Meta released Llama 4, the next version of their open-weight language models. This post breaks down what’s new.

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Meta released Llama 4, the latest version of their language models, featuring native multimodality, longer context windows, and a more efficient Mixture of Experts (MoE) architecture. Key features include support for up to 10 million tokens in context, the ability to handle both text and image inputs, and increased training and inference efficiency. The model family includes Llama 4 Scout, Maverick, and the upcoming Behemoth, designed for various specialized tasks.

What’s New in Llama 4 – A Practical Overview

<p>“Llama 4 Scout, still requires at least an Nvidia H100, so they’re not viable for most local or consumer-grade GPU setups”</p>
