GLM-5.3 post-training leap claims open-weights coding SOTA and cyber gains
Z.ai released GLM-5.3 (Aug 14), keeping the GLM-5.2 base and attributing every gain to scaled post-training on long-horizon coding and agent environments: +50% on in-house Z.ai Code Bench vs 5.2, open-source SOTA on Terminal Bench 3.0 (28.3 vs 4.6) and Agents’ Last Exam (28.5), plus DeepSWE v1.1 66.9 vs 46.2—often with fewer output tokens. Cyber capability grew faster than expected (CyberGym 84.5 SOTA; ExploitBench more than double 5.2), with staged disclosure of 2,436 vulns across 269 OSS projects; weights follow in ~two weeks after safety hardening, while GLM Coding Plan / ZCode users get access now with low/high/max reasoning effort (thinking cannot be disabled). Distinct from ZCode/GLM-5.2 and from Muse Glimmer / Qwen3.8-27B open-weight drops.
