Qwen2.5-VL 7B Instruct
7Bby Qwen
Qwen2.5 VL 7B is a multimodal LLM from the Qwen Team with the following key enhancements: - SoTA understanding of images of various resolution & ratio: Qwen2.5-VL achieves state-of-the-art performance on visual understanding benchmarks, including MathVista, DocVQA, RealWorldQA, MTVQA, etc. - Understanding videos of 20min+: Qwen2.5-VL can understand videos over 20 minutes for high-quality video-based question answering, dialog, content creation, etc. - Agent that can operate your mobiles, robots, etc.: with the abilities of complex reasoning and decision making, Qwen2.5-VL can be integrated with devices like mobile phones, robots, etc., for automatic operation based on visual environment and text instructions. - Multilingual Support: to serve global users, besides English and Chinese, Qwen2.5-VL now supports the understanding of texts in different languages inside images, including most European languages, Japanese, Korean, Arabic, Vietnamese, etc. For more details, see this [blog post](https://qwenlm.github.io/blog/qwen2-vl/) and [GitHub repo](https://github.com/QwenLM/Qwen2-VL). Usage of this model is subject to [Tongyi Qianwen LICENSE AGREEMENT](https://huggingface.co/Qwen/Qwen1.5-110B-Chat/blob/main/LICENSE).
Specifications
Technical details and pricing.
Benchmarks
12 benchmark scores from Artificial Analysis.
Composite Indices
Intelligence, Coding, Math
Standard Benchmarks
Academic and industry benchmarks
Frequently Asked Questions
What is Qwen2.5-VL 7B Instruct good for?
Use Qwen2.5-VL 7B Instruct for everyday tasks like writing, summarizing, brainstorming, and getting clear explanations.
How much does Qwen2.5-VL 7B Instruct cost?
Pricing is based on usage. Current rates are $0.00/1M tokens for input and $0.00/1M tokens for output.
Can I try Qwen2.5-VL 7B Instruct for free?
Yes. You can start a chat instantly and test the model before deciding on a plan.
Does Qwen2.5-VL 7B Instruct support images or audio?
Qwen2.5-VL 7B Instruct can understand images.
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Benchmarks and pricing are sourced from Artificial Analysis where available. OpenRouter specs are used as a fallback.