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 GLM-5.2 Excels at Long-Horizon Workflows

As a leading base model built for long-running assignments, GLM-5.2 offers an uncompromising 1M-token context and up to 128K output tokens. It excels in extensive coding-agent scenarios—large-scale builds, autonomous research, and performance tuning—keeping quality high and letting you hold an entire project context in one reasoning chain.

  • Full-Project 1M Context
    Handle entire codebases and long-running jobs comfortably thanks to GLM-5.2's genuinely practical 1M-token context window.
  • Benchmark-Leading Code Skill
    GLM-5.2 consistently tops open-source coding benchmarks and ranks first worldwide on Code Arena across all accessible models.
  • Production-Ready Discipline
    GLM-5.2 enforces dependable engineering standards—consistent style, clean architecture boundaries, and strict dependency management—across every generation.

Make GLM-5.2 Work for You in 3 Simple Steps

Start building with GLM-5.2 quickly — follow three easy steps to power your development workflows and video creation projects.

Key Features Powering GLM-5.2

GLM-5.2 comes packed with versatile thinking modes, real-time streaming, function calling, context caching, structured responses, and MCP support—everything you need for complex builds.

Flexible Reasoning Modes

GLM-5.2 adapts its thinking strategy to match task difficulty, so you get the right level of logic for every request.

Live Response Streaming

GLM-5.2 streams answers in real time, making interactive experiences feel faster and more responsive.

Native Tool Calling

GLM-5.2 connects effortlessly with external services and APIs for powerful agentic workflows.

Smart Context Caching

GLM-5.2 caches conversation context intelligently, slashing latency and costs on long sessions.

Reliable Structured Output

GLM-5.2 returns clean JSON and other structured formats to keep system integrations simple and robust.

Seamless MCP Connectivity

GLM-5.2 reaches into external MCP tools and data sources, unlocking endless new possibilities and workflows.

FAQ

Quick Answers About GLM-5.2

Everything you need to know about GLM-5.2 — performance, use cases, and setup.

1

What exactly is GLM-5.2?

GLM-5.2 is a next-generation flagship AI model designed for long-running work. It offers a practical 1M-token context and up to 128K output tokens, making project-scale engineering seamless.

2

What can you build with GLM-5.2?

GLM-5.2 powers large-scale coding, long-horizon refactoring, on-device mobile debugging, mini-program and mini-game development, plus reproducibility for scientific research.

3

How quickly does GLM-5.2 respond?

GLM-5.2 keeps long tasks snappy thanks to streaming output and intelligent context caching, delivering strong performance even in marathon sessions.

4

Does GLM-5.2 excel at programming?

Absolutely. GLM-5.2 leads open-source models on mainstream coding tests and currently holds the global #1 spot on Code Arena, putting it on par with top proprietary systems.

5

How long can GLM-5.2 remember?

GLM-5.2 handles a robust, lossless 1M-token context, so entire projects stay in memory without performance degradation.

6

Which projects are a good fit for GLM-5.2?

GLM-5.2 shines in web apps, mobile development, WeChat mini-programs, mini-games, scientific code replication, and even coding-to-video pipelines.

Start Using GLM-5.2 Right Now

Begin exploring GLM-5.2 now and harness its game-changing 1M-token context to ship larger, smarter projects in record time.