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GLM 4.5

z-ai/glm-4.5
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GLM 4.5

z-ai/glm-4.5

GLM-4.5 is Z-AI's latest flagship foundation model, purpose-built for agent-based applications. It leverages a Mixture-of-Experts (MoE) architecture with 355B total / 32B active parameters and supports a context length of up to 128k tokens. GLM-4.5 delivers significantly enhanced capabilities in reasoning, code generation, and agent alignment.

Added Apr 15, 2025

Model weights

Context Window

128.0K

Max Output

65.5K

Input Price (Auto)

$0.30/1M

Output Price (Auto)

$1.30/1M

Cache Read (Auto)

$0.15/1M

Benchmarks

Performance metrics and benchmarks

Sourced from Artificial Analysis.

Intelligence Index

19.7

Better than 54% of models compared

Reasoning

GPQA Diamond

Graduate-level scientific reasoning

78.2%

Better than 67% of models compared

HLE

Humanity's Last Exam

13.0%

Better than 65% of models compared

IFBench

Instruction-following benchmark

44.1%

Better than 49% of models compared

T²-Bench Telecom

Conversational AI agents in dual-control scenarios

43.0%

Better than 48% of models compared

AA-LCR

Long context reasoning evaluation

51.7%

Better than 54% of models compared

Coding

SciCode

Python programming for scientific computing

34.8%

Better than 52% of models compared

Terminal-Bench Hard

Agentic coding and terminal use

22.0%

Better than 62% of models compared

LiveCodeBench

Contamination-free coding benchmark

73.8%

Better than 85% of models compared

Math

AIME 2025

American Invitational Mathematics Examination 2025

73.7%

Better than 69% of models compared

AIME

American Invitational Mathematics Examination

87.3%

Better than 94% of models compared

Math-500

Diverse mathematical problem solving benchmark

97.9%

Better than 90% of models compared

Knowledge

MMLU-Pro

Professional and academic subject knowledge

83.5%

Better than 84% of models compared

Last updated Aug 16, 2026

Artificial Analysis

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