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  4. GLM 4.6
Z AI
Released September 30, 2025Cutoff March 2025

GLM 4.6

GLM 4.6 by Z.AI (Zhipu AI) is a 355B MoE model with a 200K context window, tool-use reasoning, open weights, and agentic coding focus.

Visit Z AIAnnouncement
Inputs
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Outputs
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Model Overview

Capabilities, design details, and architectural traits

GLM 4.6 – Agentic MoE Foundation Model

GLM 4.6 is Z.AI's (Zhipu AI) flagship Mixture-of-Experts language model positioned for agentic workflows, long-context reasoning, and real-world coding. Official materials describe it as an incremental but material step over GLM-4.5, with a larger context window and stronger practical task performance.

Distinctive Traits

  • Agentic workflow focus: Official descriptions emphasize tool use, multi-step reasoning, and practical coding in agent environments.
  • Long-context handling: The model extends to a 200K-token input window, with 128K maximum output tokens.
  • Open-weight release: The Hugging Face card lists an MIT license, supporting commercial use and local deployment.
  • Coding-agent integration: Documentation and ecosystem references mention use with Claude Code, Cline, Roo Code, and Kilo Code.

Why It Exists

GLM 4.6 is presented as a flagship release for users who need a model that can handle longer context, tool-assisted reasoning, and production coding workflows without giving up open-weight deployment options.

Benchmark Performance

Independent evaluations · Artificial Analysis

29.3%
Intelligence
45.8%
Coding Index
18.6%
Agentic Index

Accuracy & Capability Details

GPQA - Graduate Science78.0%
Humanity's Last Exam14.5%
SciCode - Scientific Coding38.4%
Instruction Following43.4%
Long Context Reasoning55.3%
τ²-Bench - Agentic Tasks70.5%
TerminalBench - System Control25.0%
Specs
Context window
203Ktokens
Input pricing
$0.57per 1M tokens
Output pricing
$2.20per 1M tokens

Prices in USD.

Key Capabilities & Ratings

Scientific Biology80%
General Knowledge80%
Physics Problems80%
Chemistry Concepts80%
Frontend Dev70%

Compare Models Side-by-Side

Evaluate specifications, pricing, and independent benchmark indices

Model Details
General Info
ProviderZ AIAnthropicAnthropic
Release DateSeptember 30, 2025July 24, 2026June 9, 2026
Knowledge CutoffMar 2025May 2026-
Context & Limits
Context Window203K
1M
Best Context Window
1M
Best Context Window
Pricing (per 1M tokens)
Input Pricing
$0.57
Best Input Pricing
$5$10
Output Pricing
$2.20
Best Output Pricing
$25$50
Modalities
Inputs
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Outputs
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Benchmarks (0-100)
Intelligence Index23.4
63.1
Best Intelligence Index
62.1
Coding Index-
78.0
Best Coding Index
76.5
Agentic Index-
59.2
Best Agentic Index
56.6
GLM 4.6
Claude Opus 5
Claude Fable 5

GPQA Benchmark

Graduate-level reasoning and expert Q&A evaluation.

63%
GLM 4.6
GPQA Benchmark
Score: 63%
GLM 4.6
93%
Claude Opus 5
GPQA Benchmark
Score: 93%
Claude Opus 5
93%
Claude Fable 5
GPQA Benchmark
Score: 93%
Claude Fable 5

Humanity's Last Exam

Extremely difficult logical reasoning and knowledge.

6%
GLM 4.6
Humanity's Last Exam
Score: 6%
GLM 4.6
55%
Claude Opus 5
Humanity's Last Exam
Score: 55%
Claude Opus 5
56%
Claude Fable 5
Humanity's Last Exam
Score: 56%
Claude Fable 5

Long Context Reasoning

Logical reasoning over long context windows.

28%
GLM 4.6
Long Context Reasoning
Score: 28%
GLM 4.6
76%
Claude Opus 5
Long Context Reasoning
Score: 76%
Claude Opus 5
77%
Claude Fable 5
Long Context Reasoning
Score: 77%
Claude Fable 5

Independent evaluation data provided by Artificial Analysis. To view the latest benchmarks and full details, visit their official site.

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