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What is Qwen3.8-2.4T-A95B?

Qwen3.8-2.4T-A95B emerges as the largest open model in the Qwen3.8 series, presenting advanced Qwen-Max-class capabilities in a format that is accessible to the public. Built on the robust foundation of Qwen3.5, this model offers marked improvements in performance across various domains, including coding, professional applications, research, and complex, extended agentic tasks, underscoring its ability to reliably execute intricate, multi-step workflows to completion. With its innovative mixture-of-experts architecture, it features a remarkable total of 2.4 trillion parameters, of which 95 billion are activated, utilizing 512 experts and allowing for simultaneous engagement of 10 routed experts alongside one shared expert. The model supports a native context length of 262,144 tokens, extendable to about 1.01 million tokens, thereby enabling considerable adaptability for diverse applications. Additionally, enhancements in agent execution, such as superior autonomous planning and improved responsiveness to environmental cues, enhance its overall efficiency. Its extensive compatibility with popular agent frameworks and development tools further aids in smooth integration into current systems, making it an appealing option for both developers and researchers. This versatility is particularly beneficial for those seeking to leverage advanced AI capabilities in their projects.

What is Qwen2-VL?

Qwen2-VL stands as the latest and most sophisticated version of vision-language models in the Qwen lineup, enhancing the groundwork laid by Qwen-VL. This upgraded model demonstrates exceptional abilities, including: Delivering top-tier performance in understanding images of various resolutions and aspect ratios, with Qwen2-VL particularly shining in visual comprehension challenges such as MathVista, DocVQA, RealWorldQA, and MTVQA, among others. Handling videos longer than 20 minutes, which allows for high-quality video question answering, engaging conversations, and innovative content generation. Operating as an intelligent agent that can control devices such as smartphones and robots, Qwen2-VL employs its advanced reasoning abilities and decision-making capabilities to execute automated tasks triggered by visual elements and written instructions. Offering multilingual capabilities to serve a worldwide audience, Qwen2-VL is now adept at interpreting text in several languages present in images, broadening its usability and accessibility for users from diverse linguistic backgrounds. Furthermore, this extensive functionality positions Qwen2-VL as an adaptable resource for a wide array of applications across various sectors.

Media

Media

Integrations Supported

Alibaba Cloud
Hugging Face
ModelScope
Qwen Studio
Alibaba Cloud Model Studio
Cherry Studio
Cline
ClinePass
Hermes Agent
Model Context Protocol (MCP)
Novita AI
Odysseus
OfoxAI
Ollama
OpenClaw
Python
Qwen Code
QwenWork

Integrations Supported

Alibaba Cloud
Hugging Face
ModelScope
Qwen Studio
LM-Kit.NET
Open Computer Agent

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

Free
Open source
Free Version

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwen.ai

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwenlm.github.io

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Categories and Features

AI Models

Not specified

AI Vision Models

Not specified

Computer Vision

Not specified

Large Language Models

Not specified

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