GLM-5.3-Flash is the first open-source, native multimodal model in the GLM-5 series. It employs a hybrid sparse and linear computation architecture with 320 billion total parameters—of which only 18 billion are active—significantly reducing computational load and cache usage. The model supports visual coding, enabling continuous optimization through the synergy of code and interface interactions; it can also autonomously decompose tasks and invoke tools to efficiently deliver high-quality professional outputs such as PPTX and PDF files.
GLM-5.3-Flash is the first open-source, native multimodal model in the GLM-5 series. It employs a hybrid sparse and linear computation architecture with 320 billion total parameters—of which only 18 billion are active—significantly reducing computational load and cache usage. The model supports visual coding, enabling continuous optimization through the synergy of code and interface interactions; it can also autonomously decompose tasks and invoke tools to efficiently deliver high-quality professional outputs such as PPTX and PDF files.