Meta is revamping its Llama series with notable changes including a shift to MoE architecture and native multimodality as earlier models (Scout and Maverick) are retired. Internal overhauls and developmental delays have led to the preview of Llama 4 Behemoth, setting the stage for a refreshed launch strategy.
Supporting over 200 languages, these models are compatible with platforms like WhatsApp, Messenger, and Instagram Direct.
Meta introduced Llama 4, its newest AI model suite powering Meta AI on the web, WhatsApp, Messenger, and Instagram Direct. Both models—including the compact Llama 4 Scout—are now available for download from Meta and Hugging Face.
Meta AI’s Llama 4 release features Scout and Maverick—Maverick is second on LM Arena behind Gemini 2.5 Pro. Try them via OpenRouter. Scout claims a 10M token window, though current limits are lower. System prompts reveal nuanced behavioral guidelines.
While DeepSeek R1 and OpenAI o1 edge out Behemoth on a couple metrics, Llama 4 Behemoth remains highly competitive.
Llama 4 models Maverick and Scout, released by Meta, are shaking up the leaderboard. Available via OpenRouter (chat/API), they feature varying token limits, with providers like Groq, Fireworks, and Together in play. These giant MoE models aren’t built for consumer GPUs but may run well on Macs.
Meta released Llama 4 AI models—including Scout, Maverick, and Behemoth—trained on vast unlabeled text, image, and video data to provide broad, multi-modal capabilities.
Meta's Llama series now uses MoE architecture with native multimodality. Llama 4 Scout and Maverick are retired, while Llama 4 Behemoth is previewed—delivering top STEM performance and outpacing leading LLMs.
Meta’s next language model, Llama 4, is reportedly nearing release after repeated delays and significant changes to its development process. The article Meta reportedly prepares to launch Llama 4 after delays and internal overhaul appeared first on THE DECODER.
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