アリババ、画像生成モデル「Qwen-Image-3.0-Pro」を公開

• Overview
• Features
• Pricing
• Rate Limits
• API Reference

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Image-to-ImageText-to-Image

Overview

Image-to-ImageText-to-Image

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 various 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

ImageText

Output

Image

Features

Prefix Completion

Enable Partial Mode when calling the Qwen API to make the model continue strictly from your provided prefix text.View docs

Function Calling

Use function calling to connect large language models with external tools and systems.View docs

Cache

Context Cache stores shared prefixes for long-context requests to reduce repeated computation, improve latency, and lower cost.View docs

Structured Outputs

Structured Outputs help ensure the model returns a JSON string in the expected format.View docs

Batches

Asynchronously process requests in batches to reduce costs.View docs

Web Search

Enable web search so the model can answer with real-time retrieved data.View docs

Fine-tuning

Train models on sample data to better adapt them to specific tasks.View docs

Rate Limits

• RPMRequests Per Minute1

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