zai-org/GLM-5.3 · Hugging Face
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GLM-5.3, developed by zai-org, is a new open-weights model that significantly improves upon GLM-5.2, particularly in complex coding and long-horizon tasks. It utilizes the same base model as GLM-5.2, with all enhancements stemming from post-training. GLM-5.3 demonstrates a 50% improvement over GLM-5.2 on the Z.ai Code Bench and achieves open-source SOTA on public benchmarks like Terminal Bench 3.0 and Agents' Last Exam, making it the most capable open-weights model for coding.
GLM-5.3 uses the same base model as GLM-5.2 — every gain comes from post-training. Compared with GLM-5.2, it is much better at complex coding and long-horizon tasks:
- Stronger Coding: GLM-5.3 is the most capable open-weights model for coding, with a 50% improvement over GLM-5.2 on our in-house Z.ai Code Bench. It also achieve open-source SOTA on public benchmarks including Terminal Bench 3.0 and Agents' Last Exam.
- Emergent Cyber Capability: As we scaled post-training, cyber capability developed faster than we expected. GLM-5.3 is state of the art on CyberGym for vulnerability discovery, and its gains are largest further up the exploitation chain, where it more than doubles GLM-5.2 on exploitation benchmarks.