Llama 3.2 90B Instruct

Llama 3.2 90B Vision Instruct

Quick answer: Llama 3.2 90B Vision Instruct is Meta's September 2024 open-weight multimodal model, scoring 68.0% on MATH and 86.0% on MMLU. With a 128K context window and vision capability, it was the first large open-weight model to support image understanding at frontier text-model scale.

At a Glance

Where Llama 3.2 90B leads

• First large open-weight multimodal model at frontier scale
• 86.0% MMLU — strong general knowledge
• 128K context window
• Vision capability: understands images alongside text
• Llama 3.2 Community License (free for most commercial uses)

Where it lags

• 68.0% MATH — moderate mathematics
• December 2023 knowledge cutoff — earlier than Llama 3.3 70B
• Superseded by Llama 4 Maverick for multimodal tasks (1M context, better benchmarks)
• 90B parameters — heavier than Llama 3.3 70B for text-only tasks

Best for: Open-weight vision-language tasks where Llama 4 Maverick is too recent for existing integrations; image analysis pipelines on Llama 3.2 stack.

What Llama 3.2 90B Vision Instruct Is

Llama 3.2 90B Vision Instruct (released September 25, 2024) was Meta's first large multimodal model — adding image understanding to the flagship Llama scale. Alongside the text-only Llama 3.2 3B and 1B models, it marked Meta's push into multimodal open-weight AI.

At 90B parameters, it provides text and vision capability at frontier scale — competitive with GPT-4V and Claude's vision capabilities at launch. The model handles image captioning, visual Q&A, document understanding, and chart analysis alongside standard text tasks.

For new multimodal open-weight deployments, Llama 4 Maverick (MoE, 1M context, better benchmarks) is the recommended choice. Llama 3.2 90B remains relevant for teams with existing 3.2 integrations.

Specifications

Pricing

Open weights under Llama 3.2 Community License. Available via Meta AI API and third-party providers.

Public Benchmark Scores

Llama 3.2 90B vs Alternatives

Llama 4 Maverick: better benchmarks, 1M context, multimodal — preferred for new deployments. Llama 3.2 90B for existing integrations or when Llama 3.2 stack is required.

Related Models & Benchmarks

• Compare: Llama 4 Maverick · Llama 3.3 70B Instruct · Gemma 3 27B
• Benchmarks: MATH · MMLU

Frequently Asked Questions

Specs from Meta's Llama 3.2 announcement (September 2024) and Benchgen evaluations. Last updated 2026-07-24.