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Overview

Vision models can analyze images, screenshots, diagrams, and more.

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Supported models

Vision works on any model whose input_modalities include image. Filter GET /v1/models to find them.

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Basic Usage

response = client.chat.completions.create(
    model="qwen/qwen3-vl-30b-a3b-instruct",
    messages=[{
        "role": "user",
        "content": [
            {
                "type": "text",
                "text": "What's in this image?"
            },
            {
                "type": "image_url",
                "image_url": {
                    "url": "https://example.com/image.jpg"
                }
            }
        ]
    }]
)

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Base64 Images

import base64

def encode_image(image_path):
    with open(image_path, "rb") as image_file:
        return base64.b64encode(image_file.read()).decode('utf-8')

base64_image = encode_image("photo.jpg")

response = client.chat.completions.create(
    model="qwen/qwen3-vl-30b-a3b-instruct",
    messages=[{
        "role": "user",
        "content": [
            {"type": "text", "text": "Describe this image"},
            {
                "type": "image_url",
                "image_url": {
                    "url": f"data:image/jpeg;base64,{base64_image}"
                }
            }
        ]
    }]
)

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Multiple Images

response = client.chat.completions.create(
    model="qwen/qwen3-vl-30b-a3b-instruct",
    messages=[{
        "role": "user",
        "content": [
            {"type": "text", "text": "Compare these images"},
            {"type": "image_url", "image_url": {"url": "https://example.com/1.jpg"}},
            {"type": "image_url", "image_url": {"url": "https://example.com/2.jpg"}}
        ]
    }]
)

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Use Cases

  • Medical image analysis
  • Document OCR
  • Chart interpretation
  • Product inspection
  • Satellite imagery
qwen/qwen3-vl-30b-a3b-instruct can be served by a verified upstream provider for confidential image processing. Confirm a confidential response per request from the receipt.