Qwen3-VL 上线 Ollama 云端，本地版本即将推出

October 14, 2025

Qwen3-VL, the most powerful vision language model in the Qwen series is now available on Ollama’s cloud. The models will be made available locally soon.

Model capabilities

Visual Agent: Operates PC/mobile GUIs—recognizes elements, understands functions, invokes tools, completes tasks; Visual Coding Boost: Generates Draw.io/HTML/CSS/JS from images/videos; Advanced Spatial Perception: Judges object positions, viewpoints, and occlusions; provides stronger 2D grounding and enables 3D grounding for spatial reasoning and embodied AI; Long Context & Video Understanding: Native 256K context, expandable to 1M; handles books and hours-long video with full recall and second-level indexing; Enhanced Multimodal Reasoning: Excels in STEM/Math—causal analysis and logical, evidence-based answers; Upgraded Visual Recognition: Broader, higher-quality pre-training is able to recognize everything more types of objects—celebrities, anime, products, landmarks, flora/fauna, etc; Expanded OCR: Supports 32 languages (up from 19); robust in low light, blur, and tilt; better with rare/ancient characters and jargon; improved long-document structure parsing; Text Understanding on par with pure LLMs: Seamless text–vision fusion for lossless, unified comprehension

Download Ollama; Run the model

Prompt the model with a message and image path(s). It is possible to use multiple images and drag and drop in images to make it easier to automatically type the file path.

Examples

Flower identification

Prompt: What is this flower? Is it poisonous to cats?

Menu understanding and translation

Prompt: Show me the menu in English!

JavaScript Library

Install Ollama’s JavaScript library

Pull the model

Example non-streaming output with image

Example streaming the output with image

Ollama’s JavaScript library page on GitHub has more examples and API documentation.

Python Library

Install Ollama’s Python library

Pull the model

Example non-streaming output with image

Example streaming the output with image

Ollama’s Python library page on GitHub has more examples and API documentation.

API

The model can also be accessed directly on ollama.com’s API.

Generate an API key from Ollama; Set OLLAMA_API_KEY environment variable using your API key

Generate a response using API examples

OpenAI Compatible API

Ollama has OpenAI compatible API endpoints that support the chat completions endpoint, completions endpoint, and the embeddings endpoint.

Generate an API key from Ollama; The base_url should be set to https://ollama.com/v1 and api_key set to the one generated from above