GLM 4.6

GLM 4.6 is an open-weight large language model positioned around agentic, reasoning, and coding workloads. Its defining upgrade over the prior generation is a much larger context window, expanded from 128K to 200K tokens, which lets the model keep long instruction histories, multi-file codebases, or extended tool traces in a single pass. Because the weights are openly distributed, it can be self-hosted for private deployments or fine-tuned for specialized internal pipelines while still benefiting from a generally capable base model.

The model is tuned for tasks that combine reasoning with action: it supports tool use during inference, performs strongly inside agent frameworks such as Claude Code, Cline, Roo Code, and Kilo Code, and produces cleaner code for visually polished front-ends. Benchmarks across eight agent, reasoning, and coding suites show clear gains over its predecessor and competitive placement against DeepSeek-V3.1-Terminus and Claude Sonnet 4. Writing quality has also been refined for natural role-play and reader-friendly output, making the model a flexible choice for teams that want one backbone for chat assistants, code generation, and tool-driven automation rather than separate specialists.