GLM-4.6

GLM-4.6 is a large language model in the GLM family positioned for agentic coding and reasoning workflows. It evolved from GLM-4.5 with clear gains on eight public benchmarks spanning agent, reasoning, and coding tasks, where it held competitive advantages against contemporaries such as DeepSeek-V3.1-Terminus and Claude Sonnet 4. The model is designed to function as a software collaborator rather than a simple text generator, with tool use integrated during inference so it can chain actions inside agent frameworks rather than only emitting responses in isolation.

In practical use, GLM-4.6 performs well inside popular agent harnesses such as Claude Code, Cline, Roo Code, and Kilo Code, producing more polished front-end output and handling longer, multi-step tasks thanks to its expanded context window. It also shows stronger search-based and tool-using agent behavior, with refined writing that aligns more naturally with human style preferences and role-play scenarios. Teams building autonomous coding assistants, research agents, or long-context pipelines benefit most, since the model trades raw chat quality for deeper tool integration and sustained multi-turn agent execution.