Qwen Image 3 is Alibaba's image model for pictures that contain writing. Type a prompt with the exact words you want on the page, pick a ratio, and it comes back with those words spelled correctly — posters, infographics, storyboards, signage and UI mockups.
AI-generated reference frames, picked for the one thing this model is built around: structured layout with body copy, labels and captions that stay readable.



This is the third generation of Alibaba's Qwen image line, and the thing it is built around is writing. Most image models treat text as decoration: ask for a shop sign and you get shapes that look like letters from a distance and fall apart up close. This model treats the words as content. Give it a headline, a set of numbered steps, a caption under every panel, and it lays the page out and spells the words.
That difference changes what you can ask for. A poster stops being a background you have to add type to in another tool, and becomes one generation. An infographic with four steps and a paragraph under each one becomes a prompt. The same capability covers newspapers, exam papers, menus, product packaging, game UI and interface mockups — anything where the information in the picture is the point of the picture.
It also renders more than one writing system, so the words do not have to be English. The tier that runs here is Pro, the top rung of the family, at 1K or 2K with a choice of seven aspect ratios.
Creative engine
Two resolutions, seven ratios — neither of them changes the price.

Headlines, paragraphs and captions come back spelled, not suggested.

Grids, numbered sequences, panels and headers hold their structure.

Start from a prompt, or hand it a picture and describe the change.
Pick it the moment your prompt contains a word in quotation marks. If you are describing a scene — a fox in autumn woodland, a portrait in mixed light — a photoreal model like [Seedream 5.0 Pro](/image/seedream-5-pro) will serve you better, and [Nano Banana Pro](/image/nano-banana-pro) is the one to reach for when a design has to look art-directed. But the second the picture has to say something, the ranking inverts. A model that renders a beautiful café and puts MOFFEE CAFE over the door has not made you a usable image, and no amount of re-rolling fixes it reliably. This is the model that gets the sign right, and then gets the opening hours under it right too. It is also the model to use when the layout carries meaning: step one above step two, a header separated by a rule, a caption tied to the panel it belongs to. Those are structural decisions, and it makes them.
Posters, covers, flyers, packaging — where the type is the design.
Infographics, menus, exam papers, documents held in frame.
In-scene lettering that has to survive being looked at closely.
What the model accepts here, and what each control does.

A prompt in, a finished page out, with the wording carried through.
Hand it a picture and describe the change you want made to it.
1:1, 16:9, 9:16, 4:3, 3:4, 3:2 and 2:3 — portrait, landscape and square.
2K is the one to use when the smallest text on the page still has to read.
Measured against the live API this model runs on here, on 2026-08-05.
Four habits that decide whether the words come out right.

Write the exact string you want rendered — reading 'MARCH 14-22', not a description of it.

Headline at the top, a second line beneath, credits along the bottom edge.

Condensed grotesk capitals, handwritten script, a thin rule under the header.

Body copy and captions hold together at 2K in a way they cannot at 1K.
The pictures that have something to say.

A headline, a date line and a credit block, finished in one generation.

Numbered steps with real body copy under each one, laid out on a grid.

Panelled sheets where every frame carries its own caption.

Shopfronts, menus, packaging and interface screens with legible labels.
Every model on this page draws from the same balance, and the credit cost appears before you press generate. Failed jobs are never charged.
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Image models
Model credit guide
You're only charged for successful generations, and the price of a model does not change with resolution — a 4K run costs exactly what a 1K draft costs.
| Model | Credit cost |
|---|---|
| Veida AI Image v1 | 4 credits. The house model and the cheapest run on the site, at any size. |
| Nano Banana 2 Lite | 30 credits. The lightest paid tier, and the editor behind the free tier. |
| Seedream 5.0 Lite / Seedream 4.0 / Qwen Image 3 | 35 credits. Fast drafts and iteration passes, and the model built for legible text. |
| Seedream 4.5 / Seedream 5.0 Pro / Qwen Image 3.0 Pro | 40 credits. Photoreal detail and the Qwen text tier, flat across every aspect ratio. |
| Nano Banana 2 / GPT Image 2 / GPT Image 2.5 / Grok Imagine Image 2.0 | 50 credits. Both OpenAI models, GPT Image 2.5 included, plus Nano Banana 2 and Grok — 4K costs the same as 1K. |
| Nano Banana Pro | 70 credits. Nano Banana Pro, for fine detail that has to hold at print size. |
Common questions about generating with this model online.




You can start in the generator on this page without an account, and every new account gets a credit balance to spend on it. Credits are shared across every model on Veida AI, so nothing is locked to one of them.
Yes. The tier wired here is the Pro one, the top rung of the family, which is the one that holds small text together. It runs at 1K or 2K.
The three examples on this page are the honest answer: a poster headline, four paragraphs of infographic body copy, and six handwritten captions, all generated here on 2026-08-05 and none of them typeset afterwards. Write the exact wording into your prompt and it renders that wording.
Yes — multilingual rendering is one of the things the 3.0 generation was built for. Put the exact characters you want in the prompt.
A flat 35 credits. Neither the resolution nor the aspect ratio changes it.
Yes. Upload a source image in the generator and describe the change — the same text-rendering strength applies when you are adding or replacing writing in a picture you already have.
Qwen is built for legible text and structured layout, at a flat 35 credits. Banana 2 recovers better when an edit goes wrong. Text and layout work → Qwen; tricky single edits → Banana.
Write the words you want on the page, pick a ratio, and let it typeset the thing for you.
Generate and edit high-quality images from text or photos. 1K, 2K, 4K.
Consistent run times across generations. Text to image and image editing at 1K, 2K, 4K.
Text to image and description-based edits. 1K–4K, priced per image.
Light-tier image generation and edits at one flat credit cost.
The free image editor. Text to image and photo edits at one flat credit cost.
The original Nano Banana. Text to image and single-photo edits, priced per image.
Google's fast Gemini image line. Text to image and multi-photo edits, 1K–4K.
Google's top Gemini image tier. Sharper type and detail, 1K–4K.
OpenAI's image model. Strong in-image text and layout, 1K–4K.
The entry Seedream tier. Text to image at 1K, 2K or 4K across nine framing presets.
Photoreal text to image at eight aspect ratios, with a basic and a high quality setting.
The top Seedream tier. Photoreal text to image at eight aspect ratios, basic or high fidelity.
xAI's Quality Mode model — designed typography, layouts that hold, and up to five reference images per run.
10 sad AI photo prompts tested on real selfies — sad boy, sad girl, couple and Instagram crying portraits, with before/after pictures and fixes for fake tears.
12 fall photoshoot AI prompts, each run on a real phone snapshot and printed in full: solo, family, baby, couple and pet, with before and after pictures.
GPT Image 2.5 is free in three places that mean three different things. Every limit, every reseller price by quality tier, and what a run really cost us.