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

# Llama 4 Scout

> Meta multimodal mixture-of-experts model for text and image understanding.

Meta multimodal mixture-of-experts model for text and image understanding.

## Model Information

| Field | Description |
| - | - |
| `model` | llama-4-scout-17b-16e-instruct |
| `context` | 10M tokens |
| `endpoint` | POST /v1/chat/completions |

Context and output sizes describe the model specification. Effective request limits, availability, and billing depend on the MixRoute route.

## Capabilities and Usage

* Uses 17B active parameters and 16 experts; accepts text/images and produces text/code.
* The context size is the model developer specification, not a guarantee for every hosted route. Effective limits depend on deployment.

## Request Example

Set `MIXROUTE_API_KEY` before making the request.

```bash theme={null}
curl --request POST "https://api.mixroute.ai/v1/chat/completions" \
  --header "Authorization: Bearer $MIXROUTE_API_KEY" \
  --header "Content-Type: application/json" \
  --data '{
  "model": "llama-4-scout-17b-16e-instruct",
  "messages": [
    {
      "role": "user",
      "content": "Explain the tradeoffs of database indexes."
    }
  ],
  "max_tokens": 1024
}'
```

## Request Fields

| Field | Description |
| - | - |
| `model` | Required. Use the exact model ID above. |
| `messages` | Required conversation messages with role and content. |
| `max_tokens` | Optional output-token budget. |

Complete request format: [chat-openai](/api-reference/endpoint/chat-openai).


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