GLM 5.2
Z.AI
GLM 5.2 ranks first among open-weight models on the intelligence index. This mixture-of-experts architecture totals 744 billion parameters and targets reasoning, agentic use and code. Its tendency to reason at length calls for monitoring of output tokens.
Key points: First in quality · 744B mixture of experts · Reasoning and code · Agentic · Open weights.
Architecture
GLM 5.2 is a mixture-of-experts model with 744 billion parameters. Only a fraction of the experts activate per token, which contains the compute cost at inference.
Strengths
The model ranks first among open-weight models on the intelligence index. It targets reasoning, agentic use and code generation.
Use cases
GLM 5.2 serves demanding reasoning and coding tasks. Its tendency to reason at length calls for monitoring of output tokens to control cost.
Deployment
Served by vLLM on a GPU server, or by quantised llama.cpp. Together with DeepSeek V4, it forms the backbone of the dwarfstar stack.
All models on the platform are interchangeable through a single gateway: switching models amounts to changing one configuration line, with no code rewrite. The priority remains local execution.