Qwen2-VL

Qwen2-VL

Alibaba
Qwen 4

Qwen 4

Alibaba
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About

Qwen2-VL is the latest version of the vision language models based on Qwen2 in the Qwen model familities. Compared with Qwen-VL, Qwen2-VL has the capabilities of: SoTA understanding of images of various resolution & ratio: Qwen2-VL achieves state-of-the-art performance on visual understanding benchmarks, including MathVista, DocVQA, RealWorldQA, MTVQA, etc. Understanding videos of 20 min+: Qwen2-VL can understand videos over 20 minutes for high-quality video-based question answering, dialog, content creation, etc. Agent that can operate your mobiles, robots, etc.: with the abilities of complex reasoning and decision making, Qwen2-VL can be integrated with devices like mobile phones, robots, etc., for automatic operation based on visual environment and text instructions. Multilingual Support: to serve global users, besides English and Chinese, Qwen2-VL now supports the understanding of texts in different languages inside images

About

Qwen 4 is Alibaba’s next-generation Qwen foundation model, announced on September 22, 2026, and currently in training. It will follow the Qwen3.8 generation as part of Alibaba’s broader roadmap for increasingly capable foundation and agentic AI models. Alibaba has not yet published Qwen 4’s parameter count, architecture, benchmark results, context window, pricing, release date, or availability details. The announcement places Qwen 4 within a research strategy focused on large-scale model training, agentic reinforcement learning, multimodal intelligence, and recursive self-improvement. Alibaba separately said that later Qwen 4.5 and Qwen 5 models are expected to scale into the 5-to-10-trillion-parameter range, but that figure was not attributed specifically to Qwen 4. Because Qwen 4 has not yet been released, detailed performance comparisons and production capabilities remain unconfirmed.

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

AI developers interested in a powerful vision large language model

Audience

AI developers, researchers, enterprises, agent builders, and organizations following Alibaba’s next generation of foundation models, although its final production use cases cannot yet be determined because the model remains in training

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

No images available

Pricing

Free
Open source
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

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:

Review this Software

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:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Alibaba
Founded: 1999
China
qwenlm.github.io

Company Information

Alibaba
Founded: 1999
China
qwen.ai

Alternatives

SmolVLM

SmolVLM

Hugging Face

Alternatives

Qwen3.8-27B

Qwen3.8-27B

Alibaba
Qwen2.5-VL

Qwen2.5-VL

Alibaba
Qwen2

Qwen2

Alibaba
Qwen3.5

Qwen3.5

Alibaba
Qwen3.6

Qwen3.6

Alibaba
Qwen

Qwen

Alibaba
Qwen2

Qwen2

Alibaba
Qwen3.8-Max

Qwen3.8-Max

Alibaba

Categories

Categories

Integrations

Alibaba Cloud
Hugging Face
ModelScope
Qwen Studio
Cherry Studio
Cline
ClinePass
Happy Shrimp 1.0
Hermes Agent
Model Context Protocol (MCP)
Novita AI
Odysseus
OfoxAI
Ollama
Open Computer Agent
OpenClaw
Python
Qwen
QwenCloud
QwenWork

Integrations

Alibaba Cloud
Hugging Face
ModelScope
Qwen Studio
Cherry Studio
Cline
ClinePass
Happy Shrimp 1.0
Hermes Agent
Model Context Protocol (MCP)
Novita AI
Odysseus
OfoxAI
Ollama
Open Computer Agent
OpenClaw
Python
Qwen
QwenCloud
QwenWork
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