GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves on GLM-5.2 in coding and in the balance between performance and token efficiency. Reasoning is always on and cannot be disabled. Reasoning efforts low, high, and max are supported; max is the default.
- Context
- 1.0M
- Max output
- 943.7K
- Released
- 2026-08-18
- Input
- $0.07/M
- Output
- $1.4/M
- Cache read
- $0.069/M
GLM 5.2 is a large-scale reasoning model from Z.ai. It supports text input and output with a 1M-token context window, and is suited for long-horizon agent workflows, project-level software engineering, and complex multi-step automation. Reasoning efforts high and xhigh are supported; xhigh maps to max reasoning. It is particularly strong at coding and tool use across long-running tasks, able to maintain engineering context and follow standards consistently through a full development workflow, from requirements to multi-platform deployment, in a single task.
- Context
- 1.0M
- Max output
- 943.7K
- Released
- 2026-06-16
- Input
- $0.034/M
- Output
- $7/M
- Cache read
- $0.033/M
GLM-5 is Z.ai’s flagship open-source foundation model engineered for complex systems design and long-horizon agent workflows. Built for expert developers, it delivers production-grade performance on large-scale programming tasks, rivaling leading closed-source models. With advanced agentic planning, deep backend reasoning, and iterative self-correction, GLM-5 moves beyond code generation to full-system construction and autonomous execution.
- Context
- 205K
- Max output
- 131.1K
- Released
- 2026-02-11
- Input
- $1/M
- Output
- $3.2/M
- Cache read
- $0.2/M