12 Languages Natively
Type rendered as language rather than as character-shaped decoration.
Alibaba's Qwen Image 3.0 Pro renders type as language across a dozen scripts, holding legibility down to ten pixels in dense layouts.
Abre esta página en un navegador de escritorio para empezar a crear.
Qwen Image 3.0 Pro is Alibaba's image model, and the capability it is built around is text — specifically, text that is not in English.
Ask most models for a sign in Chinese, a Japanese product label, or Korean packaging copy and what comes back is character-shaped decoration: convincing at a glance, meaningless to anyone who reads the script. Qwen Image 3.0 renders natively across twelve languages and more than twenty fonts, with type staying legible down to ten pixels, which is what makes information-dense layouts viable instead of merely decorative.
Use Qwen Image 3.0 Pro when the copy matters. Build bilingual packaging, regional signage, localised campaign visuals, newspaper-style layouts, interface mockups, and infographics whose labels have to survive being read.
Qwen Image 3.0 Pro is an AI image generation model developed by Alibaba and released in July 2026. It generates from written descriptions across photographic and illustrative styles, and is distinguished within its class by how it treats type.
The model is built around three major strengths:
Alibaba also cites realistic simulation of interfaces such as web pages, games, and live-stream overlays, along with fine detail down to individual strands of hair. The 4,500-token window is around four and a half times its predecessor's, which is what allows a multi-part layout specification to be honoured in a single pass.
Type rendered as language rather than as character-shaped decoration.
Enough typographic range for layouts that need more than one voice.
Dense layouts stay readable instead of turning into texture.
Around 4.5x its predecessor, sized for multi-part layout instructions.
Web pages, games, and live-stream overlays reproduced convincingly.
1K and 2K, selected per generation.
Chinese, Japanese, and Korean characters come back as language. Most models treat CJK as an afterthought and produce shapes that look right only to people who cannot read them.
Compositions carrying two scripts at once are where most models fail hardest, because the two type systems have different rhythm, weight, and spacing. This one handles both in the same frame.
The small-text threshold is what separates a decorative layout from a usable one. At ten pixels, newspaper pages, dense infographics, and interface mockups become achievable rather than approximate.
Around 4,500 tokens is enough to specify every text block, its position, and its relative size without trimming the instruction down to fit.
Web pages, application UI, game screens, and stream overlays are explicitly within scope, which is unusual and directly useful for product marketing imagery.
Beyond type, the model resolves fine texture — down to individual strands of hair — so a layout with a photographic element does not have to compromise on it.
Localised work multiplies. One key visual becomes six market versions, each with different copy, each needing a reader who can check it. Virse keeps the family together. The base layout and every language variant sit side by side on one canvas, which is the only practical way to spot that version four has the wrong line break.
See every localised version at once rather than opening six files to compare them.
Park the approved text next to the output so proofreading happens against the source rather than from memory.
Move between Qwen Image 3.0 Pro and 30+ other image and video models without leaving the canvas or rewriting the brief.
Reuse the same compositional brief and change only the copy, so the set stays visually consistent across languages.
Front-of-pack layouts carrying both a Latin and a CJK product name.
Street scenes and shopfronts whose signage reads correctly to a local.
One key visual rebuilt for each market's copy without redesigning it.
Application screens, web pages, and overlays with legible on-screen type.
Newspaper-style pages and information graphics with small readable labels.
Images that combine fine photographic detail with an on-image headline.
Type the script you want rendered. Transliterations and descriptions will not produce it.
Name each string, where it sits, and how large it is relative to the others.
Draft at the smaller size, then re-run at 2K once the copy is confirmed.
Legible and correct are different things. Get a native speaker to read the output.
A useful Qwen Image 3.0 Pro prompt usually includes four elements:
En lugar de escribir
A Japanese ramen shop storefront at night with a sign, atmospheric.
Escribe
A narrow ramen shop storefront at night. A horizontal noren curtain across the doorway reads 一番ラーメン in white on deep indigo. To the left, a vertical wooden sign reads 営業中 in black brushed characters. Warm light spilling from inside, wet pavement reflecting it. Photographic, shot straight on from across the street.
A tea tin photographed flat against a pale background. The front carries 明前龍井 in large brushed characters, centred in the upper half, with "Pre-Qingming Longjing" beneath it in a small Latin serif at roughly a third the size. Muted jade green tin, one thin gold rule between the two lines of text, no other graphics. Even soft lighting, square crop.
A mobile app screen shown straight on, filling the frame. Header reads 我的订单 in medium weight. Below it, three list rows, each with a product name on the left and a price on the right in a tabular figure style. Bottom navigation bar with four labels: 首页, 分类, 购物车, 我的. Flat interface, single blue accent, white background, all type crisp and legible.
A minimal event poster in portrait format. Headline reads 静水 in a heavy modern sans, centred in the top third. Beneath it, much smaller: "Slow Water · Photographs by Ana Reyes". Flat sand-coloured background, one thin horizontal rule below the headline, no imagery. Wide margins on all four sides.
| Dimensión | Qwen Image 3.0 Pro | Ideogram 4.0 |
|---|---|---|
| Type strength | Non-Latin scripts and bilingual layouts | Latin typography and layout structure |
| Placement control | Described in the brief | Bounding boxes and JSON briefs |
| Small text | Legible to 10 pixels | Legible at native 2K |
| Brief window | ~4,500 tokens | Structured prompt fields |
| Also strong at | Photographic detail, interface mockups | Logos, posters, brand colour control |
| Choose it when | The copy is not in Latin script | The deliverable is a Latin-script layout |
"A sign reading 営業中" works. "A sign saying open in Japanese" does not.
Signage, product names, and headlines are the reliable range. Paragraphs are beyond what any current image model sustains.
"At a third the size of the headline" is actionable in a way that "smaller" is not, and it matters more in bilingual layouts where two scripts compete.
Legibility and correctness are different failures. A reader spots the ones that look fine to you.
Paste the script you need, keep the strings short, and have someone who reads it check the result before it ships.