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Zhipu AI model product

GLM 4.7

7 is a coding‑centric model that thinks before acting, preserves its reasoning across turns, and lets you control thinking per request for speed or accuracy.

Updated Aug 17, 2026. Default version: GLM-4.7

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LLMBoard Score59.4GLM-4.7
Coverage80%13 benchmark families
Context window204.8KTokens
Official input price$0.60Zhipu AI API

On this page

  • Capability
  • Benchmarks
  • Arena
  • Pricing
  • Runtime
  • Specification
  • Versions
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GLM 4.7 Capability Profile

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

GLM-4.7 LLMBoard score breakdown

GLM 4.7 Benchmark Results

Benchmark scores for GLM-4.7.

13 rows
Columns

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Benchmark
Score
Rank
Participants
Percentile
Evidence
Evaluated
BenchmarkTau-benchScore87.4%Rank02Participants6Percentile80.0%EvidenceCEvaluatedAug 17, 2026
BenchmarkBrowseComp-zhScore66.6%Rank05Participants13Percentile66.7%EvidenceCEvaluatedAug 17, 2026
BenchmarkLiveCodeBench v6Score84.9%Rank12Participants56Percentile80.0%EvidenceCEvaluatedAug 17, 2026
BenchmarkIMO-AnswerBenchScore82.0%Rank13Participants20Percentile36.8%EvidenceCEvaluatedAug 17, 2026
BenchmarkTerminal-BenchScore33.3%Rank16Participants25Percentile37.5%EvidenceCEvaluatedAug 17, 2026
BenchmarkAIME 2025Score95.7%Rank21Participants115Percentile82.5%EvidenceCEvaluatedAug 17, 2026
BenchmarkSWE-bench MultilingualScore66.7%Rank25Participants38Percentile35.1%EvidenceCEvaluatedAug 17, 2026
BenchmarkMMLU-ProScore84.3%Rank29Participants134Percentile79.0%EvidenceCEvaluatedAug 17, 2026
BenchmarkHumanity's Last ExamScore42.8%Rank32Participants99Percentile68.4%EvidenceCEvaluatedAug 17, 2026
BenchmarkBrowseCompScore52.0%Rank42Participants62Percentile32.8%EvidenceCEvaluatedAug 17, 2026
BenchmarkSWE-Bench VerifiedScore73.8%Rank42Participants111Percentile62.7%EvidenceCEvaluatedAug 17, 2026
BenchmarkTerminal-Bench 2.0Score41.0%Rank45Participants51Percentile12.0%EvidenceCEvaluatedAug 17, 2026
BenchmarkGPQAScore85.7%Rank52Participants239Percentile78.6%EvidenceCEvaluatedAug 17, 2026

GLM 4.7 Arena Results

Preference and agent-evaluation results for the default version.

4 rows
Columns

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Arena
Category
Rank
Rating / score
Votes
Observations
Result date
ArenawebdevCategoryoverallRank54Rating / score1434.3Votes3,814ObservationsN/AResult dateAug 14, 2026
ArenatextCategoryoverallRank72Rating / score1435.3Votes12,162ObservationsN/AResult dateAug 12, 2026
Arenatext factualityCategoryoverallRank72Rating / score1443.2Votes11,742ObservationsN/AResult dateAug 12, 2026
Arenatext style controlCategoryoverallRank76Rating / score1441.5Votes12,162ObservationsN/AResult dateAug 12, 2026

GLM 4.7 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 $0.20 input, $0.80 output per 1M via Meganova
Tracked offerings
38
30 of 37 rows
Columns

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Provider
Provider model ID
Region
Input / 1M
Output / 1M
Context
Updated
ProviderZhipu AI Coding PlanProvider model IDglm-4.7RegionglobalInput / 1MN/AOutput / 1MN/AContext204.8KUpdatedAug 17, 2026
ProviderAlibaba Coding Plan (China)Provider model IDglm-4.7RegionglobalInput / 1MN/AOutput / 1MN/AContext202.8KUpdatedAug 17, 2026
ProviderZ.AI Coding PlanProvider model IDglm-4.7RegionglobalInput / 1MN/AOutput / 1MN/AContext204.8KUpdatedAug 17, 2026
ProviderAlibaba Coding PlanProvider model IDglm-4.7RegionglobalInput / 1MN/AOutput / 1MN/AContext202.8KUpdatedAug 17, 2026
ProviderKUAE Cloud Coding PlanProvider model IDGLM-4.7RegionglobalInput / 1MN/AOutput / 1MN/AContext204.8KUpdatedAug 17, 2026
ProviderMeganovaProvider model IDzai-org/GLM-4.7RegionglobalInput / 1M$0.20Output / 1M$0.80Context202.8KUpdatedAug 17, 2026
ProviderNanoGPTProvider model IDzai-org/glm-4.7RegionglobalInput / 1M$0.20Output / 1M$0.80Context200KUpdatedAug 17, 2026
ProviderCrofAIProvider model IDglm-4.7RegionglobalInput / 1M$0.25Output / 1M$1.1Context202.8KUpdatedAug 17, 2026
ProviderZenMuxProvider model IDz-ai/glm-4.7RegionglobalInput / 1M$0.28Output / 1M$1.14Context200KUpdatedAug 17, 2026
Provider302.AIProvider model IDglm-4.7RegionglobalInput / 1M$0.286Output / 1M$1.14Context204.8KUpdatedAug 17, 2026
ProviderLLM GatewayProvider model IDglm-4.7RegionglobalInput / 1M$0.38Output / 1M$1.98Context204.8KUpdatedAug 17, 2026
ProviderDeep InfraProvider model IDzai-org/GLM-4.7RegionglobalInput / 1M$0.40Output / 1M$1.75Context202.8KUpdatedAug 17, 2026
ProviderOpenRouterProvider model IDz-ai/glm-4.7RegionglobalInput / 1M$0.40Output / 1M$1.75Context204.8KUpdatedAug 17, 2026
ProviderOfoxProvider model IDz-ai/glm-4.7RegionglobalInput / 1M$0.40Output / 1M$2Context204.8KUpdatedAug 17, 2026
ProviderKilo GatewayProvider model IDz-ai/glm-4.7RegionglobalInput / 1M$0.40Output / 1M$1.75Context202.8KUpdatedAug 17, 2026
ProviderDInferenceProvider model IDglm-4.7RegionglobalInput / 1M$0.45Output / 1M$1.65Context200KUpdatedAug 17, 2026
ProviderCrossModelProvider model IDz-ai/glm-4.7RegionglobalInput / 1M$0.47Output / 1M$2.16Context200KUpdatedAug 17, 2026
ProviderVenice AIProvider model IDzai-org-glm-4.7RegionglobalInput / 1M$0.55Output / 1M$2.65Context198KUpdatedAug 17, 2026
ProviderOrcaRouterProvider model IDz-ai/glm-4.7RegionglobalInput / 1M$0.60Output / 1M$2.2Context204.8KUpdatedAug 17, 2026
ProviderVertexProvider model IDzai-org/glm-4.7-maasRegionglobalInput / 1M$0.60Output / 1M$2.2Context200KUpdatedAug 17, 2026
ProviderHugging FaceProvider model IDzai-org/GLM-4.7RegionglobalInput / 1M$0.60Output / 1M$2.2Context204.8KUpdatedAug 17, 2026
ProviderImpossiblProvider model IDzai/glm-4.7RegionglobalInput / 1M$0.60Output / 1M$2.2Context204.8KUpdatedAug 17, 2026
ProviderJiekou.AIProvider model IDzai-org/glm-4.7RegionglobalInput / 1M$0.60Output / 1M$2.2Context204.8KUpdatedAug 17, 2026
ProviderZ.AIProvider model IDglm-4.7RegionglobalInput / 1M$0.60Output / 1M$2.2Context204.8KUpdatedAug 17, 2026
ProviderAmazon BedrockProvider model IDzai.glm-4.7RegionglobalInput / 1M$0.60Output / 1M$2.2Context204.8KUpdatedAug 17, 2026
ProviderMerge GatewayProvider model IDzai/glm-4.7RegionglobalInput / 1M$0.60Output / 1M$2.2Context200KUpdatedAug 17, 2026
ProviderZhipu AIProvider model IDglm-4.7RegionglobalInput / 1M$0.60Output / 1M$2.2Context204.8KUpdatedAug 17, 2026
ProviderOpenCode ZenProvider model IDglm-4.7RegionglobalInput / 1M$0.60Output / 1M$2.2Context204.8KUpdatedAug 17, 2026
ProviderBasetenProvider model IDzai-org/GLM-4.7RegionglobalInput / 1M$0.60Output / 1M$2.2Context200KUpdatedAug 17, 2026
ProviderVercel AI GatewayProvider model IDzai/glm-4.7RegionglobalInput / 1M$0.60Output / 1M$2.2Context200KUpdatedAug 17, 2026
ProviderEden AIProvider model IDzai/glm-4.7RegionglobalInput / 1M$0.60Output / 1M$2.2Context202.8KUpdatedAug 17, 2026
ProviderNovitaAIProvider model IDzai-org/glm-4.7RegionglobalInput / 1M$0.60Output / 1M$2.2Context204.8KUpdatedAug 17, 2026
ProviderTensorXProvider model IDz-ai/glm-4.7RegionglobalInput / 1M$0.60Output / 1M$2.2Context200KUpdatedAug 17, 2026
ProviderAbacusProvider model IDzai-org/GLM-4.7RegionglobalInput / 1M$0.60Output / 1M$2.2Context204.8KUpdatedAug 17, 2026
ProviderBerget.AIProvider model IDzai-org/GLM-4.7RegionglobalInput / 1M$0.77Output / 1M$2.75Context128KUpdatedAug 17, 2026
ProviderCortecsProvider model IDglm-4.7RegionglobalInput / 1M$0.78Output / 1M$2.79Context202.8KUpdatedAug 17, 2026
ProviderMoarkProvider model IDGLM-4.7RegionglobalInput / 1M$3.5Output / 1M$14Context204.8KUpdatedAug 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 4.7 Runtime Performance

Provider-specific output speed and catalog latency for GLM-4.7. Runtime does not affect the capability score.

No runtime data

No provider-specific speed or latency record is linked to the default version yet.

Browse runtime rankings

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

GLM 4.7 Specifications

Technical details for the model's default version.

Version
GLM-4.7
Released
Dec 22, 2025
Knowledge cutoff
Apr 1, 2025
Parameters
358B
Context window
204.8K
Max output
131.1K
Inputs
text
Outputs
text
Open weights
Yes
License
MIT

GLM 4.7 Versions

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

1 rows
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Version
Released
LLMBoard
Parameters
Context
Max output
Open weights
License
VersionGLM-4.7ReleasedDec 22, 2025LLMBoard59.4Parameters358BContext204.8KMax output131.1KOpen weightsYesLicenseMIT

GLM 4.7 vs nearby models

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

GLM 4.7vsGPT-5.4-miniGLM 4.7vsQwen3.6 27BGLM 4.7vsGemma 4 31BGLM 4.7vsGPT-5.2-CodexGLM 4.7vsMiniMax M2.7GLM 4.7vsQwen3.5 122B A10B

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What is GLM 4.7?

Key information about GLM 4.7 and its available data.

7 is a coding‑centric model that thinks before acting, preserves its reasoning across turns, and lets you control thinking per request for speed or accuracy.

It upgrades agentic workflows with stronger multi‑step tool use, better terminal and multilingual coding, and a noticeable jump in UI output quality for modern, clean webpages and slides. ai API, and even run it locally with public weights on HuggingFace and ModelScope using vLLM or SGLang.

Data as of 2026-08-17.

FAQ

Common questions about GLM 4.7.

When was GLM 4.7 released?

GLM 4.7's default version was released on Dec 22, 2025.

How much does GLM 4.7 cost?

GLM 4.7'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 $0.20 input and $0.80 output via Meganova.

Who created GLM 4.7?

GLM 4.7 was created by Zhipu AI.

What is the context window for GLM 4.7?

The default version has a 204.8K token context window.

Is GLM 4.7 open weight?

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

How many API providers offer GLM 4.7?

38 provider offerings are linked to the default version.

What models should I compare GLM 4.7 with?

Nearby ranked alternatives include GPT-5.4-mini, Qwen3.6 27B, Gemma 4 31B.