5 rounds

Specialty test used as Mozhenzhen verification evidence. All samples passed.

Passed
Test evidence
Check: Specialty test: token cache usage over 5 rounds
Status: Passed
Samples: 5
Test type: Text test
Specialty: Token cache usage test (may affect real billing)
Results: Passed 5 / Needs review 0 / Failed 0
Observed tokens: 15.2K
Cached tokens: 8.0K
Specialty test: 32K context capability

32K 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: Specialty test: 32K context capability
Status: Needs review
Samples: 1
Test type: Text test
Specialty: Context test
Context tier: 32K
Needs review原因:接口服务异常
Results: Passed 0 / Needs review 1 / Failed 0

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