Llama 3.2 90B Vision Instruct

About Llama 3.2 90B Vision Instruct

Llama 3.2 90B Vision Instruct is Meta's largest multimodal model, combining powerful language capability with native vision understanding. With 90 billion parameters, it processes both text and images, enabling sophisticated applications requiring visual comprehension. The model excels at image description, visual question answering, document understanding, and tasks combining visual and textual reasoning. Llama 3.2 90B Vision features a substantial context window and demonstrates strong performance on both vision and language benchmarks. Its open weights enable self-hosting and customization for specific visual domains. The model is particularly valuable for document processing, content moderation, and enterprise applications requiring image analysis. For organizations seeking capable multimodal AI with open-source benefits, Llama 3.2 90B Vision offers frontier-adjacent capability with full deployment control. It represents Meta's commitment to advancing open multimodal AI.

Model Specifications

💰 Real-World Cost Examples

Estimated monthly costs for common use cases

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🚀 Quick Start

Get started with Llama 3.2 90B Vision Instruct API

from openai import OpenAI

client = OpenAI(
    base_url="https://api.provider.com/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="meta-llama/llama-3.2-90b-vision-instruct",
    messages=[
        {"role": "user", "content": "Hello!"}
    ]
)
print(response.choices[0].message.content)

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