Introducing GLM-5.2: Frontier Intelligence, Open Weights - Significant improvements in coding and agentic tasks - Strong long-horizon capabilities with a 1M context window - Two levels of reasoning effort: GLM-5.2 (max) pushes the limits, while GLM-5.2 (high) strikes a strong balance between performance and token efficiency - MIT-licensed open weights - Same API pricing as GLM-5.1 Tech Blog: https://t.co/LAsxUdN0JZ Weights: https://t.co/g0A1C4UWx4 API: https://t.co/Kc3E22cbN7 Coding Plan: https://t.co/Nk8Y98HNhU Chat:

GLM-5.2 leads GLM-5.1 by a wide margin across various domains, including coding, tool usage, reasoning, and general knowledge.

For GLM-5.2, we strengthened 1M-context training for coding agents across large-scale implementation, automated research, performance optimization, and complex debugging. The result is a long-context system that is both broad in scope and reliable in execution.

We also detail the infrastructure innovations powering our 1M context window and agentic RL. Explore the full breakdown at https://t.co/wDDG7PloPE.

GLM-5.2 ships MIT-licensed weights with a 1M trained for coding agents, at the same API price as GLM-5.1, so long-context work gets cheaper without a self-hosting requirement.
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