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Across the task benchmarks we track, GLM-5.1’s strongest relative results are in work automations. On AutomationBench-AA, it scores 20.3%, ranking #43 among 55 models with reported results in our dataset.

Updated: Data as of:

Strongest results

Strongest results for GLM-5.1 in tracked evaluation cohorts
BenchmarkMeasuresScore
IFBench ↗58 constraint typesPrecise instruction following76.3%#7 of 17
Humanity's Last Exam ↗Stable HLE — text-only subsetExpert reasoning30.1%Joint #49 of 68
AA-Briefcase ↗1.1 / combined EloBusiness deliverables965 Elo#42 of 57
Terminal-Bench ↗4.0 / mini-swe-agentWorking in a terminal2%Joint #43 of 56

Model details

Open source / open weights8 benchmarks
Specifications for GLM-5.1
ModelGLM-5.1
Agent Index v1.2Insufficient coverage (3/7) · Preview
CreatorZ.ai (opens in a new tab)
AvailabilityOpen source / open weights
Context sizeNot reported
Max outputNot reported
Knowledge cutoffNot reported
LicenseNot reported · Model weights ↗ (opens in a new tab)

Pricing and performance

Per provider and reported configuration. Prices are USD per 1M tokens.

No provider pricing or performance reports have been added for this model yet.

Benchmark performance

GLM-5.1 in color, alongside leading models. Latest stored reports, best effort per report date.

Reported benchmarks

All published results in our dataset, with versions, evaluation settings, and sources.

All published benchmark reports for GLM-5.1
BenchmarkScoreEvaluation setupSource
AA-Briefcase1.1 / combined EloCombined Elo · Higher is better965 Eloselection: best reported configuration per release · GLM-5.1 · tools: benchmark-definedArtificial Analysis (opens in a new tab)independent
AutomationBench-AA1.0.6 / AA private 657Objectives completed without guardrail violations · Higher is better20.3%reported precision decimals: 1 · result quality: reported · GLM-5.1; private held-out 657 tasks; 50 turns; objective completion with zero credit for any guardrail violation. · source model href: /models/glm-5-1 · task count: 657 · Tools enabled · turn cap: 50Artificial Analysis (opens in a new tab)independent
Gaia2CLI · OpenClaw 2026.4.1Pass@1 · Higher is better50.5%api host: OpenRouter · capabilities: search, execution, adaptability, ambiguity, time · edition: Gaia2-CLI · harness: OpenClaw 2026.4.1 · reasoning: enabled · reasoning context: Not round-tripped by this harness for OpenRouter; may affect multi-step performanceMeta Agents Research Environments ↗ (opens in a new tab)benchmark publisher · 2026-04-13
GDP.pdf100 tasks / All-pass / five attemptsAccuracy · Higher is better8.4%selection: best reported configuration per release · GLM-5.1 · tools: benchmark-definedArtificial Analysis (opens in a new tab)independent
Humanity's Last ExamStable HLE — text-only subsetAccuracy · Higher is better30.1%question count: 2158 · reported precision decimals: 1 · GLM-5.1; original HLE; 2,158 text-only questions; no tools; pass@1; chart labels rounded to one decimal. · source model href: /models/glm-5-1 · subset: text · No toolsArtificial Analysis (opens in a new tab)independent
IFBench58 constraint typesAccuracy · Higher is better76.3%selection: publisher default displayed configuration · GLM-5.1Artificial Analysis (opens in a new tab)independent
Terminal-Bench4.0 / mini-swe-agentTask success · Higher is better2%harness: mini-swe-agent · repeats: 3 · selection: best reported configuration per release · GLM-5.1Artificial Analysis (opens in a new tab)independent
π-BenchOverall · PROCProactivity (PROC) · Higher is better58.4%completeness score: 63.6 · completeness uncertainty: 2.9 · metric: Avg PROC · personas: 5 · proc uncertainty: 0.8 · selection: Overall rows; not per-persona averages. COMP is a separate metric and does not determine this ranking. · tasks: 100π-Bench research team ↗ (opens in a new tab)benchmark publisher