GLM-5.2

GLM-5.2 is positioned as a flagship release focused on long-horizon work, with its publisher describing it as a substantial leap over the preceding GLM-5.1 in sustained, multi-step task capability. The headline change is a solid the cataloged API limit context window that is built to stay usable across long, messy coding-agent trajectories rather than simply accepting more tokens. Around that long-context core, the release introduces an "Advanced Coding with Flexible Effort" mode that exposes multiple thinking effort levels so users can trade raw performance against latency, matching the model's depth of reasoning to the size of the task at hand.

On the architecture side, GLM-5.2 is presented alongside an efficiency-oriented technique called IndexShare, which reuses a single indexer across every four sparse attention layers to reduce per-token compute at the cataloged API limit lengths, alongside an improved multi-token prediction layer that is said to boost speculative decoding acceptance. Weights are released openly under an MIT-style license with no regional restrictions, and the project is publicly distributed through GitHub and Hugging Face, making the model a practical fit for teams that want a strong long-context, coding-leaning model they can self-host, fine-tune, or wire into agent frameworks without licensing friction.