LLaMA 4 is Here, and Its About to Rewrite AI History4 min readJust now--Source: Meta blogWhen innovation hits, it doesnt knock politely.It kicks the door off its hinges.Recently, Meta didnt just make an announcement, they detonated a bomb in the world of AI.LLaMA 4 has arrived, and with it comes something that was once unthinkable:A 10 million token context window.Thats not evolution.Thats revolution.Welcome to the Near-Infinite Context EraIn a bold move thats set the AI world ablaze, Meta has unleashed not one, not two, but three titanic models, each built for a future where boundaries are a thing of the past:LLaMA 4 Scout (smallest, if you can call 109B parameters small)LLaMA 4 Maverick (mid-tier powerhouse)LLaMA 4 Behemoth (a literal 2 trillion parameter giant still baking in the oven)But heres what really cracked open our collective jaws:10 million token context window for Scout.Yes, you read that right. Ten. Million. Tokens.Compared to the previous frontier (2M tokens from Gemini), this feels like swapping a garden hose for Niagara Falls.Meta is calling it near-infinite context.For anyone building AI agents, researching long documents, or dreaming of truly intelligent personal assistants, the age of forgetting is officially ending.Multimodal, Multi-Expert, and MonumentalAll three LLaMA 4 models are natively multimodal, meaning they can handle text, images, video, and other modalities effortlessly.Mixture of Experts Architecture: how LLaMA 4 routes inputs through specialized and shared experts for smarter, efficient processing.Even more fascinating: Meta went full throttle on Mixture of Experts (MoE architecture.Think of it like a team of specialists