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.

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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 Context
    GLM-5.2 supports a truly usable 1M context window for project-level engineering and long-running tasks.
  • Coding Excellence
    GLM-5.2 maintains open-source SOTA on mainstream coding benchmarks and ranks first globally on Code Arena among available models.
  • Engineering Compliance
    GLM-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.

FAQ

GLM-5.2 — FAQ

Common questions and answers about GLM-5.2.

1

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.

2

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.

3

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.

4

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.

5

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.

6

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.