QwenQwen Balanced image generation & editing

Qwen Image 3.0

Turn everyday visual briefs into consistent, reviewable drafts.

Qwen Image 3.0 is the balanced standard Qwen image route in TokenHot's catalog. It supports text-to-image, edits from one to three references, prompts up to roughly 4.5K tokens, up to six outputs and 2K-class resolution. Use it for posters, interfaces, infographics and repeated creative work where speed and cost efficiency matter.

  • Text + image input
  • Up to 6 outputs
  • Balanced image workflow

The standard route and Qwen Image 3.0 Pro are separate models. Use the existing API path and dynamic pricing table; do not imply that the standard route has Pro's quality-first positioning on complex layouts.

Try this model

Choose an aspect ratio and resolution to generate an image.

qwen-image-3.0

Input

Aspect ratio
Resolution

1024 × 1024 px

Uses your account balance at the model’s current rates.

Generated result

Your creation appears here

Enter a prompt, choose your settings, and generate.

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Top up balance

USD /s

Pricing

GroupTierPrice
defaultimage_input$0.003
defaultsize=1K$0.21
defaultsize=2K$0.21
qwen-0.8image_input$0.0024
qwen-0.8size=1K$0.168
qwen-0.8size=2K$0.168
default
image_input$0.003
size=1K$0.21
size=2K$0.21
qwen-0.8
image_input$0.0024
size=1K$0.168
size=2K$0.168

Public list prices are shown in USD. Final charges may vary by account group and usage tier.

Overview

What is Qwen Image 3.0?

A repeatable visual workflow starts with a manifest: placement, dimensions, copy, reference and acceptance checks. Generate a small set, select against the rubric and retain rejected reasons so iteration improves.

Move to Pro when a dense layout, fine text or complex edit repeatedly fails the standard route. Keep the choice tied to the accepted asset and total review effort.

Everyday creative

Specify the placement

State the destination surface, dimensions, audience and hierarchy so the draft has a real job.

Batch exploration

Generate with a rubric

Use multiple outputs to explore controlled alternatives, then select with consistent criteria.

Reference editing

Keep the subject stable

List the parts of a reference that must remain and the single change the edit should make.

From brief to deliverable

Put Qwen Image 3.0 to work

Start with a concrete task and decide what a useful result looks like.

Marketing and content teams

Create a small poster batch

Generate controlled poster variants for defined placements and select them using a copy, hierarchy and crop rubric.

Tools you need
Image generation, storage and a visual QA pass.
Keep in mind
Each placement can fail differently; inspect text and crop separately.
View a task brief

Use the supplied exact copy, placement sizes, reference image and selection criteria. to plan create a small poster batch. Return a reviewed poster set with export metadata., 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 design teams

Explore an interface visual

Use a product concept and layout constraints to explore a visual direction before a designer translates it into components.

Tools you need
Image generation, design review and a component handoff.
Keep in mind
Generated UI is inspiration, not functional interface code or usability evidence.
View a task brief

Use the supplied concept brief, reference, device frame and visual constraints. to plan explore an interface visual. Return a selected visual direction and handoff notes., 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.

Brand and e-commerce teams

Make a focused reference edit

Change one element in a supplied reference while keeping the subject, composition and key labels stable.

Tools you need
Reference upload, versioning and visual QA.
Keep in mind
Fine text, faces and packaging details need human inspection.
View a task brief

Use the supplied reference image, invariant list, requested change and output target. to plan make a focused reference edit. Return an edited variant with a defect list., 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

FeatureWhat you getWhy it matters
Reference editingOne to three references are described in the catalogUse references to ground the request and retain the invariant list in the prompt record.
Prompt budgetPrompts up to roughly 4.5K tokens are describedUse structured copy and constraints instead of a long unprioritized paragraph.
Output batchUp to six outputs are describedUse a selection rubric and record why a candidate was accepted or rejected.
Resolution2K-class resolution is describedKeep the destination size and current pricing parameters explicit.
Standard tierBalanced speed and quality positioningUse Pro for complex layouts and standard for repeated everyday work when the same checks pass.

The page reflects TokenHot catalog metadata and the existing image route. Output count and visual quality should be verified on your actual brief and destination sizes.

Audience & fit

Where Qwen Image 3.0 fits

Content and social teams

Use the standard route for repeated posters, visual concepts and placement variants with a stable review rubric.

Product and design teams

Explore visual directions before implementation while keeping generated UI separate from functional UX evidence.

E-commerce and brand teams

Apply focused reference edits, then inspect text, packaging and crop at the target size.

Cost context

Plan the cost of a useful result

Compare the accepted batch

Multiple outputs can improve selection but increase spend. Measure cost per accepted asset, including review and reruns.

Keep placement parameters

Size and destination affect both the visual check and the rate. Store them with the batch manifest.

Do not skip text QA

A poster or interface concept still needs copy, glyph, alignment and accessibility review before publication.

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",
    "input": {
        "messages": [
            {
                "role": "user",
                "content": [
                    {
                        "text": "Draw a cute cat."
                    }
                ]
            }
        ]
    },
    "parameters": {
        "size": "2K",
        "negative_prompt": "",
        "prompt_extend": true,
        "watermark": false
    }
}'

Qwen

Related models

QwenQwenQwen Image 3.0 PRO

A quality-first image generation and editing model: it supports text-to-image and edits from 1–3 reference images, accepts prompts of up to about 4.5K tokens, and is aimed at dense layouts, fine 10px-scale text, 12 languages, and multiple fonts. Choose it over the standard variant when complex composition and detail fidelity matter more than speed or cost; use the standard variant for a faster, more economical workflow.

$0.0024/sOpenAIOpenAIGPT Image 2 Image TO Image

This is a discounted trial route. Generation may take longer and has roughly a 10% chance of failing. It is best for cost-sensitive image generation trials where queueing and occasional failures are acceptable; for more stable production use, choose a regular route.

$0.014/imageOpenAIOpenAIGPT Image 2 Text TO Image

This is a discounted trial route. Generation may take longer and has roughly a 10% chance of failing. It is best for cost-sensitive image generation trials where queueing and occasional failures are acceptable; for more stable production use, choose a regular route.

$0.021/imageZhipuZhipu AIGLM Image

Built for image generation and editing, with a stronger focus than earlier GLM vision capabilities on Chinese prompts, image-text understanding, and controllable generation. Compared with GPT Image, Gemini image models, and Qwen Image, it fits Chinese marketing assets, explanatory visuals, and iterative visual edits.

$0.88/1M tokens

FAQ

Frequently asked questions

What is Qwen Image 3.0 best suited for?

Qwen Image 3.0 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 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?

Use the model ID shown above with one of the supported API protocols. Code examples are provided when usage data is available.

Can Qwen Image 3.0 edit reference images?

The catalog description lists image input and one to three reference images. Verify the current request format and supported edit behavior.

How many images can one request return?

The catalog description says up to six outputs. Confirm the endpoint response and account limits for your request.

When should I use Pro?

Use the same brief and acceptance rubric. Choose Pro when complex layout or fine detail is worth more than standard-tier speed and cost.

Does the generated UI prove the product works?

No. Generated interface visuals are design references; functional behavior requires a real implementation and UX testing.

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