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

Llama 3.2 90B Vision Instruct has a 131,072 token context window.

What inputs and outputs does Llama 3.2 90B Vision Instruct support?

Llama 3.2 90B Vision Instruct accepts text and images as input and returns text.

What other text models does Meta Llama have?

Llama Guard 4 12B, Llama 4 Maverick, Llama 4 Scout and 5 more are other text models from Meta Llama.

When was Llama 3.2 90B Vision Instruct released?

Llama 3.2 90B Vision Instruct was released on September 25, 2024. Its knowledge cutoff is December 31, 2023.

Meta: Llama 3.2 90B Vision Instruct

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

Model weights

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.

Modalities

Context

131K

Released

Sep 25, 2024

Knowledge cutoff

Dec 2023

Not currently available through EU in-region routing. In-region routing docs

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Llama Guard 4 was aligned to safeguard against the standardized MLCommons hazards taxonomy and designed to support multimodal Llama 4 capabilities. Specifically, it combines features from previous Llama Guard models, providing content moderation for English and multiple supported languages, along with enhanced capabilities to handle mixed text-and-image prompts, including multiple images. Additionally, Llama Guard 4 is integrated into the Llama Moderations API, extending robust safety classification to text and images.

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Llama 4 Maverick

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward pass (400B total). It supports multilingual text and image input, and produces multilingual text and code output across 12 supported languages. Optimized for vision-language tasks, Maverick is instruction-tuned for assistant-like behavior, image reasoning, and general-purpose multimodal interaction.

Maverick features early fusion for native multimodality and a 1 million token context window. It was trained on a curated mixture of public, licensed, and Meta-platform data, covering ~22 trillion tokens, with a knowledge cutoff in August 2024. Released on April 5, 2025 under the Llama 4 Community License, Maverick is suited for research and commercial applications requiring advanced multimodal understanding and high model throughput.

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Llama 4 Scout

Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B. It supports native multimodal input (text and image) and multilingual output (text and code) across 12 supported languages. Designed for assistant-style interaction and visual reasoning, Scout uses 16 experts per forward pass and features a context length of 10 million tokens, with a training corpus of ~40 trillion tokens.

Built for high efficiency and local or commercial deployment, Llama 4 Scout incorporates early fusion for seamless modality integration. It is instruction-tuned for use in multilingual chat, captioning, and image understanding tasks. Released under the Llama 4 Community License, it was last trained on data up to August 2024 and launched publicly on April 5, 2025.

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Llama Guard 3 8B

Llama Guard 3 is a Llama-3.1-8B pretrained model, fine-tuned for content safety classification. Similar to previous versions, it can be used to classify content in both LLM inputs (prompt classification) and in LLM responses (response classification). It acts as an LLM – it generates text in its output that indicates whether a given prompt or response is safe or unsafe, and if unsafe, it also lists the content categories violated.

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Text

Llama 3.3 70B Instruct

The Meta Llama 3.3 multilingual large language model (LLM) is a pretrained and instruction tuned generative model in 70B (text in/text out). The Llama 3.3 instruction tuned text only model is optimized for multilingual dialogue use cases and outperforms many of the available open source and closed chat models on common industry benchmarks.

Supported languages: English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai.

Model Card

Text131K context$0.10 / $0.32

Llama 3.2 11B Vision Instruct

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.

Text131K context

Llama 3.2 1B Instruct

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Click here for the original model card.

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

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Click here for the original model card.

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To read more about the model release, click here. Usage of this model is subject to Meta's Acceptable Use Policy.

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Meta: Llama 3.2 90B Vision Instruct

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More models from Meta Llama

Meta: Llama 3.2 90B Vision Instruct

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Frequently asked questions

What is Llama 3.2 90B Vision Instruct?

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

What inputs and outputs does Llama 3.2 90B Vision Instruct support?

What other text models does Meta Llama have?

When was Llama 3.2 90B Vision Instruct released?

Explore more models

More models from Meta Llama

More models from Meta Llama