zai-org/GLM-5.3 · Hugging Face
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Hugging Face 相关模型动态已经出现，适合跟踪能力变化、生态影响和后续可用性。
zai-org开发的GLM-5.3是一个新的开源模型，它在复杂编码和长周期任务方面显著优于GLM-5.2。GLM-5.3与GLM-5.2使用相同的基本模型，所有改进都来自后期训练。GLM-5.3在内部Z.ai Code Bench上比GLM-5.2提高了50%，并在Terminal Bench 3.0和Agents' Last Exam等公共基准测试中达到了开源SOTA，使其成为目前编码能力最强的开源模型。
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.