qwenlm/qwen3-vl

Qwen3-VL is a series of AI models developed by the Qwen team at Alibaba Cloud that can understand and reason about both text and images or video at the same time, what AI researchers call a "vision-language model." The problem it solves is that most AI models can only process text, leaving them blind to visual information. Qwen3-VL bridges that gap, letting you feed in images, screenshots, documents, or video and get intelligent, contextual responses. The model comes in multiple sizes, from 2 billion parameters (lightweight, runs on-device) up to 235 billion parameters (cloud-scale, highly capable). There are two editions for each size: Instruct (straightforward Q&A) and Thinking (slower but performs deeper reasoning, good for math and STEM problems). Key capabilities include reading text from images in 32 languages (OCR), answering questions about charts and documents, controlling computer or phone user interfaces by "seeing" the screen, generating web code from visual mockups, and analyzing hours-long video with timestamps. You would use this when you need an AI that can look at a screenshot and describe what's happening, extract data from a scanned document, automate GUI tasks, or solve visual math problems. It's available via Hugging Face, ModelScope, and an API from Alibaba Cloud. The primary language for notebooks and examples is Python.