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Documentation Index

Fetch the complete documentation index at: https://mintlify.com/QwenLM/Qwen3-VL/llms.txt

Use this file to discover all available pages before exploring further.

You can use Qwen3-VL models through the DashScope API using the OpenAI client library. This provides a familiar interface for interacting with the models.

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Basic Setup

First, install the OpenAI Python client: 
pip install openai

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Image Understanding Example

Here’s how to use the DashScope API with an OpenAI-compatible client: 
from openai import OpenAI

# Set your DASHSCOPE_API_KEY here
DASHSCOPE_API_KEY = "your-api-key-here"

client = OpenAI(
    api_key=DASHSCOPE_API_KEY,
    base_url="https://dashscope.aliyuncs.com/compatible-mode/v1",
)

completion = client.chat.completions.create(
    model="qwen3-vl-235b-a22b-instruct",
    messages=[{"role": "user", "content": [
        {"type": "image_url",
         "image_url": {"url": "https://dashscope.oss-cn-beijing.aliyuncs.com/images/dog_and_girl.jpeg"}},
        {"type": "text", "text": "这是什么"},
    ]}]
)
print(completion.model_dump_json())

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Key Features

  • OpenAI-Compatible API: Use familiar OpenAI client patterns
  • Multi-Modal Support: Send images via URLs with image_url type
  • Model Selection: Choose from available Qwen3-VL model sizes
  • Flexible Content: Combine text and images in a single request

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API Configuration

  • Base URL: https://dashscope.aliyuncs.com/compatible-mode/v1
  • Authentication: Use your DashScope API key
  • Available Models: qwen3-vl-235b-a22b-instruct and other Qwen3-VL variants

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Additional Resources

For more detailed usage and advanced features, refer to the Aliyun DashScope documentation.

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