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Llama 3.2 90B Vision Instruct

meta-llama/llama-3.2-90b-vision-instruct

Meta model · Served by DeepInfra · live on the gateway

Try in chatGet API key
Input / 1M
$0.350
Output / 1M
$0.400
Context
16K tokens
Max output
4K tokens
Input
Text, Image
Released
2y ago

Pricing

Input tokens$0.350 per 1M
Output tokens$0.400 per 1M
Provider list priceExactly what your balance is debited; our fee is charged when you buy credits

About Llama 3.2 90B Vision Instruct

Open Llama multimodal model for image understanding and text reasoning

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-3.2-90b-vision-instruct",
    "messages": [{ "role": "user", "content": "Hello" }]
  }'

Frequently asked

How do I call Llama 3.2 90B Vision Instruct 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-3.2-90b-vision-instruct. The chat completions endpoint is https://rapidrouter.ai/api/v1/chat/completions.

What is the context window of Llama 3.2 90B Vision Instruct?

Llama 3.2 90B Vision Instruct has a context window of 16,000 tokens on Rapid Router, and returns up to 4,096 output tokens per reply.

What can Llama 3.2 90B Vision Instruct do?

On Rapid Router, Llama 3.2 90B Vision Instruct supports tool calling, image input.

More Llama models

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