Qwen: Qwen2.5 VL 32B Instruct
Vision Meets Reasoning
Process Multimodal Data
Image Analysis
Parse Charts Documents
Handles image-text reasoning, charts, UI, and document understanding with Qwen: Qwen2.5 VL 32B Instruct model.
Video Comprehension
Understand Long Videos
Analyzes videos over 1 hour for event detection using Qwen Qwen2 5 VL 32B Instruct API.
Agentic Tools
Visual Grounding Outputs
Generates bounding boxes, points, JSON for objects in Qwen: Qwen2.5 VL 32B Instruct alternative.
Examples
See what Qwen: Qwen2.5 VL 32B 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 in structured JSON format.”
Invoice Extraction
“Extract all fields from this invoice scan: date, items, totals, vendor details in JSON.”
Video Events
“From this video clip of a city timelapse, detect and describe traffic peaks and weather changes.”
UI Navigation
“Describe this app screenshot UI. Suggest steps to book a flight using visual elements.”
For Developers
A few lines of code.
Multimodal inference. One call.
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: Qwen2.5 VL 32B Instruct on ModelsLab.