Zhipu AI Launches GLM-5.3: Sweeping Terminal Bench 3.0, CyberGym (84.5%), and AutomationBench

Por Dr. Erik Vandeberg • Publicado el 2026-09-11 • 5 min read • Fuente: Zhipu AI / Z.ai

GLM-5.3 achieves open-source SOTA on Terminal Bench 3.0 (28.3%) and scores 84.5% on CyberGym vulnerability discovery, establishing a new bar for autonomous terminal coding and cyber engineering.

Zhipu AI (Z.ai) has released **GLM-5.3** and **GLM-5.3-Flash**, demonstrating emergent capabilities in automated software engineering and cybersecurity.

Unprecedented Cybersecurity & Vulnerability Discovery Scaling post-training on high-fidelity vulnerability simulations unlocked remarkable cyber capabilities in GLM-5.3: - 84.5% on CyberGym: The highest score recorded across all open and closed frontier models. - ExploitGym (6h): 130 successful vulnerability chains, more than doubling GLM-5.2's score of 39. - AutomationBench (v1.0.6): 48.2%, outperforming both Claude Opus 4.8 and GPT-5.6 Sol in real-world system automation.

Terminal Bench 3.0 Leadership On the notoriously difficult Terminal Bench 3.0—which evaluates multi-step bash debugging, environment recovery, and tool compilation—GLM-5.3 scored 28.3%, surpassing Kimi K3 (17.4%) and GLM-5.2 (4.6%).

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Zhipu AI Launches GLM-5.3: Sweeping Terminal Bench 3.0, CyberGym (84.5%), and AutomationBench

Terminal Bench 3.0 Leadership On the notoriously difficult Terminal Bench 3.0—which evaluates multi-step bash debugging, environment recovery, and tool compilation—GLM-5.3 scored **28.3%**, surpassing Kimi K3 (17.4%) and GLM-5.2 (4.6%).

Fuente y Verificación

Terminal Bench 3.0 Leadership On the notoriously difficult Terminal Bench 3.0—which evaluates multi-step bash debugging, environment recovery, and tool compilation—GLM-5.3 scored 28.3%, surpassing Kimi K3 (17.4%) and GLM-5.2 (4.6%).