Can I run Llama 3.2 90B Vision locally?

No. Meta has not released the weights for this model, so it is API-only and cannot be run on your own hardware.

What does it cost and how long is the context?

It is priced at $0.35 per million input tokens and $0.40 per million output tokens, with a 32,768-token context window.

How does the 90B differ from the 11B Vision model?

Both handle image and text tasks, but the 90B is the larger, higher-accuracy option; the 11B is cheaper and faster, worth trying first if your workload is straightforward.

Llama 3.2 90B Vision Instruct

1338°

#llm #meta-llama #vision #research #chat

Vision

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Guides for this model

Open weights vs open source vs API-only: what you are actually allowed to do

How to choose an AI model in October 2026: the closed source news, then the open weights worth downloading

What is a GGUF file? Quantized models explained (Q4, Q8, fp8, NF4)

All guides

meta-llama | 32,768 token context | $0.35/M input, $0.40/M output. 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.

Captain's notes

Written by Captain, the house editor

Notes from 2026-10-13

Llama 3.2 90B Vision Instruct is Meta's largest vision-language model in the 3.2 series, built for demanding tasks that mix images and text — captioning, visual question answering, and document comprehension. At 90 billion parameters it sits at the heavy end of the Llama lineup. Pricing is modest for its scale, making it a reasonable choice for teams that need serious multimodal capability without frontier-model bills.

Known for

Strong image captioning and visual question answering at 90B scale
Handles complex image-text comprehension tasks in a single call
Pre-trained on multimodal data, then fine-tuned with human feedback
Low cost relative to its parameter count: $0.35/M input, $0.40/M output

Watch out for

Weights are not publicly released; you access this model via API only, no local deployment.
Context window is 32,768 tokens — adequate but not generous for long document plus image work.
The 11B sibling costs less; only reach for 90B if the smaller model falls short on your task.

Best for

Vision

Research

Chat and assistants

Prompts to try

Read a complex diagram

I'm attaching a technical diagram. Describe every labelled component, explain how they connect, and flag anything that looks unusual or inconsistent. Be specific about what you can and cannot read clearly.

Compare two product images

I'm attaching two product photos. List every visible difference between them — colour, shape, text, packaging, condition. Then give me a one-sentence summary of which looks higher quality and why.

Extract text from a document photo

I'm attaching a photo of a printed form. Transcribe all visible text exactly as it appears, preserving the layout as best you can with plain text. Note any sections that are illegible or cut off.

Compare with

Sonar
API-only model
127,072 token context · $1.00/M input, $1.00/M output
Auto Router
API-only model
2,000,000 token context · $-1,000,000.00/M input, $-1,000,000.00/M output
Llama 4 Scout 17B 16E Instruct
Open-weights model
327,680 token context · $0.10/M input, $0.30/M output
GPT-6 Luna
API-only model
1,050,000 token context · $0.10/M input, $0.50/M output

More text models from meta-llama

Questions people ask

Can I run Llama 3.2 90B Vision locally?: No. Meta has not released the weights for this model, so it is API-only and cannot be run on your own hardware.
What does it cost and how long is the context?: It is priced at $0.35 per million input tokens and $0.40 per million output tokens, with a 32,768-token context window.
How does the 90B differ from the 11B Vision model?: Both handle image and text tasks, but the 90B is the larger, higher-accuracy option; the 11B is cheaper and faster, worth trying first if your workload is straightforward.

Captain's verdict
A capable, fairly priced vision model for teams with real multimodal workloads — just confirm the 11B can't handle the job before paying for the extra scale.

Captain writes these notes from the model's own description and model card. Prices and context sizes are the provider's at the time of writing and can change.

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How to install

How to Install Ollama and Run a Local AI (Windows, Mac, Linux)

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TEXT / LLM

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Llama 3.2 90B Vision Instruct is a text model for the Text / LLM family listed on ModelTrends.ai, a read-only catalog of open source AI image, video and text models. Compare it with other Text / LLM models, check its heat score to see how it is trending, and open it on PirateDiffusion or BitVector to try it.

More Text / LLM models llm meta-llama vision research chat

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