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What is Qwen2.5-VL?

The Qwen2.5-VL represents a significant advancement in the Qwen vision-language model series, offering substantial enhancements over the earlier version, Qwen2-VL. This sophisticated model showcases remarkable skills in visual interpretation, capable of recognizing a wide variety of elements in images, including text, charts, and numerous graphical components. Acting as an interactive visual assistant, it possesses the ability to reason and adeptly utilize tools, making it ideal for applications that require interaction on both computers and mobile devices. Additionally, Qwen2.5-VL excels in analyzing lengthy videos, being able to pinpoint relevant segments within those that exceed one hour in duration. It also specializes in precisely identifying objects in images, providing bounding boxes or point annotations, and generates well-organized JSON outputs detailing coordinates and attributes. The model is designed to output structured data for various document types, such as scanned invoices, forms, and tables, which proves especially beneficial for sectors like finance and commerce. Available in both base and instruct configurations across 3B, 7B, and 72B models, Qwen2.5-VL is accessible on platforms like Hugging Face and ModelScope, broadening its availability for developers and researchers. Furthermore, this model not only enhances the realm of vision-language processing but also establishes a new benchmark for future innovations in this area, paving the way for even more sophisticated applications.

What is QwenCloud?

QwenCloud is an AI-native cloud platform designed to help developers, teams, and enterprises build with models, tools, apps, APIs, and cloud infrastructure in one place. The platform provides access to featured models across large language models, image generation, video generation, audio, speech, and multimodal AI. Its flagship model offering includes Qwen3.8-Max, a native vision-language model with 2.4 trillion parameters, a Mixture-of-Experts architecture, a 1 million-token context window, and a 131.1K maximum output length. QwenCloud also includes models such as HappyHorse-T2V for realistic text-to-video generation, Wan-T2V for cinematic video generation, Qwen-Image-3.0-Pro for complex and detailed image generation, and CosyVoice for natural text-to-speech. Developers can use Try AI to experiment with leading models and access API keys to build production agents and applications. The platform provides documentation, tutorials, production patterns, and prompts for adding QwenCloud Skills to agents. Qoder extends the ecosystem with agentic coding across desktop, JetBrains, CLI, and mobile workflows. QwenCloud supports free API credits, token plans, and pricing options for individuals and teams that want access to advanced models. For enterprise deployments, QwenCloud emphasizes isolated VPCs, dedicated infrastructure, stable latency, global compliance certifications, model evaluation, rapid experimentation, and deployment monitoring. The platform also connects to cloud infrastructure products such as Elastic Compute Service, Object Storage Service, ApsaraDB RDS, and Function Compute. By combining AI model access, multimodal APIs, agent tooling, coding workflows, cloud infrastructure, documentation, free credits, enterprise security, and deployment controls, QwenCloud helps organizations ship AI-native applications at scale.

Media

Media

Integrations Supported

Qwen Studio
Alibaba Cloud
BLACKBOX AI
Hugging Face
LM-Kit.NET
ModelScope
kluster.ai

Integrations Supported

Qwen Studio
HappyHorse 1.1
OpenAI
Qwen 4
Qwen Code
Qwen-7B
Qwen-Image
Qwen-Image-3.0
Qwen3.8-2.4T-A95B
Qwen3.8-27B
Qwen3.8-Flash-Next
Qwen3.8-Max
Qwen3.8-Omni-Flash
Wan2.7-T2V

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Open source
Free Version

Pricing Information

Pricing not provided
Free Trial Offered?

Supported Platforms

SaaS
Android
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwenlm.github.io/blog/qwen2.5-vl/

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

www.qwencloud.com

Categories and Features

Agentic AI

Not specified

AI Agents

Not specified

AI Models

Not specified

AI Vision Models

Not specified

Computer Vision

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Categories and Features

AI Cloud Providers

Not specified

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