Qwen2.5-VL

Qwen2.5-VL

Alibaba
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About

GPT-4 with vision (GPT-4V) enables users to instruct GPT-4 to analyze image inputs provided by the user, and is the latest capability we are making broadly available. Incorporating additional modalities (such as image inputs) into large language models (LLMs) is viewed by some as a key frontier in artificial intelligence research and development. Multimodal LLMs offer the possibility of expanding the impact of language-only systems with novel interfaces and capabilities, enabling them to solve new tasks and provide novel experiences for their users. In this system card, we analyze the safety properties of GPT-4V. Our work on safety for GPT-4V builds on the work done for GPT-4 and here we dive deeper into the evaluations, preparation, and mitigation work done specifically for image inputs.

About

Qwen2.5-VL is the latest vision-language model from the Qwen series, representing a significant advancement over its predecessor, Qwen2-VL. This model excels in visual understanding, capable of recognizing a wide array of objects, including text, charts, icons, graphics, and layouts within images. It functions as a visual agent, capable of reasoning and dynamically directing tools, enabling applications such as computer and phone usage. Qwen2.5-VL can comprehend videos exceeding one hour in length and can pinpoint relevant segments within them. Additionally, it accurately localizes objects in images by generating bounding boxes or points and provides stable JSON outputs for coordinates and attributes. The model also supports structured outputs for data like scanned invoices, forms, and tables, benefiting sectors such as finance and commerce. Available in base and instruct versions across 3B, 7B, and 72B sizes, Qwen2.5-VL is accessible through platforms like Hugging Face and ModelScope.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Users interested in a GPT LLM that can analyze image input

Audience

AI researchers, developers, and enterprises seeking a powerful vision-language model for advanced image analysis, document processing, and multimodal AI applications

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 4.0 / 5
support 4.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

OpenAI
Founded: 2015
United States
openai.com/research/gpt-4v-system-card

Company Information

Alibaba
Founded: 1999
China
qwenlm.github.io/blog/qwen2.5-vl/

Alternatives

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Molmo

Ai2

Alternatives

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Dexit

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Qwen2-VL

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Qwen2.5-VL

Qwen2.5-VL

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Qwen2-VL

Qwen2-VL

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Qwen3.5

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Qwen3.5

Qwen3.5

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Categories

Categories

Integrations

2Slash
AI-FLOW
AIForAll
AiAssistWorks
Alibaba Cloud
BLACKBOX AI
ChatGPT
GPT-4
GPT-4o
Hugging Face
LM-Kit.NET
Make Real
ModelScope
OpenAI
Parasail
Qwen Chat
SheetMagic
ShotSolve
kluster.ai

Integrations

2Slash
AI-FLOW
AIForAll
AiAssistWorks
Alibaba Cloud
BLACKBOX AI
ChatGPT
GPT-4
GPT-4o
Hugging Face
LM-Kit.NET
Make Real
ModelScope
OpenAI
Parasail
Qwen Chat
SheetMagic
ShotSolve
kluster.ai
Claim GPT-4V (Vision) and update features and information
Claim GPT-4V (Vision) and update features and information
Claim Qwen2.5-VL and update features and information
Claim Qwen2.5-VL and update features and information