> ## Documentation Index
> Fetch the complete documentation index at: https://docs.redpill.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Vision Models

> Using image understanding with multimodal models

## Overview

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

## Supported models

Vision works on any model whose `input_modalities` include `image`. Filter
[`GET /v1/models`](/api-reference/models) to find them.

## Basic Usage

<CodeGroup>
  ```python Python theme={null}
  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"
                  }
              }
          ]
      }]
  )
  ```

  ```javascript JavaScript theme={null}
  import OpenAI from 'openai';

  const response = await 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' }
        }
      ]
    }]
  });
  ```
</CodeGroup>

## Base64 Images

```python theme={null}
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}"
                }
            }
        ]
    }]
)
```

## Multiple Images

```python theme={null}
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"}}
        ]
    }]
)
```

## Use Cases

* Medical image analysis
* Document OCR
* Chart interpretation
* Product inspection
* Satellite imagery

<Info>
  `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.
</Info>