Meta: Llama 3.2 11B Vision Instruct

meta-llama/llama-3.2-11b-vision-instruct

Released Sep 25, 2024131,072 context

$0.049/M input tokens$0.049/M output tokens

Llama 3.2 11B Vision is a multimodal model with 11 billion parameters, designed to handle tasks combining visual and textual data. It excels in tasks such as image captioning and visual question answering, bridging the gap between language generation and visual reasoning. Pre-trained on a massive dataset of image-text pairs, it performs well in complex, high-accuracy image analysis.

Its ability to integrate visual understanding with language processing makes it an ideal solution for industries requiring comprehensive visual-linguistic AI applications, such as content creation, AI-driven customer service, and research.

Click here for the original model card.

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

Providers for Llama 3.2 11B Vision Instruct

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Performance for Llama 3.2 11B Vision Instruct

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Effective Pricing for Llama 3.2 11B Vision Instruct

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Apps using Llama 3.2 11B Vision Instruct

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Prompt

373M

Completion

1.59M

Prompt tokens measure input size. Reasoning tokens show internal thinking before a response. Completion tokens reflect total output length.

Uptime stats for Llama 3.2 11B Vision Instruct

Uptime stats for Llama 3.2 11B Vision Instruct across all providers

Sample code and API for Llama 3.2 11B Vision Instruct

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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.

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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.

Llama 3.2 11B Vision Instruct - API Pricing & Providers | OpenRouter