> ## Documentation Index
> Fetch the complete documentation index at: https://mixroute.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.
# Llama 4 Maverick FP8
> 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-maverick-17b-128e-instruct-fp8 |
| `context` | 1M 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 128 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-maverick-17b-128e-instruct-fp8",
"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](/docs/api-reference/endpoint/chat-openai).
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