Published: August 6, 2026
Image Model
Qwen-Image-3.0 is Alibaba's third-generation text-to-image and image-to-image model. Built for dense, information-heavy output like newspapers, infographics, and UI mockups. Handles very long, detailed prompts in a single pass without losing layout structure. Renders small text, math notation, and multiple languages with strong accuracy.
Key Features
Rich Content
- Ultra-long prompts: Accepts detailed instructions, enough to specify dense, multi-part scenes in one shot.
- Complex layouts in one pass: Generates newspapers, storyboards, exam papers, and multi-panel infographic grids without stitching separate images together.
Authentic Details
- Small-text legibility: Renders text legibly down to 10px.
- Photographic realism: Reproduces fine detail like pores and individual hair strands with near-photographic skin texture.
Deep Knowledge
- Native multilingual rendering: Supports native text rendering in 12 languages and 100+ art styles in a single model.
- Realistic interface simulation: Convincingly recreates real-world UI patterns: web pages, game interfaces, livestream layouts.
- World knowledge + live retrieval: Draws on built-in world knowledge and can pull current information from the web.
Technical Capabilities
Details | |
|---|---|
| Inputs | Text-to-Image · Image Editing (image + text instruction) |
| Resolution | Native output up to 2048×2048 (2K) |
| Aspect Ratios | Square HD · square · portrait_4_3 · portrait_16_9 · landscape_4_3 · landscape_16_9 |
| Format | png · jpeg · webp |
Limitations
- No independently verified benchmark scores; claims rest on Alibaba's own published example gallery.
- No downloadable model weights, model card, or technical report at launch, unlike the two prior generations.
- Long-prompt and small-text claims have not yet been evaluated by outside parties.
- Hosted-only access; no self-hosting or fine-tuning option confirmed.
Prompting Tips
- Take advantage of the model's long prompt window to fully specify complex, multi-panel layouts in one instruction.
- For information-dense output like infographics or exam papers, describe each panel or section explicitly.
- Specify the target language(s) directly in the prompt to make use of native rendering across the 12 supported languages.
- For current-events or date-specific imagery, reference the specific place and date in the prompt to draw on the model's live web retrieval.