Qwen2.5-VL (72B) Instruct
Vision. Language. Understanding.
Multimodal Intelligence at Scale
Visual Reasoning
Image, Video, Document Understanding
Process images, videos up to 1 hour, and documents with precise visual localization and event detection.
Extended Context
32K to 128K Token Window
Handle long-form content and complex queries with native 32K tokens, extendable to 128K using YaRN.
Production Ready
Fine-Tuning and Customization
Optimize for your domain using LoRA-based fine-tuning on dedicated GPUs for personalized performance.
Examples
See what Qwen2.5-VL (72B) Instruct can create
Copy any prompt below and try it yourself in the playground.
Document Analysis
“Analyze this invoice image and extract all line items, totals, and payment terms in structured JSON format.”
Video Summarization
“Watch this 30-minute tutorial video and provide a detailed summary with timestamps of key concepts and action items.”
Chart Interpretation
“Examine this quarterly sales chart and identify trends, anomalies, and provide forecasting insights for the next quarter.”
Multi-Image Reasoning
“Compare these three product photos and generate a detailed comparison report highlighting design differences and material quality.”
For Developers
A few lines of code.
Multimodal intelligence. 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 Qwen2.5-VL (72B) Instruct on ModelsLab.