The Qwen3-VL model is available in both Dense and Mixture of Experts (MoE) architectures, which allow it to scale efficiently from edge devices to cloud environments. It features a Visual Agent capable of operating on PC and mobile graphical user interfaces by recognizing UI elements, understanding their functions, and executing tasks through tool invocation. The model’s visual coding features enable it to generate graphics and code, such as Draw.io diagrams and HTML/CSS/JS code directly from visual media, vastly improving productivity in creative and development workflows.
Technological advancements in Qwen3-VL include improved spatial perception and 3D grounding for enhanced reasoning about object positioning and viewpoints, as well as a powerful expansion in optical character recognition (OCR) capabilities supporting 32 languages. This enables the model to accurately read and understand complex, low-quality, or rare textual content in images and documents. Qwen3-VL also supports native long context lengths up to 256K and can be extended up to 1 million tokens, allowing it to handle entire books or extended videos with precise content recall and secondary indexing for improved navigation and searchability.
