Qwen2-VL (72B) Instruct
Vision, Video, Reasoning
See, Understand, Reason Better
Extended Context
Process 20+ Minute Videos
Handle long-form video content for QA, dialogue, and analysis without truncation.
Dynamic Resolution
Arbitrary Image Resolutions
Process images at any resolution with adaptive token mapping for optimal efficiency.
Multilingual Support
Global Text Recognition
Extract and understand text in 30+ languages, including European, Asian, and Arabic scripts.
Examples
See what Qwen2-VL (72B) Instruct can create
Copy any prompt below and try it yourself in the playground.
Document Analysis
“Analyze this architectural blueprint and extract all dimensions, materials, and structural specifications. Format the output as structured JSON with categories for walls, openings, and load-bearing elements.”
Video Event Detection
“Review this 15-minute surveillance footage and identify all significant events. For each event, provide timestamp, description, and confidence level. Output as a timeline with bounding box coordinates.”
Chart Data Extraction
“Extract all data from this financial chart including axis labels, data points, and trends. Return as CSV format with column headers and numerical values.”
Visual Localization
“Locate all product packaging in this retail shelf image. For each item, provide bounding box coordinates, product name, and shelf position (top, middle, bottom).”
For Developers
A few lines of code.
Multimodal reasoning. Three 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 Qwen2-VL (72B) Instruct on ModelsLab.