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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Inside GLM-5.2: Built for Extended Engineering Sessions
GLM-5.2 is a flagship foundation model designed for work that spans hours, not minutes. It offers a reliable 1M-token context and 128K output ceiling, with tuning for long-range coding agents, large-scale builds, automated research, and performance tuning. Teams can keep architecture rules and code style consistent while carrying an entire project inside one reasoning chain.
- 1M-Token Working MemoryGLM-5.2 gives development teams a practical 1M-token window for multi-file engineering and long-running agent tasks.
- Top-Tier Coding PerformanceOn widely used coding benchmarks, GLM-5.2 holds open-source SOTA and sits at the top of Code Arena among available models.
- Production-Grade DisciplineGLM-5.2 respects code style, architectural boundaries, and dependency rules across extended sessions, keeping output ready for production review.
Launch GLM-5.2 in Three Steps
Move from setup to deployment with GLM-5.2 in three clear steps for development and video creation workflows.
Capabilities Built into GLM-5.2
GLM-5.2 combines multiple thinking modes, live streaming, function calling, context caching, structured output, and MCP integration to support end-to-end development.
Adaptive Thinking Modes
GLM-5.2 switches between reasoning modes to match task complexity and delivery requirements.
Real-Time Streaming
GLM-5.2 streams responses as they are generated, keeping interactive apps responsive.
Tool and Function Calling
GLM-5.2 connects to external services and tools through robust function-calling support.
Smart Context Caching
GLM-5.2 caches relevant context to speed up long conversations and reduce repeated computation.
Structured Data Output
GLM-5.2 returns JSON and other structured formats for cleaner system integration and data pipelines.
MCP Tool Integration
GLM-5.2 can invoke external MCP tools and data sources to extend workflows and application scenarios.
GLM-5.2 Questions, Answered
Find clear answers about GLM-5.2 context limits, coding performance, speed, and supported project types.
What exactly is GLM-5.2?
GLM-5.2 is a flagship base model for long-running tasks, with a usable 1M-token context and 128K max output for project-level engineering.
Which tasks can GLM-5.2 handle?
GLM-5.2 supports long-range refactoring, mobile device debugging, mini-program and mini-game builds, research replication, and complete project engineering.
How quickly does GLM-5.2 respond?
GLM-5.2 uses streaming output and context caching to keep long sessions responsive and reduce latency on extended tasks.
Does GLM-5.2 perform well on coding work?
GLM-5.2 holds open-source SOTA on mainstream coding benchmarks and ranks first on Code Arena among available models, with quality comparable to Claude Opus 4.8.
How much context can GLM-5.2 process?
GLM-5.2 offers a solid 1M-token lossless context window, so it can handle project-level code and documentation with stable performance.
Which project types are a good fit for GLM-5.2?
GLM-5.2 fits web development, mobile apps, WeChat mini-programs, mini-games, scientific code replication, and coding-to-video workflows.
Put GLM-5.2 to Work Today
Launch your next long-context build with GLM-5.2 and use a practical 1M-token window for real development work.