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Zhipu AI model product

GLM 4.6

5.

Updated Aug 17, 2026. Default version: GLM-4.6

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LLMBoard Score53.6GLM-4.6
Coverage80%7 benchmark families
Context window204.8KTokens
Official input price$0.60Zhipu AI API

On this page

  • Capability
  • Benchmarks
  • Arena
  • Pricing
  • Runtime
  • Specification
  • Versions
  • Compare
  • Similar models
  • About
  • FAQ

GLM 4.6 Capability Profile

This profile uses the model's current scored version. Arena ratings and prices are shown separately.

GLM-4.6 LLMBoard score breakdown

GLM 4.6 Benchmark Results

Benchmark scores for GLM-4.6.

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Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkTerminal-BenchScore40.5%Rank08Participants25Percentile70.8%EvidenceCEvaluatedAug 17, 2026
BenchmarkLiveCodeBench v6Score82.8%Rank16Participants56Percentile72.7%EvidenceCEvaluatedAug 17, 2026
BenchmarkAIME 2025Score93.9%Rank28Participants115Percentile76.3%EvidenceCEvaluatedAug 17, 2026
BenchmarkBrowseCompScore45.1%Rank50Participants62Percentile19.7%EvidenceCEvaluatedAug 17, 2026
BenchmarkHumanity's Last ExamScore17.2%Rank71Participants99Percentile28.6%EvidenceCEvaluatedAug 17, 2026
BenchmarkSWE-Bench VerifiedScore68.0%Rank72Participants111Percentile35.5%EvidenceCEvaluatedAug 17, 2026
BenchmarkGPQAScore81.0%Rank86Participants239Percentile64.3%EvidenceCEvaluatedAug 17, 2026

GLM 4.6 Arena Results

Preference and agent-evaluation results for the default version.

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Arena
Category
Rank
Rating / score
Votes
Observations
Result date
ArenatextCategoryoverallRank60Rating / score1439.7Votes35,836ObservationsN/AResult dateAug 12, 2026
Arenatext factualityCategoryoverallRank61Rating / score1447.1Votes28,633ObservationsN/AResult dateAug 12, 2026
ArenawebdevCategoryoverallRank87Rating / score1340.1Votes6,607ObservationsN/AResult dateAug 14, 2026
Arenatext style controlCategoryoverallRank103Rating / score1424.3Votes35,836ObservationsN/AResult dateAug 12, 2026

GLM 4.6 Pricing

Official vendor API pricing appears first, followed by individual provider offers.

Official API
$0.60 input, $2.2 output per 1M
Official provider
Zhipu AI
Lowest third-party
From $0.286 input, $1.14 output per 1M via 302.AI
Tracked offerings
26
25 rows
Columns

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Provider
Provider model ID
Region
Input / 1M
Output / 1M
Context
Updated
ProvideriFlowProvider model IDglm-4.6RegionglobalInput / 1MN/AOutput / 1MN/AContext200KUpdatedAug 17, 2026
ProviderModelScopeProvider model IDZhipuAI/GLM-4.6RegionglobalInput / 1MN/AOutput / 1MN/AContext202.8KUpdatedAug 17, 2026
Provider302.AIProvider model IDglm-4.6RegionglobalInput / 1M$0.286Output / 1M$1.14Context204.8KUpdatedAug 17, 2026
ProviderNanoGPTProvider model IDz-ai/glm-4.6RegionglobalInput / 1M$0.35Output / 1M$1.4Context200KUpdatedAug 17, 2026
ProviderZenMuxProvider model IDz-ai/glm-4.6RegionglobalInput / 1M$0.35Output / 1M$1.54Context200KUpdatedAug 17, 2026
ProviderIO.NETProvider model IDzai-org/GLM-4.6RegionglobalInput / 1M$0.40Output / 1M$1.75Context200KUpdatedAug 17, 2026
ProviderOfoxProvider model IDz-ai/glm-4.6RegionglobalInput / 1M$0.40Output / 1M$1.9Context204.8KUpdatedAug 17, 2026
ProviderVenice AIProvider model IDzai-org-glm-4.6RegionglobalInput / 1M$0.43Output / 1M$1.75Context198KUpdatedAug 17, 2026
ProviderHeliconeProvider model IDglm-4.6RegionglobalInput / 1M$0.45Output / 1M$1.5Context204.8KUpdatedAug 17, 2026
ProviderMeganovaProvider model IDzai-org/GLM-4.6RegionglobalInput / 1M$0.45Output / 1M$1.9Context202.8KUpdatedAug 17, 2026
ProviderDeep InfraProvider model IDzai-org/GLM-4.6RegionglobalInput / 1M$0.50Output / 1M$2Context202.8KUpdatedAug 17, 2026
ProviderHugging FaceProvider model IDzai-org/GLM-4.6RegionglobalInput / 1M$0.55Output / 1M$2.2Context204.8KUpdatedAug 17, 2026
ProviderOpenRouterProvider model IDz-ai/glm-4.6RegionglobalInput / 1M$0.55Output / 1M$2.2Context204.8KUpdatedAug 17, 2026
ProviderNovitaAIProvider model IDzai-org/glm-4.6RegionglobalInput / 1M$0.55Output / 1M$2.2Context204.8KUpdatedAug 17, 2026
ProviderLLM GatewayProvider model IDglm-4.6RegionglobalInput / 1M$0.55Output / 1M$2.2Context204.8KUpdatedAug 17, 2026
ProviderKilo GatewayProvider model IDz-ai/glm-4.6RegionglobalInput / 1M$0.55Output / 1M$2.2Context204.8KUpdatedAug 17, 2026
ProviderOrcaRouterProvider model IDz-ai/glm-4.6RegionglobalInput / 1M$0.60Output / 1M$2.2Context204.8KUpdatedAug 17, 2026
ProviderImpossiblProvider model IDzai/glm-4.6RegionglobalInput / 1M$0.60Output / 1M$2.2Context204.8KUpdatedAug 17, 2026
ProviderZ.AIProvider model IDglm-4.6RegionglobalInput / 1M$0.60Output / 1M$2.2Context204.8KUpdatedAug 17, 2026
ProviderMerge GatewayProvider model IDzai/glm-4.6RegionglobalInput / 1M$0.60Output / 1M$2.2Context200KUpdatedAug 17, 2026
ProviderZhipu AIProvider model IDglm-4.6RegionglobalInput / 1M$0.60Output / 1M$2.2Context204.8KUpdatedAug 17, 2026
ProviderOpenCode ZenProvider model IDglm-4.6RegionglobalInput / 1M$0.60Output / 1M$2.2Context204.8KUpdatedAug 17, 2026
ProviderVercel AI GatewayProvider model IDzai/glm-4.6RegionglobalInput / 1M$0.60Output / 1M$2.2Context200KUpdatedAug 17, 2026
ProviderEden AIProvider model IDzai/glm-4.6RegionglobalInput / 1M$0.60Output / 1M$2.2Context202.8KUpdatedAug 17, 2026
ProviderAbacusProvider model IDzai-org/GLM-4.6RegionglobalInput / 1M$0.60Output / 1M$2.2Context202.8KUpdatedAug 17, 2026

Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.

GLM 4.6 Runtime Performance

Provider-specific output speed and catalog latency for GLM-4.6. Runtime does not affect the capability score.

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Provider
Output Speed
Catalog Latency
Max Input
Max Output
Updated
ProviderDeepInfraOutput Speed85 tok/sCatalog Latency0.7 sMax Input131.1KMax Output65.5KUpdatedAug 17, 2026

Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.

GLM 4.6 Specifications

Technical details for the model's default version.

Version
GLM-4.6
Released
Sep 30, 2025
Knowledge cutoff
Apr 1, 2025
Parameters
357B
Context window
204.8K
Max output
131.1K
Inputs
image, text, video
Outputs
text
Open weights
Yes
License
MIT

GLM 4.6 Versions

Available versions of this model. The score column identifies the version used in the overall ranking.

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Version
Released
LLMBoard
Parameters
Context
Max output
Open weights
License
VersionGLM-4.6ReleasedSep 30, 2025LLMBoard53.6Parameters357BContext204.8KMax output131.1KOpen weightsYesLicenseMIT

GLM 4.6 vs nearby models

Open a comparison with the three ranked models immediately above and below this model.

GLM 4.6vsQwen3.6 35B A3BGLM 4.6vsGrok 3GLM 4.6vsMAI Thinking 1GLM 4.6vsGPT-5.5-InstantGLM 4.6vsGrok 4 FastGLM 4.6vsMiniMax M2.1

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What is GLM 4.6?

Key information about GLM 4.6 and its available data.

5. Key features include: 200K token context window (expanded from 128K), superior coding performance with better real-world application in Claude Code/Cline/Roo Code/Kilo Code, advanced reasoning with tool use during inference, stronger agent capabilities, and refined writing aligned with human preferences.

6% win rate) on CC-Bench real-world coding tasks.

Data as of 2026-08-17.

FAQ

Common questions about GLM 4.6.

When was GLM 4.6 released?

GLM 4.6's default version was released on Sep 30, 2025.

How much does GLM 4.6 cost?

GLM 4.6's official API price is $0.60 per million input tokens and $2.2 per million output tokens via Zhipu AI. The lowest tracked third-party offer starts at $0.286 input and $1.14 output via 302.AI.

Who created GLM 4.6?

GLM 4.6 was created by Zhipu AI.

What is the context window for GLM 4.6?

The default version has a 204.8K token context window.

Is GLM 4.6 open weight?

Yes. The default version is marked as open weight under MIT.

How many API providers offer GLM 4.6?

26 provider offerings are linked to the default version.

What models should I compare GLM 4.6 with?

Nearby ranked alternatives include Qwen3.6 35B A3B, Grok 3, MAI Thinking 1.