Qwen 2.5-VL
- Price
- Free
- API
- Yes
- Weights
- Yes
WHAT IT DOES
Qwen 2.5-VL is Alibaba's state-of-the-art open-weight multimodal model, designed to bridge the gap between open source and proprietary vision-language models. It features advanced 'NaViVi' (Native Dynamic Resolution) architecture, allowing it to process images of any resolution and videos of any length with extreme precision. It excels at complex visual reasoning, document understanding (OCR), and real-time video analysis, matching or exceeding GPT-4o in many multimodal benchmarks while remaining fully open for the community to build upon.
WHY WE PICKED IT
We added Qwen 2.5-VL to the Open Frontier movement because it is currently the highest-performing open-weight vision model. It proves that open source can lead in multimodal reasoning, especially for tasks requiring high-resolution OCR and long-form video understanding.
QUICK FACTS
STRENGTHS
- ✓Native Dynamic Resolution: Processes images without resizing or quality loss
- ✓SOTA Video Understanding: Analyzes videos over 1 hour in length
- ✓Exceptional OCR: Best-in-class performance for dense charts and tables
- ✓Open-Weight Transparency: Fully customizable and self-hostable
- ✓Agentic Readiness: Built to power visual agents and tool-use workflows
LIMITATIONS
- ⚠72B model requires significant VRAM (144GB+) for full-precision local inference
- ⚠Video analysis speed depends on the length and resolution of the input
- ⚠May require prompt tuning for highly specialized domain-specific reasoning
GETTING STARTED
Try Qwen 2.5-VL for free on the Qwen official demo site or Hugging Face Spaces. For developers, download the weights from Hugging Face and run them locally using vLLM or Ollama. API access is available through providers like DashScope and OpenRouter.
QUICK TIPS
OFFICIAL LINKS
RESOURCES & SETUP
SIMILAR TOOLS
USE CASE EXAMPLES
Complex Document Digitization
Extracting structured data from multi-page PDFs with complex tables and charts.
- Upload the document images or PDF pages
- Ask: 'Extract all table data into a JSON format'
- Review the high-precision OCR output
Visual UI Automation
Using the model to 'see' a website or app UI and describe the steps to complete a task.
- Provide a screenshot of the UI
- Ask: 'Where should I click to change the notification settings?'
- Get the exact coordinates and visual description of the element
PRICING
FEATURED IN GUIDES
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EXPLORE ALTERNATIVES
Compare Qwen 2.5-VL with 5+ similar multimodal reasoning AI tools.
FREQUENTLY ASKED QUESTIONS
Is Qwen 2.5-VL free?
Yes, Qwen 2.5-VL is completely free to use.
Does Qwen 2.5-VL have an API?
Yes, Qwen 2.5-VL offers an API for programmatic integration.
What is Qwen 2.5-VL best for?
Qwen 2.5-VL is best for Open Vision Reasoning. Qwen 2. We added Qwen 2.5-VL to the Open Frontier movement because it is currently the highest-performing open-weight vision model. It proves that open source can lead in multimodal reasoning, especially for tasks requiring high-resolution OCR and long-form video understanding.
What platforms does Qwen 2.5-VL support?
Qwen 2.5-VL supports web, api, local.
Is Qwen 2.5-VL open source?
Yes, Qwen 2.5-VL is open source. You can access the source code on GitHub at https://github.com/QwenLM/Qwen2.5-VL.
How do I get started with Qwen 2.5-VL?
Try Qwen 2.5-VL for free on the Qwen official demo site or Hugging Face Spaces. For developers, download the weights from Hugging Face and run them locally using vLLM or Ollama. API access is available through providers like DashScope and OpenRouter.
How do I use Qwen 2.5-VL?
Qwen 2.5-VL is a large language model for text generation, analysis, and conversation. Access through the web interface. Enter prompts or questions to get responses. It excels at native dynamic resolution: processes images without resizing or quality loss.
FEATURED ON CURATEDAI
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