#Coding Model (1)

GLM-5.3: the open-weights coding flagship bought with post-training alone

Z.ai post-trained the very same base as GLM-5.2 and nothing else, producing the 744B-A40B GLM-5.3: 50 percent over 5.2 on the in-house Z.ai Code Bench, open-weights first on Terminal Bench 3.0 at 28.3 and Agents' Last Exam at 28.5, while AutomationBench 48.2 and GDPVal-AA v2 1769 beat every closed-source comparison on the official chart; CyberGym vulnerability discovery is SOTA and the exploitation-chain gains emerged without dedicated training. The companion 320B-A18B Flash starts from a new base and is the first GLM to mix sparse with linear attention, attacking long-context serving cost. Weights ship in FP8 and BF16, deployable on SGLang, vLLM, KTransformers and the Ascend stack.