GLM-5

GLM-5 is positioned for complex systems engineering and long-running agentic tasks, extending the earlier family through substantially larger sparse architecture and broader pre-training. The official launch materials describe 744 billion total parameters with 40 billion active, alongside increased pre-training data and DeepSeek Sparse Attention intended to reduce deployment cost while retaining long-context capability. This makes it a practical fit for coding, systems work, and tool-driven workflows that require sustained reasoning rather than short, isolated responses.

The model’s later lineage shows continued gains from post-training: the August 2026 GLM-5.3 release used the same base model as GLM-5.2 and reported improvements in complex coding and long-horizon tasks, including a 50% improvement on Z.ai’s in-house Code Bench and state-of-the-art results on CyberGym. Those findings are useful indicators of the family’s direction, but they are vendor-reported claims rather than independent benchmark validation.