GLM-5.2: Built for Long-Horizon Tasks
Models designed for extended reasoning over many steps may unlock capabilities in planning and multi-stage problem solving.
GLM-5.2 is a flagship AI model designed to handle long-horizon tasks, which are complex projects requiring sustained reasoning over many steps. The model can process 1 million tokens of context, meaning it can work with much longer documents and code than previous versions, while maintaining quality and reliability in real-world engineering scenarios. This matters because supporting long-context work requires the model to remain effective across extended, complex tasks like large-scale coding projects and debugging, not just accept more tokens theoretically. The model introduces architectural improvements including IndexShare, which reduces computational cost, and effort level controls that let users balance performance against speed and computational expense.
Explainer: GLM 5.2: How a 744B Open Model Is Closing the Gap With Claude Opus on Code
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