GLM-5.2
GLM-5.2 is a next-generation flagship model purpose-built for the era of extended tasks. It offers a production-ready 1M context window combined with 128K maximum output tokens, allowing developers to move from initial specifications to deployable artifacts within a single continuous workflow. GLM-5.2 maintains reliable engineering standards throughout prolonged development sessions.
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What Makes GLM-5.2 Different
GLM-5.2 represents a major leap forward as a flagship base model designed for the long-task era. It features a reliable 1M lossless context window paired with 128K maximum output tokens. The model has been specifically optimized for extended coding agent workflows, handling large-scale implementations, automated research pipelines, and performance tuning with ease. With this architecture, consistent engineering quality is preserved across lengthy reasoning chains, and complete project-level contexts are carried within a single train of thought.
- 1M Context WindowGLM-5.2 delivers a fully usable 1M context capacity designed for project-scale engineering and sustained multi-step tasks.
- Coding Benchmark LeadershipGLM-5.2 holds open-source SOTA across leading coding benchmarks and ranks first worldwide on Code Arena among all publicly available models.
- Production-Grade ComplianceThe model reliably follows engineering best practices including code style conventions, architectural boundaries, and dependency management rules.
Getting Started with GLM-5.2
Follow three simple steps to begin using GLM-5.2 for your development and video generation projects.
Core Capabilities of GLM-5.2
The model provides multiple thinking modes, real-time streaming, function calling, context caching, structured output formatting, and MCP connectivity to support comprehensive development pipelines.
Multiple Thinking Modes
GLM-5.2 offers a range of thinking approaches tailored to different task requirements and complexity levels.
Real-Time Streaming
GLM-5.2 supports live streaming responses that create a smoother and more interactive user experience.
Tool Calling Support
Advanced function-calling capabilities allow the model to integrate seamlessly with external tools and third-party services.
Intelligent Context Caching
Built-in caching mechanisms reduce latency and optimize performance during extended conversational sessions.
Structured Data Output
GLM-5.2 supports JSON and other structured formats to simplify system integration and downstream data handling.
MCP Ecosystem Integration
The model can dynamically invoke external MCP tools and data sources, expanding its reach across diverse application scenarios.
GLM-5.2 — Frequently Asked Questions
Find quick answers to common queries about the model and its capabilities.
What exactly is GLM-5.2?
GLM-5.2 is a premium base model engineered for the long-task era, featuring a production-ready 1M context window and up to 128K output tokens for project-level work.
What tasks can it handle?
The model excels at project-level engineering, large-scale refactoring, mobile debugging, mini-program and mini-game development, as well as research paper replication.
How fast does it perform?
Long-range tasks are processed efficiently through streaming output and context caching, ensuring smooth performance throughout extended development sessions.
Is it strong at code generation?
GLM-5.2 achieves open-source SOTA on major coding benchmarks and holds the top global position on Code Arena, with results comparable to Claude Opus 4.8.
What context length does it offer?
A solid 1M lossless context window is supported, enabling stable handling of project-level engineering contexts without degradation.
Which project types fit best?
Ideal applications include web and mobile development, WeChat mini-programs, mini-games, scientific code replication, and coding-to-video pipelines.
Start Building with GLM-5.2 Today
Put the model to work on your next project and take advantage of its production-grade 1M context for faster, more reliable development outcomes.