Qwen 4

Qwen 4

Alibaba
+
+

Related Products

  • Adobe Firefly
    25,030 Ratings
    Visit Website
  • Yodeck
    7,837 Ratings
    Visit Website
  • Lenso.ai
    2 Ratings
    Visit Website
  • Google AI Studio
    40 Ratings
    Visit Website
  • TinyPNG
    69 Ratings
    Visit Website
  • SmartDraw
    565 Ratings
    Visit Website
  • TeleRay
    6 Ratings
    Visit Website
  • BoldTrail
    2,107 Ratings
    Visit Website
  • MobiPDF
    7,811 Ratings
    Visit Website
  • TelemetryOS
    280 Ratings
    Visit Website

About

Qwen-Image 3.0 is the third-generation foundational image generation model in the Qwen-Image series, built to move AI imagery from visually appealing output toward practical, information-rich creation. Its capabilities center on three goals, rich content, authentic details, and deep knowledge. The model accepts prompts of up to 4.5K tokens, giving users room to describe complex layouts, exact copy, hierarchy, relationships, styles, and multiple sections in one request. It can generate dense content such as multi-panel infographics, newspaper pages, storyboards, examination sheets, presentation grids, academic pages, nested interfaces, posters, and other structured visuals in one pass rather than assembling separate images. Qwen-Image 3.0 strengthens text rendering with legible characters as small as 10 pixels, support for 12 languages, and the ability to reproduce complex LaTeX formulas, labels, paragraphs, handwritten annotations, and mixed-language layouts.

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

Individuals and teams that need to generate information-dense, multilingual visuals with readable text and realistic detail

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
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 4.0 / 5
features 4.0 / 5

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

Pros & Cons from Real Users

Pros

  • Qwen-Image-3.0 looks really useful from a developer’s point of view because it is clearly built for practical image workflows, not just pretty AI art. The support for long prompts, detailed visual instructions, and complex layouts makes it feel much more usable for real apps. I like that it supports both text-to-image and image editing. That matters a lot if you are building creative tools, marketing automation, product image workflows, design assistants, or anything where users need to iterate instead of starting over every time.

Cons

  • The main downside is that it is still early and access appears limited. Alibaba Cloud’s docs currently describe the model as being in limited preview, so I would want to test availability, pricing, latency, and API reliability before building around it.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Alibaba
Founded: 1999
China
qwen.ai/blog

Company Information

Alibaba
Founded: 1999
China
qwen.ai

Alternatives

Alternatives

Qwen3.8-27B

Qwen3.8-27B

Alibaba
Qwen2

Qwen2

Alibaba
FLUX.2

FLUX.2

Black Forest Labs
Qwen3.6

Qwen3.6

Alibaba
Qwen3.8-Max

Qwen3.8-Max

Alibaba

Categories

Categories

Integrations

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

Integrations

Happy Shrimp 1.0
Qwen
Qwen Studio
QwenCloud
Alibaba Cloud
Alibaba Cloud Model Studio
Cherry Studio
Cline
ClinePass
Hugging Face
Model Context Protocol (MCP)
ModelScope
Novita AI
Odysseus
OfoxAI
Ollama
OpenClaw
Python
Qwen Code
QwenWork
Claim Qwen-Image-3.0 and update features and information
Claim Qwen-Image-3.0 and update features and information
Claim Qwen 4 and update features and information
Claim Qwen 4 and update features and information