GLM-4.5
Zhipu AI · open weight · glm-4.5
GLM-4.5 is an Agentic, Reasoning, and Coding (ARC) foundation model designed for intelligent agents, featuring 355 billion total parameters with 32 billion active parameters using MoE architecture. Trained on 23T tokens through multi-stage training, it is a hybrid reasoning model that provides two modes: thinking mode for complex reasoning and tool usage, and non-thinking mode for immediate responses. The model unifies agentic, reasoning, and coding capabilities with 128K context length support. It achieves exceptional performance with a score of 63.2 across 12 industry-standard benchmarks, placing 3rd among all proprietary and open-source models. Released under MIT open-source license allowing commercial use and secondary development.
Benchmark scores
| Benchmark | Score |
|---|---|
| MATH-500 | 0.98 |
| AIME 2024 | 0.91 |
| MMLU-Pro | 0.85 |
| GPQA | 0.79 |
| BFCL-v3 | 0.78 |
| LiveCodeBench | 0.73 |
| SWE-Bench Verified | 0.64 |
| Humanity's Last Exam | 0.14 |
Pricing
- No provider pricing.
AA metrics
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Arena Elo
- No Arena snapshot linked.
