Qwen 4

Qwen 4

Alibaba
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About

QwQ-Max-Preview is an advanced AI model built on the Qwen2.5-Max architecture, designed to excel in deep reasoning, mathematical problem-solving, coding, and agent-related tasks. This preview version offers a sneak peek at its capabilities, which include improved performance in a wide range of general-domain tasks and the ability to handle complex workflows. QwQ-Max-Preview is slated for an official open-source release under the Apache 2.0 license, offering further advancements and refinements in its full version. It also paves the way for a more accessible AI ecosystem, with the upcoming launch of the Qwen Chat app and smaller variants of the model like QwQ-32B, aimed at developers seeking local deployment options.

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 researchers, developers, and businesses looking for a powerful, scalable AI model for deep reasoning, coding, and general-domain problem-solving, with an eye on open-source contributions and local deployment options

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:

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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/blog/qwq-max-preview/

Company Information

Alibaba
Founded: 1999
China
qwen.ai

Alternatives

DeepSeek R2

DeepSeek R2

DeepSeek

Alternatives

Qwen3.8-27B

Qwen3.8-27B

Alibaba
ERNIE 4.5

ERNIE 4.5

Baidu
Qwen2

Qwen2

Alibaba
ERNIE X1

ERNIE X1

Baidu
Qwen3.6

Qwen3.6

Alibaba
Qwen3.6

Qwen3.6

Alibaba
Qwen3.8-Max

Qwen3.8-Max

Alibaba

Categories

Categories

Integrations

Qwen Studio
Alibaba Cloud
Alibaba Cloud Model Studio
Cline
ClinePass
Happy Shrimp 1.0
Hermes Agent
Hugging Face
ModelScope
Novita AI
Odysseus
OfoxAI
Ollama
OpenClaw
Python
Qwen
Qwen Code
QwenCloud
QwenWork
Sesterce

Integrations

Qwen Studio
Alibaba Cloud
Alibaba Cloud Model Studio
Cline
ClinePass
Happy Shrimp 1.0
Hermes Agent
Hugging Face
ModelScope
Novita AI
Odysseus
OfoxAI
Ollama
OpenClaw
Python
Qwen
Qwen Code
QwenCloud
QwenWork
Sesterce
Claim QwQ-Max-Preview and update features and information
Claim QwQ-Max-Preview and update features and information
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