Meta is redefining the boundaries of artificial intelligence with the launch of the LLaMA 4 herd — a groundbreaking family of natively multimodal models that bring both efficiency and intelligence to the forefront.
At the heart of this announcement are three powerful new models:
🔹 LLaMA 4 Scout – A 17 billion active parameter model featuring 16 experts. What makes Scout exceptional is its ability to deliver top-tier performance while fitting on a single NVIDIA H100 GPU — making high-performance AI more accessible than ever. With a 10M token context window, it outperforms well-known peers like Gemma 3, Gemini 2.0 Flash-Lite, and Mistral 3.1 on numerous benchmarks.
🔹 LLaMA 4 Maverick – Designed with 128 experts, Maverick pushes the bar even further. Despite its efficiency, it outpaces GPT-4o and Gemini 2.0 Flash in a broad range of reasoning and coding tasks. What’s more impressive is that it achieves performance comparable to DeepSeek v3 with less than half the parameters. The experimental chat version of Maverick has already scored ELO 1417 on LMArena, showcasing its real-world utility.
🔹 LLaMA 4 Behemoth – Still training, but already making waves, Behemoth is Meta’s most powerful model to date. With 288 billion parameters, it’s built with 16 experts and delivers state-of-the-art performance across STEM benchmarks, outperforming GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro. It’s a true testament to what large-scale AI can achieve when engineered for purpose.
These models aren’t just technically impressive—they’re practical, scalable, and available. You can now download Scout and Maverick on llama.com and Hugging Face, or try them integrated into Meta AI experiences across WhatsApp, Messenger, Instagram Direct, and the web.
Meta’s LLaMA 4 series is more than a model release—it’s a signal that the future of open, multimodal, efficient AI is not years away, it’s happening now. Whether you’re a developer, researcher, or business leader, these models open new possibilities for real-world AI applications.
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