Qwen 2.5 VL 72B
Qwen 2.5 VL 72B is the flagship vision-language model in Alibaba's Qwen 2.5 family, combining a large 72B language backbone with a capable vision encoder. It can process and reason about images alongside text, enabling rich visual question answering, document understanding, chart reading, and multimodal dialogue.
Alibaba designed this model to handle real-world document layouts, screenshots, and natural photos with a high degree of accuracy. It supports OCR-level text recognition within images, spatial reasoning about objects, and instruction-following over visual inputs, making it one of the most capable open-weight multimodal models in its generation.
Key Features
72B multimodal model with strong visual understanding
Image-grounded question answering and captioning
OCR and in-image text recognition
Chart, table, and document layout analysis
Spatial reasoning and object relationship understanding
Long-context multimodal instruction following
Ideal Use Cases
Automated analysis of invoices, receipts, and forms
Visual question answering for enterprise document workflows
Chart and dashboard data extraction
Multimodal research and content analysis
Accessibility tooling (image description for screen readers)
Example Prompts for Qwen 2.5 VL 72B
Technical Specifications
| Provider | Alibaba |
| Category | Text |
| Modality | Text + Image -> Text |
| Context Window | 128K tokens |
Frequently Asked Questions
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