Z.ai releases multimodal GLM-5.3-Flash weights
Z.ai released MIT-licensed GLM-5.3-Flash weights and API access. The mixture-of-experts model has 320 billion total and 18 billion active parameters, combines sparse and linear attention, accepts text and images, and supports long-context serving through vLLM, SGLang, TokenSpeed, KTransformers, and Docker Model Runner.
Why it matters: It offers a new inspectable multimodal agent model with permissive weights and a smaller active footprint than its total size, giving teams another route for controlled self-hosting and provider comparison.