# Qwen 3.0 Image Pro

> Source: <https://www.qwencloud.com/models/qwen-image-3.0-pro>
> Published: 2026-08-05 14:53:29+00:00

### Qwen-Image-3.0-Pro

[Try AI](https://www.qwencloud.com/try-ai/chat?models=qwen-image-3.0-pro)

[Add to Compare](/compare?models=qwen-image-3.0-pro)

## Overview

Rich content: Supports input of up to 4.5k tokens and dense information layout with images-within-images, enabling complex layouts like newspapers, storyboards, menus, and exam papers to be generated in a single pass. Authentic detail: Supports precise rendering of text as small as 10px, and vividly reproduces fine details such as micro-expressions, pores, and individual strands of hair—approaching the quality of real photography. Deep knowledge: Supports native rendering of 12 languages and 20+ fonts, realistic simulation of mainstream interfaces such as web pages, games, and live streams, fully incorporating external knowledge. Qwen-Image-3.0-Pro isn't just pursuing "good looks"—it's pursuing "usefulness", making image generation a truly deployable productivity tool.

#### Input

#### Output

## Features

#### Prefix Completion

Enable Partial Mode when calling the Qwen API to make the model continue strictly from your provided prefix text.[View docs](https://docs.qwencloud.com/developer-guides/text-generation/partial-mode)

#### Function Calling

Use function calling to connect large language models with external tools and systems.[View docs](https://docs.qwencloud.com/developer-guides/text-generation/function-calling)

#### Cache

Context Cache stores shared prefixes for long-context requests to reduce repeated computation, improve latency, and lower cost.[View docs](https://docs.qwencloud.com/developer-guides/text-generation/context-cache#implicit-cache)

#### Structured Outputs

Structured Outputs help ensure the model returns a JSON string in the expected format.[View docs](https://docs.qwencloud.com/developer-guides/text-generation/structured-output)

## Pricing

- 1K Image Input$0.003Per image
- 2K Image Input$0.003Per image
- 1K Image Output$0.04Per image
- 2K Image Output$0.075Per image

## Rate Limits

- RPMRequests Per Minute1

## API Reference

[Call API](https://home.qwencloud.com/api-keys)

```
curl --location 'https://dashscope-intl.aliyuncs.com/api/v1/services/aigc/multimodal-generation/generation' \
--header 'Content-Type: application/json' \
--header "Authorization: Bearer $DASHSCOPE_API_KEY" \
--data '{
    "model": "qwen-image-3.0-pro",
    "input": {
        "messages": [
            {
                "role": "user",
                "content": [
                    {
                        "text": "A vertical outdoor portrait photograph with a warm, film-like afternoon street atmosphere, featuring a beautiful young adult woman looking back over her shoulder at the camera with a joyful toothy smile, her long thick wavy black hair catching the golden rim light, her fair skin, delicate eyebrows, bright eyes, and soft coral-red lips creating a radiant expression. She wears a simple black backless dress with thin spaghetti straps, showcasing her back, and cradles a large, lush bouquet of orange, apricot, pink, and pale peach roses in her arms, creating a sharp contrast against her dress. The top-left of the frame is covered with dark green vines and small orange flowers draping naturally, partially obscuring a matte dark blue signboard with the white Gothic text \"Il Messaggero\". Below the sign is a blurred glass newsstand window with black metal frames showing hints of newspapers and magazines. The right background features strong golden hour backlighting streaming down a warm-toned, sun-drenched city street, with buildings blurred into soft beige-gray shapes, creating a beautiful bokeh effect and a blurry red traffic sign in the far distance. The entire image has a cinematic, romantic, and bright urban stroll atmosphere, characterized by soft contrast, fine film grain, a shallow depth of field, and stunning backlit highlights."
                    }
                ]
            }
        ]
    },
    "parameters": {
        "prompt_extend": true
    }
}'
```