Z.ai Ships GLM-5.3 Without Retraining the Base Model: Better at Complex Coding and Long-Horizon Tasks

Z.ai released GLM-5.3 on August 14, 2026, reusing the 743B GLM-5.2 base model unchanged and achieving gains solely through scaled post-training. Terminal-Bench 3.0 scores rose from 4.6 to 28.3, DeepSWE v1.1 from 46.2 to 66.9, and CyberGym reached 84.5%, with ExploitBench more than doubling to 54.4%. Weights are expected in about two weeks.

Z.ai released GLM-5.3 on August 14, 2026. The model reuses the 743B GLM-5.2 base unchanged. Every reported gain comes from scaled post-training: more long-horizon task environments, more environment types, longer training. Terminal-Bench 3.0 moves from 4.6 to 28.3, and DeepSWE v1.1 from 46.2 to 66.9. Cybersecurity moved further than Z.ai says it planned, with CyberGym at 84.5% and ExploitBench more than doubling to 54.4%. Weights arrive in about two weeks. The post Z.ai Ships GLM-5.3 Without Retraining the Base Model: Better at Complex Coding and Long-Horizon Tasks https://www.marktechpost.com/2026/08/14/z-ai-ships-glm-5-3-without-retraining-the-base-model-better-at-complex-coding-and-long-horizon-tasks/ appeared first on MarkTechPost https://www.marktechpost.com .