Qwen: Qwen3 VL 235B A22B Instruct
Vision Meets Reasoning
Process Images, Generate Text
Multimodal Input
Images and Video
Handles text, images, video for VQA, OCR, document parsing with 262K context.
Agent Capabilities
GUI and Tool Use
Operates interfaces, aligns video timelines, supports multi-image dialogues.
Visual Coding
Sketches to Code
Converts mockups to Draw.io, HTML/CSS/JS; aids UI debugging workflows.
Examples
See what Qwen: Qwen3 VL 235B A22B Instruct can create
Copy any prompt below and try it yourself in the playground.
Chart Analysis
“Analyze this sales chart image. Extract key trends, totals, and comparisons across quarters. Provide data in table format.”
Document OCR
“Extract all text from this multilingual invoice image. Identify fields like date, amount, vendor. Output as JSON.”
Spatial Grounding
“Describe object positions in this room photo. Ground locations in 2D coordinates. Note occlusions and viewpoints.”
Video Timeline
“From this video frame sequence, locate event at 1:23. Describe actions, align text to seconds.”
For Developers
A few lines of code.
Multimodal inference. Few lines.
ModelsLab handles the infrastructure: fast inference, auto-scaling, and a developer-friendly API. No GPU management needed.
- Serverless: scales to zero, scales to millions
- Pay per token, no minimums
- Python and JavaScript SDKs, plus REST API
import requestsresponse = requests.post("https://modelslab.com/api/v7/llm/chat/completions",json={"key": "YOUR_API_KEY","prompt": "","model_id": ""})print(response.json())
Ready to create?
Start generating with Qwen: Qwen3 VL 235B A22B Instruct on ModelsLab.