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GLM 4.6

Z.ai (Zhipu AI)family · GLM4.6

Compared with GLM-4.5, this generation brings several key improvements: Longer context window: The context window has been expanded from 128K to 200K tokens, enabling the model to handle more complex...

Open in Graph
data quality60

Updated 5 h ago · first seen 11 Sept 2026

model_01M294WWB0PA51VCWTGG2EEAZF

Overview

Identity

Canonical model
Yesidentity confidence: mediumOne row per real model release. Artifacts (checkpoints, quantisations, conversions) and folded evaluation variants point here.
Official checkpoints
official_checkpoints = hf_repo identifiers carried by the model itself; artifacts are separate entities pointing here through canonical_id.
Artifacts
1 quantization0 official · 1 third-partySeparate entities (checkpoint · quantization · conversion · packaging) pointing to this model through canonical_id.
Provider deployments
2
API aliases
glm-4-6glm-4-6-reasoningz-ai/glm-4.6Identifiers under which providers and evaluators refer to this model.
Folded evaluation variants
1Effort / thinking variants (…-high, …-non-reasoning) are result configurations of this model, not separate models. Their old URLs redirect here.

Openness

Open weights— weights downloadable; 7 dimensions unknown.

Weights downloadable under a permissive or Creative Commons licence allowing commercial use; code or data may be missing.

  • Weights

    Yes

  • Inference code

    —

  • Training code

    —

  • Training data

    —

  • Dataset

    —

  • Commercial use

    —

  • Redistribution

    —

  • Derivatives

    —

dimensions marked null are unknown, not false

Key facts

Release date

Source:OpenRouter public model & pricing listingT2observed 15 h agomedium

Status

Source:Artificial AnalysisT2observed 13 h agomedium

Knowledge cutoff

Source:OpenRouter public model & pricing listingT2observed 15 h agomedium

Openrouter id

Source:OpenRouter public model & pricing listingT2observed 15 h agomedium

Architecture

Hugging Face repo

Source:OpenRouter public model & pricing listingT2observed 15 h agomedium

Capabilities

Modalities

Modalities
text
Input
text
Output
text

Capabilities

  • Tool calling

    Yes

    OpenRouter public model & pricing listing · T2

  • Structured output

    Yes

    OpenRouter public model & pricing listing · T2

  • Reasoning

    Yes

    OpenRouter public model & pricing listing · T2

  • Vision

    Unavailable

  • Audio

    Unavailable

  • Fine-tuning available

    Unavailable

Context window

Source:OpenRouter public model & pricing listingT2observed 12 h agomedium

Max output

Source:OpenRouter public model & pricing listingT2observed 15 h agomedium

Knowledge cutoff

Source:OpenRouter public model & pricing listingT2observed 15 h agomedium

Benchmarks28

Compare with another model →

Comparable same task and conditions · Partially comparable same task, conditions differ (effort, temperature, judge) · Not comparable different variant or metric

Benchmark results grouped by comparability group
Benchmark · groupBest scoreTrustConfigurationResultsvs leaderEvaluatedSource
Terminal-Benchagentic · accuracy · variant=hard · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisvarianthardreasoningoffconditions differ across rows → partially comparable4−37.1 ptvs gpt-5.6-solobs. 12 Sept 2026artificialanalysis.aiT2
Terminal-Benchagentic · accuracy · variant=v2.1 · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisvariantv2.1reasoningonconditions differ across rows → partially comparable2non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
τ²-benchagentic · pass^1 · variant=Telecom · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantTelecomreasoningoffconditions differ across rows → partially comparable2non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
τ²-benchagentic · pass^1 · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysis2−22.2 ptvs Z.ai GLM 5.2obs. 11 Sept 2026artificialanalysis.aiT2
SWE-bench Verifiedcoding · resolved · board=Verified · system=mini-SWE-agentOfficial boardboardVerifiedsystemmini-SWE-agent1−21.4 ptvs Claude Opus 4.51 Dec 2025swebench.comT2
SWE-bench Verifiedcoding · resolved · board=Verified · system=UndisclosedCommunityboardVerifiedsystemUndisclosed1non-primary group30 Sept 2025swebench.comT2
Artificial Analysis Intelligence Indexcomposite · indexIndependentreasoningonversion4.3conditions differ across rows → partially comparable4−34.8vs Claude Fable 5.1obs. 12 Sept 2026artificialanalysis.aiT2
IFBenchinstruction-following · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningonconditions differ across rows → partially comparable4−39.9 ptvs Grok 4.3obs. 12 Sept 2026artificialanalysis.aiT2
Humanity's Last Examknowledge · accuracy · evaluator=Artificial AnalysisIndependentevaluatorArtificial Analysisreasoningonconditions differ across rows → partially comparable4−44.7 ptvs Claude Fable 5.1obs. 12 Sept 2026artificialanalysis.aiT2
GPQA Diamondreasoning · accuracy · variant=Diamond · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantDiamondreasoningonconditions differ across rows → partially comparable2non-primary groupobs. 12 Sept 2026artificialanalysis.aiT2
GPQA Diamondreasoning · accuracy · variant=GPQA Diamond · evaluator=Artificial AnalysisIndependentevaluatorArtificial AnalysisvariantGPQA Diamondreasoningonconditions differ across rows → partially comparable2−18.3 ptvs gpt-6-astraobs. 11 Sept 2026artificialanalysis.aiT2

Current rows only, grouped by benchmark → canonical metric → comparability group (task configuration). Effort variants folded into this model appear as rows of the same group. 28 current rows in total. “vs leader” compares with the current leader of the benchmark's primary group only; other groups are not directly comparable. Comparability rules →

Providers & Pricing2

All offers in the price terminal →
Provider deployments, cheapest output first
ProviderContextInput / 1MCached inOutput / 1MStatusObservedSource
OpenRoutercheapest outputz-ai/glm-4.6198Kout 16.4K$0.08active2 h agosince 12 Sept 2026openrouter.aiT2
Z.ai APIz-ai/glm-4.6198Kout 16.4K$0.08active6 h agosince 11 Sept 2026openrouter.aiT2

USD per 1M tokens as published by each provider; native units (per-request fees, flex/priority tiers) are kept verbatim. Rows are append-only — every price change is kept in the history below. Cost of a workload →

Price history

Step lines per provider; amber markers are recorded changes. Click a marker or a row for the evidence behind that price.

Output price · USD / 1M tokens 2 providers

Output price history of GLM 4.6$0$0.50$1$1.5$2$2.5Sept 26Sept 26Sept 26Sept 26Sept 26Z.ai API: first observed → $1.75 · 11 Sept 2026OpenRouter: first observed → $1.75 · 12 Sept 2026
  • Z.ai API
  • OpenRouter
  • OpenRouterfirst observed $1.7512 Sept 2026
  • Z.ai APIfirst observed $1.7511 Sept 2026

Input price · USD / 1M tokens 2 providers

Input price history of GLM 4.6$0$0.10$0.20$0.30$0.40$0.50Sept 26Sept 26Sept 26Sept 26Sept 26Z.ai API: first observed → $0.43 · 11 Sept 2026OpenRouter: first observed → $0.43 · 12 Sept 2026
  • Z.ai API
  • OpenRouter
  • OpenRouterfirst observed $0.4312 Sept 2026
  • Z.ai APIfirst observed $0.4311 Sept 2026

Lineage

Open in Graph →
Explicit derived_from / fine_tuned_from / distilled_from relations stated by sources; artifacts collapsed by kind.
DESCENDANTS 1 · ARTIFACTScerebras/GLM-4.6-REAP-268B-A3…268.8Bcerebras/GLM-4.6-REAP-268B-A32B — 268.8B1 quantizationartifacts · collapsed1 quantization — artifacts · collapsedGLM 4.6this modelGLM 4.6 — this model

Versions & Artifacts1

Version history

Context window2 changes

11 Sept 2026→11 Sept 2026→12 Sept 2026current

Knowledge cutofffirst observation only

11 Sept 2026current

Max outputfirst observation only

11 Sept 2026current

Opennessfirst observation only

11 Sept 2026current

Statusfirst observation only

11 Sept 2026current

Each hop is a claim: click a value for its source, tier and observation time. Nothing is overwritten — a new observation closes the previous claim.

Artifacts 1

quantization 1

Timeline16

Full timeline →
  • Listed by providerModelGLM 4.6Z.ai (Zhipu AI)

    OpenRouter lists GLM 4.6 at $0.43 in / $1.75 out per 1M tokens

    openrouter
    openrouter.ai
  • Benchmark resultModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6 scores 25% on Terminal-Bench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6 scores 49.44% on Terminal-Bench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6 scores 70.47% on τ²-bench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6 scores 43.4% on IFBench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6 scores 14.46% on Humanity's Last Exam

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6 scores 77.98% on GPQA Diamond

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6 scores 18.53 on Artificial Analysis Intelligence Index

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6 scores 28.79% on Terminal-Bench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6 scores 76.9% on τ²-bench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6 scores 36.73% on IFBench

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6 scores 5.47% on Humanity's Last Exam

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6 scores 63.23% on GPQA Diamond

    artificial_analysis
    artificialanalysis.ai
  • Benchmark resultModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6 scores 14.93 on Artificial Analysis Intelligence Index

    artificial_analysis
    artificialanalysis.ai
  • Property changedModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6: reasoning changed from false to true

    ReasoningNo→Yesopenrouter
    openrouter.ai
  • Context window changedModelGLM 4.6Z.ai (Zhipu AI)

    GLM 4.6: context length changed from 200000 to 204800

    Context window200K tokens→204.8K tokensopenrouter
    openrouter.ai

Change history

Temporal, append-only claims: a new observation closes the previous claim instead of overwriting it. Rewind the record with the as-of picker.
2 claims · 1 propertiesShow all properties

Opennessopenness2

Claim history for Openness
ValueValid from → toStatusSourceConfidenceExtractor
open-weights → currentcurrentArtificial AnalysisT2mediumdeterministic
open-weights → currentcurrentArtificial AnalysisT2mediumdeterministic

Claims are temporal and append-only: a new observation closes the previous claim (valid_to) instead of overwriting it. Conflicting claims from different sources are kept side by side and flagged — never averaged. Methodology →

Provenance

Attributed facts

22

Source tiers

T222

Freshest observation

5 h ago

Conflicts

None

Source documents 4

Source documents
SourceDocumentTypeTierLast observedSnapshots
OpenRouter public model & pricing listingopenrouter.ai/api/v1/models catalogueT2· Quality secondary2 h ago11
SWE-bench leaderboardsswebench.com/ leaderboardT2· Quality secondary5 h ago1
Artificial Analysisartificialanalysis.ai/leaderboards/models leaderboardT2· Quality secondary5 h ago2
Hugging Face Hub (public pages, model cards, papers)huggingface.co/cerebras/GLM-4.6-REAP-268B-A32B model_pageT2· Quality secondary9 h ago5

Tier 1 = official/primary, 2 = quality secondary, 3 = community, 4 = unverified. Every snapshot is archived; see all sources and the methodology.

Data quality (60/100) measures how well AI Atlas knows this entity — completeness, primary-source ratio, freshness, conflicts — never how good the model is. Methodology →