GLM 4.5
GLM-4.5 is a Mixture-of-Experts model built for agent-based applications, with 355B total / 32B active parameters and up to 128k context. It supports reasoning, code generation, and agent workflows.
Added Apr 15, 2025
Model weightsPricing
Auto routing · per 1M tokens- Input
- $0.30
- Output
- $1.30
Specifications
- Context window
- 128K
- Max output
- 65.5K
- Parameters
- 355B / 32B
- Total / active
- Avg output (7d)
- 759 tokens
- Longer than 62% of models
Benchmarks
Benchmarks
Sourced from Artificial Analysis.
Intelligence Index
12.8
Agentic work
T²-Bench Telecom (legacy)
Legacy fallback · Conversational AI agents in dual-control scenarios
43.0%
Better than 48% of models compared
Document reasoning
AA-LCR v1.1
Long context reasoning with updated grading
52.7%
Better than 45% of models compared
Reasoning
HLE
Humanity's Last Exam
13.0%
Better than 57% of models compared
IFBench
Instruction-following benchmark
44.1%
Better than 49% of models compared
Coding
Terminal-Bench Hard (legacy)
Legacy fallback · 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
Legacy benchmarks
GPQA Diamond (legacy)
Graduate-level scientific reasoning
78.2%
Better than 64% of models compared
AA-LCR (unversioned / legacy)
Long context reasoning evaluation
52.7%
Better than 44% of models compared
Last updated Oct 15, 2026
Artificial AnalysisProviders
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