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Z.ai ships GLM-5.3 with post-training gains in coding and cybersecurity

Z.ai has released GLM-5.3, an updated model that leverages the same base architecture as its predecessor, GLM-5.2. Significant performance improvements in complex coding and cybersecurity tasks have been achieved through scaled post-training, rather than retraining the base model. While GLM-5.3 shows substantial gains on benchmarks like Terminal-Bench 3.0 and CyberGym, its weights will be released in approximately two weeks following safety evaluations. AI

IMPACT Sets new SOTA on specific cybersecurity benchmarks, potentially impacting the security tooling and vulnerability discovery industries.

RANK_REASON Frontier-lab model release with system card. [lever_c_demoted from frontier_release: ic=1 ai=1.0]

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Z.ai ships GLM-5.3 with post-training gains in coding and cybersecurity

COVERAGE [1]

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

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

    <p>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…