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Description
Qwen2.5-VL marks the latest iteration in the Qwen vision-language model series, showcasing notable improvements compared to its predecessor, Qwen2-VL. This advanced model demonstrates exceptional capabilities in visual comprehension, adept at identifying a diverse range of objects such as text, charts, and various graphical elements within images. Functioning as an interactive visual agent, it can reason and effectively manipulate tools, making it suitable for applications involving both computer and mobile device interactions. Furthermore, Qwen2.5-VL is proficient in analyzing videos that are longer than one hour, enabling it to identify pertinent segments within those videos. The model also excels at accurately locating objects in images by creating bounding boxes or point annotations and supplies well-structured JSON outputs for coordinates and attributes. It provides structured data outputs for documents like scanned invoices, forms, and tables, which is particularly advantageous for industries such as finance and commerce. Offered in both base and instruct configurations across 3B, 7B, and 72B models, Qwen2.5-VL can be found on platforms like Hugging Face and ModelScope, further enhancing its accessibility for developers and researchers alike. This model not only elevates the capabilities of vision-language processing but also sets a new standard for future developments in the field.
Description
Qwen3.6-Max-Preview represents an advanced frontier language model aimed at enhancing intelligence, following instructions, and improving real-world agent functionalities within the Qwen ecosystem. This preview builds upon the Qwen3 series, showcasing enhanced world knowledge, refined alignment with instructions, and notable advancements in coding performance for agents, which allows the model to adeptly manage intricate, multi-step tasks and software engineering processes. It is meticulously designed for scenarios requiring advanced reasoning and execution, where the model goes beyond merely generating responses to actively interacting with tools, processing lengthy contexts, and facilitating structured problem-solving in various fields such as coding, research, and enterprise operations. The architecture continues to embody the Qwen commitment to developing large-scale, high-efficiency models that can effectively manage extensive context windows while providing reliable performance across multilingual and knowledge-intensive projects. Moreover, its capabilities promise to significantly enhance productivity and innovation in diverse applications.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Hugging Face
Yes
ModelScope
Yes
Qwen Studio
Yes
Alibaba Cloud
Yes
Alibaba Cloud Model Studio
No
BLACKBOX AI
Yes
Hermes Agent
No
LM-Kit.NET
Yes
Ollama
No
OpenClaw
No
Integrations
Hugging Face
Yes
ModelScope
Yes
Qwen Studio
Yes
Alibaba Cloud
No
Alibaba Cloud Model Studio
Yes
BLACKBOX AI
No
Hermes Agent
Yes
LM-Kit.NET
No
Ollama
Yes
OpenClaw
Yes
Pricing Details
Free
Open source
Free Trial
No
Free Version
Yes
Pricing Details
Free
Open source
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
Yes
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
qwenlm.github.io/blog/qwen2.5-vl/
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
qwen.ai/blog
Product Features
Computer Vision
Blob Detection & Analysis
No
Building Tools
No
Image Processing
No
Multiple Image Type Support
No
Reporting / Analytics Integration
No
Smart Camera Integration
No