Qwen3 VL 235B A22B Instruct

Qwen3-VL-235B-A22B-Instruct is a flagship multimodal vision-language model developed by Alibaba's Qwen team. Utilizing a Mixture-of-Experts (MoE) architecture, the model contains approximately 235 billion total parameters, with 22 billion parameters activated per inference step. It is designed to provide unified comprehension of text, images, and video, reaching performance levels on par with top-tier language-only models while maintaining deep visual perception.

The model incorporates several structural innovations, including Interleaved-MRoPE for enhanced spatial and temporal positional embeddings and DeepStack, which fuses multi-level Vision Transformer features to improve image-text alignment. These updates allow the model to support a native context window of 256K tokens, expandable to 1 million tokens, enabling the processing of high-resolution documents and hours of video content with second-level indexing and full recall.

Key capabilities of the model include functioning as a Visual Agent that can operate PC and mobile graphical user interfaces by recognizing elements and invoking tools. It also features advanced Visual Coding capabilities, such as generating HTML/CSS or Draw.io code from visual mockups, and upgraded spatial reasoning for 2D and 3D object grounding. The model's instruction-tuned variant is optimized for complex reasoning in STEM fields, multilingual OCR support for 32 languages, and fine-grained visual recognition across diverse categories including landmarks and products.