GLM-5.2 (Non-reasoning)

GLM-5.2 is an open-weight, large-scale language model developed by Zhipu AI (branded internationally as Z.ai). Positioned as a flagship coding-first model, it is designed to handle long-horizon agentic tasks and project-level software engineering. The "Non-reasoning" designation refers to the model's standard execution mode, which is optimized for high throughput and low latency by bypassing the extended internal chain-of-thought cycles found in its "High" and "Max" thinking modes.

Technically, GLM-5.2 utilizes a Mixture-of-Experts (MoE) architecture totaling approximately 753 billion parameters, with roughly 40 billion active parameters per token. It introduces several architectural optimizations, most notably IndexShare, which reuses indexers across sparse attention layers to reduce per-token FLOPs by nearly 3x at extreme context lengths. The model also features an improved Multi-Token Prediction (MTP) layer to accelerate speculative decoding.

One of the model's primary strengths is its 1-million-token context window, which allows for the ingestion of entire codebases or massive document sets for complex cross-file refactoring and research. In its non-reasoning mode, GLM-5.2 focuses on direct execution and rapid response generation, making it suitable for standard developer workflows, real-time code completion, and high-volume tool-calling tasks.

Released under the MIT License, GLM-5.2 is intended to provide a transparent and accessible alternative to proprietary frontier models. While it shares the same foundational training as the reasoning-heavy variants, the non-reasoning configuration is the default for applications requiring a balance of frontier-level intelligence and operational speed without the computational cost of multi-stage internal reasoning.