Llama 3.2 90B VisionvsLlama 3 8B

Llama 3.2 90B Vision, developed by Meta AI, is a multimodal open-source model with 90 billion parameters and a 128K token context window. The model processes both text and images, enabling visual question answering, document understanding, chart analysis, and image-grounded reasoning tasks. It represents Meta's first open-source model with vision capabilities, extending the Llama family beyond text-only processing. The vision encoder integrates seamlessly with the language model, producing coherent responses that reference visual elements accurately. Free and open-source, it can be deployed on enterprise GPU infrastructure for privacy-sensitive visual AI applications. Llama 3.2 90B Vision ranks #11 on the Chatbot Arena leaderboard, making it one of the highest-ranked open-source multimodal models available and a strong alternative to proprietary vision-language systems.

Llama 3 8B, developed by Meta AI, is a compact open-source model with 8 billion parameters and an 8K token context window. The model delivers strong performance for its size on general reasoning, instruction following, and text generation tasks. Trained on over 15 trillion tokens, Llama 3 8B benefits from a data-rich training regimen that maximizes capability within its compact footprint. It runs efficiently on a single consumer GPU, making it ideal for edge deployment, mobile applications, and on-device AI where network latency or data privacy concerns preclude cloud-based solutions. As a fully open-source model under Meta's permissive license, it supports commercial use and fine-tuning at zero cost. Llama 3 8B has become one of the most fine-tuned base models in the open-source ecosystem, powering thousands of specialized applications.