Llama 4 Just Dropped — 10M Tokens?! What That REALLY Means 🤔

Meta just dropped LLAMA 4 — and it’s a game-changer.
In this video, I break down the key highlights:

• LLAMA 4 Scout: 17B parameters, insane 10M token context
• LLAMA 4 Maverick: 400B parameters, native multimodal, 1M context
• LLAMA 4 Behemoth: 2T parameters (in training), beats GPT-4.5 & more

Learn about the game-changing Mixture of Experts architecture that makes these models more efficient and affordable. I’ll show you how to access these models, their impressive benchmark results, and why LLAMA 4 Scout’s 10M context window opens up incredible new possibilities for document processing, code analysis, and personalization. Plus, get the latest on Grok integration and competitive pricing that makes these frontier models accessible to developers and businesses.

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