Describe complex layouts with longer prompts
Qwen Image 3.0 accepts up to 4.5K tokens of input, giving you room to define panels, formulas, diagrams, captions, illustrations, and their relationships in one prompt.
Create more than a beautiful picture. Qwen Image 3.0 follows long, structured prompts to compose readable text, intricate layouts, multilingual typography, and fine visual detailāturning one brief into a polished infographic, storyboard, interface, or edited image.

Built for information-rich visuals
Qwen Image 3.0 is the third-generation foundational image generation model in the Qwen-Image series, designed to turn detailed instructions into useful, information-rich images.
It brings readable content, structured layouts, and fine visual detail together for storyboards, teaching materials, academic figures, interfaces, and more.

Explore text-rich layouts, detailed scenes, multilingual graphics, and varied visual styles created with Qwen Image 3.0.













The main Qwen Image 3.0 features address three common problems: prompts that outgrow a short description, small text that breaks, and visuals that require broader knowledge.
Qwen Image 3.0 accepts up to 4.5K tokens of input, giving you room to define panels, formulas, diagrams, captions, illustrations, and their relationships in one prompt.
Render text as small as 10px alongside LaTeX notation, handwritten annotations, skin, hair, paper, and brushwork details.
Create text-rich posters, interfaces, and diagrams across 12 languages and more than 100 artistic styles.
Generate new visuals or edit existing images with annotations, restoration, structured infographics, and interface-style compositions.
To use Qwen Image 3.0 well, plan the information first, describe the layout clearly, generate the image, and inspect every important detail before publishing.
Choose the final format: poster, storyboard, teaching slide, interface, product graphic, or edited image.
List the title, sections, panels, labels, objects, and positions. Use the longer prompt capacity to explain how each region relates to the whole.
Supply the exact words, formulas, languages, colors, and style. Place each text block in the panel where it belongs.
Check text, numbers, formulas, labels, and factual statements at full size before publishing.
Use Qwen Image 3.0 when text, layout, and visual detail need to work together.
Create layered UI mockups for web pages, games, livestream rooms, and nested interface concepts.
Build infographics, exam materials, lesson slides, and diagrams for information-dense subjects.
Draft newspapers, storyboards, knowledge posters, and multilingual layouts with readable captions, labels, and columns.
Explore product visuals that combine imagery with labels, comparisons, or interface-style layouts.
Add annotations or reconstruct missing areas while preserving the source image's look. Review every edit at full size.
Compare the documented focus of Qwen Image 3.0 and Qwen Image 2.0 without relying on unsupported rankings.
| Comparison area | Qwen Image 3.0 | Qwen Image 2.0 |
|---|---|---|
| Release focus | Rich content, authentic details, and deep knowledge | Precision, variety, completeness, beauty, and authenticity |
| Prompt capacity | Up to 4.5K tokens | No 2.0 limit is listed here |
| Highlighted examples | Newspapers, storyboards, exam papers, complex UI, academic figures | Refer to the separate 2.0 release materials for its examples |
| Benchmark comparison | No benchmark table is available | Do not infer a score from positioning language |
This is a difference in focus, not proof that one version wins every task. Test both with the same prompt and compare text accuracy, layout, detail, and editing consistency.
Choose Qwen Image 3.0 for work that depends on words, layout, detail, and subject knowledge.
Use the 4.5K-token input limit to define panels, hierarchy, labels, and nested elements.
Create visible text for formulas, newspapers, captions, annotations, and multilingual layouts.
Evaluate familiar deliverables such as storyboards, teaching graphics, interfaces, and research-style figures.
Quick answers about Qwen Image 3.0 capabilities, access, languages, editing, and benchmarks.
Pricing is not listed here. Check the current Qwen product or Qwen Cloud interface for availability and rates.
Downloadable Qwen Image 3.0 weights and licensing are not confirmed here.
A public Qwen Image 3.0 API model ID, rate, and stable endpoint are not listed here.
Qwen Image 3.0 supports up to 4.5K input tokens, giving complex layouts more room for detailed instructions.
Qwen Image 3.0 supports native rendering across 12 languages, including Japanese, Korean, and Spanish examples.
Yes. Examples include handwritten annotation, source-photo editing, and restoration of damaged paintings.
No benchmark table or numeric comparison against other models is included here. Use reproducible independent testing before making ranking claims.
Turn one real project brief into a detailed Qwen Image 3.0 prompt, then check the result against your layout, text, and visual goals.