TL;DR
The GLM-5 series is a large language model designed for long-horizon agentic tasks and complex coding, with the latest version GLM-5.2 delivering stable performance on a 1M-token context and achieving the best coding performance among open-source models.
Key features
Solid 1M Context: Large context supporting stable long-horizon work
Advanced Coding: Flexible reasoning with multiple thinking effort levels
IndexShare Architecture: Reuses indexers across sparse attention layers, reducing FLOPs by 2.9× at 1M context
Improved MTP Layer: Increases speculative decoding acceptance length by up to 20%
Asynchronous RL Framework slime: Improves large-scale RL training efficiency
When to use it
When you need long-horizon agentic tasks (e.g., complex software engineering, multi-step reasoning)
When analyzing or generating large codebases
When leveraging contexts longer than 1M tokens