Meta: Llama 3.2 90B Vision Instruct

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

Created Sep 25, 2024131,072 context

$0.90/M input tokens$0.90/M output tokens$1.301/K input imgs

The Llama 90B Vision model is a top-tier, 90-billion-parameter multimodal model designed for the most challenging visual reasoning and language tasks. It offers unparalleled accuracy in image captioning, visual question answering, and advanced image-text comprehension. Pre-trained on vast multimodal datasets and fine-tuned with human feedback, the Llama 90B Vision is engineered to handle the most demanding image-based AI tasks.

This model is perfect for industries requiring cutting-edge multimodal AI capabilities, particularly those dealing with complex, real-time visual and textual analysis.

Click here for the original model card.

Usage of this model is subject to Meta's Acceptable Use Policy.

Providers for Llama 3.2 90B Vision Instruct

OpenRouter routes requests to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.

Apps using Llama 3.2 90B Vision Instruct

Top public apps this week using this model

Recent activity on Llama 3.2 90B Vision Instruct

Tokens processed per day

Uptime stats for Llama 3.2 90B Vision Instruct

Uptime stats for Llama 3.2 90B Vision Instruct across all providers

Sample code and API for Llama 3.2 90B Vision Instruct

OpenRouter normalizes requests and responses across providers for you.

OpenRouter provides an OpenAI-compatible completion API to 300+ models & providers that you can call directly, or using the OpenAI SDK. Additionally, some third-party SDKs are available.

In the examples below, the OpenRouter-specific headers are optional. Setting them allows your app to appear on the OpenRouter leaderboards.

Using third-party SDKs

For information about using third-party SDKs and frameworks with OpenRouter, please see our frameworks documentation.

See the Request docs for all possible fields, and Parameters for explanations of specific sampling parameters.