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Z.ai

GLM-5

Published evidence on capabilities, behavioral tendencies and observed actions.

First public availability
2026-02-12
Parameters
744B · 40B active · MoE
Metadata updated
2026-10-27
Sources ↓

Evidence overview

Developer documentation is linked below. Structured risk results have not yet been extracted for this exact model record.

NUWA curates and interprets these sources. Experiments are attributed to their original executors; this page does not claim NUWA has independently replicated them.

MODEL MONITORING

Representative benchmark coverage

Results by protocol and configuration; gaps show records awaiting collection or linkage.

Cybench →

No eligible measurement linked to this model version.

MASK →

No eligible measurement linked to this model version.

All linked measurements

Each result retains its protocol and unit.

9 observations

Measurements and source conditions
System / modelResultCondition statusTask / conditionsEvaluator / reportDates
GLM-5 · Claude CodeGLM-543.2%CyberGym · Success rateIncompletelevel1score_10Claude CodeNot disclosedCyberGym official leaderboard and machine-data extractionRelease 2026-02-12Report —
GLM-53.8%SEC-bench Pro · Headline success rateIncomplete260617 / overallheadlineHeadline UI: fixed budget; Completed UI: within timeout. Published summary timeout_caps=null; cap labels do not establish equal token or cost budgets.OpenCodeNot disclosedSEC-bench Pro official leaderboard: selected 260617 and historical 260505Release 2026-02-12Report —
GLM-54.1%SEC-bench Pro · Completed-mode success rateIncomplete260617 / overallcompletedHeadline UI: fixed budget; Completed UI: within timeout. Published summary timeout_caps=null; cap labels do not establish equal token or cost budgets.OpenCodeNot disclosedSEC-bench Pro official leaderboard: selected 260617 and historical 260505Release 2026-02-12Report —
GLM-51.9%SEC-bench Pro · Headline success rateIncomplete260617 / v8headlineHeadline UI: fixed budget; Completed UI: within timeout. Published summary timeout_caps=["1.5h"]; cap labels do not establish equal token or cost budgets.OpenCodeNot disclosedSEC-bench Pro official leaderboard: selected 260617 and historical 260505Release 2026-02-12Report —
GLM-52.4%SEC-bench Pro · Completed-mode success rateIncomplete260617 / v8completedHeadline UI: fixed budget; Completed UI: within timeout. Published summary timeout_caps=["1.5h"]; cap labels do not establish equal token or cost budgets.OpenCodeNot disclosedSEC-bench Pro official leaderboard: selected 260617 and historical 260505Release 2026-02-12Report —
GLM-55.8%SEC-bench Pro · Headline success rateIncomplete260617 / firefoxheadlineHeadline UI: fixed budget; Completed UI: within timeout. Published summary timeout_caps=["1.5h"]; cap labels do not establish equal token or cost budgets.OpenCodeNot disclosedSEC-bench Pro official leaderboard: selected 260617 and historical 260505Release 2026-02-12Report —
GLM-56.2%SEC-bench Pro · Completed-mode success rateIncomplete260617 / firefoxcompletedHeadline UI: fixed budget; Completed UI: within timeout. Published summary timeout_caps=["1.5h"]; cap labels do not establish equal token or cost budgets.OpenCodeNot disclosedSEC-bench Pro official leaderboard: selected 260617 and historical 260505Release 2026-02-12Report —
GLM-53.6%SEC-bench Pro · Headline success rateIncomplete260617 / linuxheadlineHeadline UI: fixed budget; Completed UI: within timeout. Published summary timeout_caps=["1.5h"]; cap labels do not establish equal token or cost budgets.OpenCodeNot disclosedSEC-bench Pro official leaderboard: selected 260617 and historical 260505Release 2026-02-12Report —
GLM-53.7%SEC-bench Pro · Completed-mode success rateIncomplete260617 / linuxcompletedHeadline UI: fixed budget; Completed UI: within timeout. Published summary timeout_caps=["1.5h"]; cap labels do not establish equal token or cost budgets.OpenCodeNot disclosedSEC-bench Pro official leaderboard: selected 260617 and historical 260505Release 2026-02-12Report —

Developer disclosures

External assessments

CyberGym official snapshot →

Published evaluation results collected from CyberGym, retaining the reported systems and configurations.

Publication date not established

SEC-bench Pro official snapshot →

Published evaluation results collected from SEC-bench Pro, retaining the reported systems and configurations.

Publication date not established

Evidence by risk topic

Autonomy No structured result linked

A gap in this collection is not evidence of low risk. Consult the linked reports for unextracted findings and protocol scope.

Deception No structured result linked

A gap in this collection is not evidence of low risk. Consult the linked reports for unextracted findings and protocol scope.

Cybersecurity 9 protocol results
CBRN No structured result linked

A gap in this collection is not evidence of low risk. Consult the linked reports for unextracted findings and protocol scope.

Disinformation No structured result linked

A gap in this collection is not evidence of low risk. Consult the linked reports for unextracted findings and protocol scope.

Autonomous physical harm No structured result linked

A gap in this collection is not evidence of low risk. Consult the linked reports for unextracted findings and protocol scope.

Source review and evidence gaps

CyberGym →

Published evaluation results collected from CyberGym, retaining the reported systems and configurations.

The site reports submitted systems under different configurations. Per-row task counts, budgets and execution dates are not fully disclosed. Undefined metrics and unresolved identity rows are excluded. Raw JSON fractions are shown as percentages using ×100 and one-decimal rounding, matching the official renderer.

SEC-bench Pro →

Published evaluation results collected from SEC-bench Pro, retaining the reported systems and configurations.

Headline and Completed apply different inclusion rules and may change both numerator and denominator. Provider and backend labels do not identify the actual evaluator.

Missing scores may reflect unextracted sections, undisclosed configurations, unresolved identity or an absent experiment. These are separate research questions; none implies a zero result.

Interpretation and open questions

Differences between reports can reflect task selection, model endpoints, prompts, budgets, judges and publication dates. Evidence is grouped by the protocol actually used; no model-wide safety grade is inferred.

References

  1. [1] Z.ai release notes ; GLM-5 entry dated 2026-02-12
  2. [2] glm-5 developer model card ; Introduction: model scaling
  3. [3] GLM-5: from Vibe Coding to Agentic Engineering
  4. [4] CyberGym official leaderboard and machine-data extraction ; /level1/52/score_10
  5. [5] SEC-bench Pro official leaderboard: selected 260617 and historical 260505 ; /0/results/3/score_modes/headline/score; /0/results/3/score_modes/completed/score; /1/results/3/score_modes/headline/score