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Description
Qwen2-VL represents the most advanced iteration of vision-language models within the Qwen family, building upon the foundation established by Qwen-VL. This enhanced model showcases remarkable capabilities, including:
Achieving cutting-edge performance in interpreting images of diverse resolutions and aspect ratios, with Qwen2-VL excelling in visual comprehension tasks such as MathVista, DocVQA, RealWorldQA, and MTVQA, among others.
Processing videos exceeding 20 minutes in length, enabling high-quality video question answering, engaging dialogues, and content creation.
Functioning as an intelligent agent capable of managing devices like smartphones and robots, Qwen2-VL utilizes its sophisticated reasoning and decision-making skills to perform automated tasks based on visual cues and textual commands.
Providing multilingual support to accommodate a global audience, Qwen2-VL can now interpret text in multiple languages found within images, extending its usability and accessibility to users from various linguistic backgrounds. This wide-ranging capability positions Qwen2-VL as a versatile tool for numerous applications across different fields.
Description
Qwen3.8-2.4T-A95B stands out as the most extensive open model within the Qwen3.8 series, offering advanced Qwen-Max-class features in a publicly accessible format. Constructed upon the solid framework of Qwen3.5, this model significantly enhances performance in areas such as coding, professional tasks, research, and complex, prolonged agentic activities, emphasizing the reliability of executing intricate, multi-step workflows to completion. Utilizing a cutting-edge mixture-of-experts architecture, it boasts an impressive total of 2.4 trillion parameters, with 95 billion of those being activated, featuring 512 experts and engaging 10 routed along with one shared expert simultaneously. The model accommodates a native context length of 262,144 tokens, which can be extended to around 1.01 million tokens, thereby providing substantial flexibility for various applications. Furthermore, improvements in agent execution, such as enhanced autonomous planning and better responsiveness to environmental feedback, contribute to its efficiency, while its broader compatibility with widely used agent frameworks and development tools facilitates seamless integration into existing systems, making it a versatile choice for developers and researchers alike.
API Access
Has API
API Access
Has API
Integrations
Alibaba Cloud
Hugging Face
ModelScope
Qwen Studio
Alibaba Cloud Model Studio
Cherry Studio
Cline
ClinePass
Hermes Agent
LM-Kit.NET
Integrations
Alibaba Cloud
Hugging Face
ModelScope
Qwen Studio
Alibaba Cloud Model Studio
Cherry Studio
Cline
ClinePass
Hermes Agent
LM-Kit.NET
Pricing Details
Free
Open source
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
qwenlm.github.io
Vendor Details
Company Name
Alibaba
Founded
1999
Country
China
Website
qwen.ai
Product Features
Computer Vision
Blob Detection & Analysis
Building Tools
Image Processing
Multiple Image Type Support
Reporting / Analytics Integration
Smart Camera Integration