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Llama-4-Maverick-17B-128E-Instruct-FP8

meta-llama/llama-4-maverick-17b-128e-instruct-fp8

Meta model · Served by DeepInfra · live on the gateway

Try in chatGet API key
Input / 1M
$0.200
Output / 1M
$0.800
Context
128K tokens
Max output
4K tokens
Input
Text, Image
Released
1y ago

Pricing

Input tokens$0.200 per 1M
Output tokens$0.800 per 1M
Provider list priceExactly what your balance is debited; our fee is charged when you buy credits

About Llama-4-Maverick-17B-128E-Instruct-FP8

Open multimodal Llama model for strong reasoning and fast responses

VisionTools

What it supports

  • Tool calling (function calling)
  • JSON mode and structured output
  • Image input (vision)
  • Audio input
  • Extended reasoning
  • Streaming responses
  • OpenAI SDK, Anthropic SDK and any OpenAI-compatible client

Make a request

curl https://rapidrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $RAPIDROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "meta-llama/llama-4-maverick-17b-128e-instruct-fp8",
    "messages": [{ "role": "user", "content": "Hello" }]
  }'

Frequently asked

How do I call Llama-4-Maverick-17B-128E-Instruct-FP8 through an OpenAI-compatible API?

Point any OpenAI-compatible client at https://rapidrouter.ai/api/v1 with a Rapid Router API key and set the model to meta-llama/llama-4-maverick-17b-128e-instruct-fp8. The chat completions endpoint is https://rapidrouter.ai/api/v1/chat/completions.

What is the context window of Llama-4-Maverick-17B-128E-Instruct-FP8?

Llama-4-Maverick-17B-128E-Instruct-FP8 has a context window of 128,000 tokens on Rapid Router, and returns up to 4,096 output tokens per reply.

What can Llama-4-Maverick-17B-128E-Instruct-FP8 do?

On Rapid Router, Llama-4-Maverick-17B-128E-Instruct-FP8 supports tool calling, image input.

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