Model Marketplace

Qwen-Image-Plus

Will be retired on October 10, 2026View announcement
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Overview

The Qwen series of image-generation models boasts exceptional text-rendering capabilities and excels in complex text rendering as well as a wide range of generation and editing tasks. This version, a snapshot taken on January 9, 2026, is a distilled and accelerated variant of Qwen-Image-Max, enabling faster generation of high-quality images.

Input

Text

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

Pricing

  • Image Generation
    $0.03Per image

Rate Limits

  • RPMRequests Per Minute
    120

API Reference

Call API
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import json
import os
import dashscope
from dashscope import MultiModalConversation

dashscope.base_http_api_url = 'https://maas.qwencloudapi.com/api/v1'

messages = [
    {
        "role": "user",
        "content": [
            {"text": "An elegant and solemn couplet hangs in a hall. The room features tranquil, classic Chinese decor. On the table are several blue and white porcelain items. The left scroll of the couplet reads, "Righteousness is the root of innate knowledge. Humans and machines share the same path and excel in innovative thinking (Chinese: 义本生知人机同道善思新)". The right scroll reads, "Connecting to the cloud imparts wisdom. The cosmos reveals its patterns and inspires lofty ambitions (Chinese: 通云赋智乾坤启数高志远)". The horizontal scroll reads, "Wisdom enlightens Tongyi (Chinese: 智启通义)". The calligraphy is flowing. A Chinese-style painting of Yueyang Tower hangs in the middle."}
        ]
    }
]

# If the environment variable is not set, replace it with your Model Studio API key: api_key="sk-xxx"
api_key = os.getenv("DASHSCOPE_API_KEY")

response = MultiModalConversation.call(
    api_key=api_key,
    model="qwen-image-plus-2026-01-09",
    messages=messages,
    result_format='message',
    stream=False,
    watermark=False,
    prompt_extend=True,
    negative_prompt='',
    size='1328*1328'
)

if response.status_code == 200:
    print(json.dumps(response, ensure_ascii=False))
else:
    print(f"HTTP status code: {response.status_code}")
    print(f"Error code: {response.code}")
    print(f"Error message: {response.message}")
    print("For more information, see the documentation: https://www.alibabacloud.com/help/en/model-studio/error-code")