GLM-5.3 Released: Post-Trained on 743B Base, Big Leaps in Coding and Cyber Defense

sudoraohacker · x · 2026-08-14

Zhipu released GLM-5.3, post-trained on a 743B base model, with top-tier coding and agentic capabilities and a major leap in cybersecurity. Developer thealexker notes gains come entirely from RL post-training, not architecture changes, with massive improvements in agentic coding using fewer output tokens. Environment design shapes tasks like units of expert work, e.g., ML infrastructure problems where the model accesses compute clusters, storage, docs, and must identify bottlenecks. Environment generation is agent-first: research agents convert real work patterns into runnable long-horizon envs, a judge agent verifies solvability.

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GLM-5.3 Released: Post-Trained on 743B Base, Big Leaps in Coding and Cyber Defense

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