What is Llama 3.2 Vision?
Llama 3.2 Vision is Meta's multimodal model released in September 2024, adding image understanding capabilities to the Llama 3 family. Available in 11B and 90B parameter sizes, it was Meta's first openly released vision model — capable of answering questions about images, analyzing charts, understanding diagrams, and processing visual content alongside text. As of 2026, Llama 4 Maverick and Scout have succeeded it with significantly improved multimodal capabilities, but Llama 3.2 Vision remains widely used in lightweight deployments.
Llama 3.2 Vision Capabilities
The 11B variant runs efficiently on consumer hardware (a single GPU or even CPU with quantization), making it popular for local deployments. The 90B variant delivers stronger accuracy but requires more substantial hardware. Both models handle image captioning, visual question answering, chart interpretation, and document understanding. They support 128,000 token context with up to 8 images per request in the API.
Llama 3.2 Vision vs Llama 4
Llama 4 Maverick significantly outperforms Llama 3.2 Vision on all vision benchmarks. If you're starting a new project requiring vision capabilities, Llama 4 Maverick or Scout are the recommended models. Llama 3.2 Vision remains valuable for: applications already built on it, deployments on hardware too limited for Llama 4, and use cases where its lighter weight is a genuine advantage.
Frequently Asked Questions
Can Llama 3.2 Vision run locally?
Yes. The 11B model runs on a single RTX 3090 or 4090 GPU with reasonable performance. With INT4 quantization, it can run on consumer hardware. Use llama.cpp or Ollama for easy local deployment.
Is Llama 3.2 Vision free to use commercially?
Yes, under Meta's Llama 3.2 license, which permits commercial use for businesses with fewer than 700 million monthly active users.