Qwen Professional image layout & editing
Qwen Image 3.0 Pro
Choose detail fidelity when the image carries real information.
Qwen Image 3.0 Pro is a quality-first Qwen image route for generation and editing. TokenHot describes text-to-image and edits from one to three references, prompts up to roughly 4.5K tokens, dense layouts, fine text and multilingual typography. Use it for posters, storyboards, menus and product visuals where composition and detail fidelity matter more than speed or cost.
- Text + 1–3 references
- Complex layouts
- Quality-first output
The current model route is image-output focused and does not expose the existing generic image Playground. Use the API documentation and dynamic pricing table for the supported size and reference parameters.
USD /s
Pricing
| Group | Tier | Price |
|---|---|---|
| default | image_input | $0.003 |
| default | size=1K | $0.21 |
| default | size=2K | $0.42 |
| qwen-0.8 | image_input | $0.0024 |
| qwen-0.8 | size=1K | $0.168 |
| qwen-0.8 | size=2K | $0.336 |
Public list prices are shown in USD. Final charges may vary by account group and usage tier.
Overview
What is Qwen Image 3.0 Pro?
Treat the image as an information surface when it contains labels, tables or interface copy. Supply exact text, hierarchy and language requirements, then inspect every glyph and relationship in the result.
Use Pro when a complex layout or fine text justifies the cost. Compare the standard Qwen Image route on the same brief when speed and repeated generation matter more.
Plan the reading order
Name the grid, focal object, copy zones and hierarchy before adding visual style.
Specify and inspect text
Provide exact copy and review language, spelling, font treatment and placement after generation.
Use references with intent
State what each reference contributes and which elements must remain unchanged.
From brief to deliverable
Put Qwen Image 3.0 Pro to work
Marketing and education teams
Create an information-dense poster
Generate a poster from exact copy, layout rules and reference style while keeping the message hierarchy reviewable.
- Tools you need
- Image generation, asset storage and a designer review.
- Keep in mind
- Fine text and multilingual output require direct inspection; do not publish from a thumbnail.
View a task brief
Use the supplied copy, language, reference images, canvas size and layout constraints. to plan create an information-dense poster. Return a reviewable poster draft and text qa sheet., state the evidence limits and list the checks required before accepting the result. Do not claim an output or interaction was verified without direct evidence.
Directors and design teams
Develop a storyboard frame
Use references and a shot brief to create a detailed frame that can guide later production.
- Tools you need
- Reference upload, image review and a production handoff.
- Keep in mind
- A frame is planning material, not proof that a later video will match it.
View a task brief
Use the supplied shot description, character or location references, aspect ratio and continuity notes. to plan develop a storyboard frame. Return a storyboard frame with continuity annotations., state the evidence limits and list the checks required before accepting the result. Do not claim an output or interaction was verified without direct evidence.
Product and brand teams
Edit a reference set
Apply one controlled change across a product reference while preserving identity, geometry and required labels.
- Tools you need
- Reference upload, asset versioning and visual QA.
- Keep in mind
- Small type, reflections and exact packaging details need human inspection.
View a task brief
Use the supplied one to three reference images, invariant list, requested edit and export target. to plan edit a reference set. Return an edited product visual with a defect checklist., state the evidence limits and list the checks required before accepting the result. Do not claim an output or interaction was verified without direct evidence.
Capabilities in context
Key features
| Feature | What you get | Why it matters |
|---|---|---|
| Reference count | The catalog description lists 1–3 reference images | Assign each reference a clear role and keep the accepted source set with the prompt. |
| Prompt budget | Prompts up to roughly 4.5K tokens are described | Use a compact, structured brief that prioritizes copy, layout and invariants. |
| Layout fidelity | The route is positioned for dense layouts and fine text | Inspect every label and relationship; the model output is a draft until reviewed. |
| Size tiers | Pricing exposes 1K and 2K labels | Choose size explicitly and use the current dynamic table for cost. |
| Family boundary | Pro and standard routes are separate | Compare accepted quality, latency and cost on the same image tasks. |
The page uses TokenHot catalog metadata and its image route. Layout, text and reference fidelity must be checked on real prompts and outputs.
Audience & fit
Where Qwen Image 3.0 Pro fits
Designers making information-rich visuals
Use Pro for posters, menus, storyboards and layouts where text and composition are part of the deliverable.
Brand and product teams
Keep reference invariants and exact copy explicit, then review packaging, labels and export dimensions.
Creative production teams
Treat generated images as drafts that inform production, not as unreviewed final assets.
Cost context
Plan the cost of a useful result
Price size and references
Size, reference count and rejected drafts affect total cost. Use the current pricing table and retain the request parameters.
Budget typography QA
Dense text needs a visual review pass and possible manual correction after generation.
Separate production finishing
Color, legal copy, accessibility and export checks remain part of the design workflow.
Use the current pricing table for available rates and account groups. Model IDs and prices come from TokenHot’s catalog; provider pricing and subscriptions are separate.
API
Code examples
curl --location --request POST 'https://api.tokenhot.ai/v1/images/generations' \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data-raw '{
"model": "qwen-image-3.0-pro",
"input": {
"messages": [
{
"role": "user",
"content": [
{
"text": "Draw a cute cat."
}
]
}
]
},
"parameters": {
"size": "2K",
"negative_prompt": "",
"prompt_extend": true,
"watermark": false
}
}'FAQ
Frequently asked questions
What is Qwen Image 3.0 Pro best suited for?
Qwen Image 3.0 Pro is suited to the input, output, and capability types listed on this page. Test production workloads before choosing it for a critical system.
How is Qwen Image 3.0 Pro priced?
Pricing is shown in the pricing section above. Actual cost depends on usage volume, account group, and the request payload.
How can I call Qwen Image 3.0 Pro?
Use the model ID shown above with one of the supported API protocols. Code examples are provided when usage data is available.
How many references can Pro use?
The catalog description lists one to three reference images. Verify the exact request shape and image limits on the current endpoint.
Can it guarantee perfect small text?
No. Fine text is a stated use case, not a guarantee. Inspect every glyph and label before publication.
When should I choose the standard Qwen Image route?
Compare the same briefs. Use standard for faster, repeated work and Pro when complex composition or detail fidelity justifies the cost.
Why is there no generic Playground on this page?
The existing application only enables image trials for model families with a verified request adapter. Use the API docs and pricing table for this route.
Get started
Build with Qwen Image 3.0 Pro
API