GLM-5.2
GLM-5.2 is the flagship model built for the long-task era, featuring a truly usable 1M context window and 128K max output tokens. With GLM-5.2, developers can complete the entire development chain from requirements to deployable artifacts in a single continuous task. GLM-5.2 keeps engineering standards reliable across extended sessions.
Feedback
All Tools
Discover our comprehensive AI-powered animation toolkit

Why Choose GLM-5.2
GLM-5.2 is a flagship base model engineered for the long-task era, delivering a solid 1M lossless context and 128K max output tokens. GLM-5.2 has been reinforced for long-range coding agent scenarios, covering large-scale implementation, automated research, and performance optimization. With GLM-5.2, engineering standards remain reliable across extended sessions, and GLM-5.2 can carry complete project-level contexts within a single reasoning chain.
- 1M ContextGLM-5.2 supports a truly usable 1M context window for project-level engineering and long-running tasks.
- Coding ExcellenceGLM-5.2 maintains open-source SOTA on mainstream coding benchmarks and ranks first globally on Code Arena among available models.
- Engineering ComplianceGLM-5.2 follows production-grade engineering standards reliably, including code style, architecture boundaries, and dependency constraints.
How to Use GLM-5.2
Get started with GLM-5.2 in three straightforward steps for your development and video creation projects.
GLM-5.2 Features
GLM-5.2 delivers multiple thinking modes, streaming output, function call support, context caching, structured output, and MCP integration for comprehensive development workflows.
Thinking Modes
GLM-5.2 provides multiple thinking modes covering different task requirements and complexity levels.
Streaming Output
GLM-5.2 supports real-time streaming responses for improved interactive user experiences.
Function Call
GLM-5.2 offers powerful tool-calling capabilities, supporting integration with various external tools and services.
Context Caching
GLM-5.2 implements intelligent caching mechanisms to optimize long-conversation performance and reduce latency.
Structured Output
GLM-5.2 supports JSON and other structured format outputs for seamless system integration and data processing.
MCP Integration
GLM-5.2 can flexibly call external MCP tools and data sources to extend application scenarios and workflows.
GLM-5.2 — FAQ
Common questions and answers about GLM-5.2.
What is GLM-5.2?
GLM-5.2 is a flagship base model built for the long-task era, supporting a truly usable 1M context and 128K max output tokens for project-level engineering.
What can GLM-5.2 do?
GLM-5.2 handles project-level engineering, long-range refactoring, mobile real-device debugging, mini-program development, mini-game development, and research replication.
How fast is GLM-5.2?
GLM-5.2 processes long-range tasks efficiently with streaming output and context caching for optimized performance across extended sessions.
Is GLM-5.2 good at coding?
GLM-5.2 maintains open-source SOTA on mainstream coding benchmarks and ranks first globally on Code Arena among available models, comparable to Claude Opus 4.8.
What context length does GLM-5.2 support?
GLM-5.2 supports a solid 1M lossless context window, capable of handling project-level engineering contexts with stable performance.
What projects work with GLM-5.2?
GLM-5.2 is ideal for web development, mobile apps, WeChat mini-programs, mini-games, scientific research code replication, and coding-to-video workflows.
Try GLM-5.2 Today
Start building with GLM-5.2 and experience the power of a truly usable 1M context for your development projects.








