As artificial intelligence continues to shape our daily experiences, making advanced models widely accessible has become essential to ensuring broader participation in building the future of personalized AI.
Meta recently unveiled the latest advancements in its Llama ecosystem with Scout and Maverick, two open-weight multimodal models engineered for efficiency and enhanced context understanding.
Additionally, Meta is previewing Llama 4 Behemoth, the most capable model in this series, developed to support and refine future innovations.
Advancing Performance and Accessibility
The Llama 4 models represent a significant step forward for AI development. Llama 4 Scout features a 17-billion active parameter structure with 16 experts, optimized to run efficiently on a single H100 GPU with Int4 quantization.
Llama 4 Maverick, built with the same number of active parameters but incorporating 128 experts, fits on a single H100 host.
These models strike a careful balance between performance and accessibility, enabling a broader range of developers to integrate sophisticated AI capabilities into their applications.
Pushing the Boundaries with Behemoth
To further strengthen its AI capabilities, Meta has developed Llama 4 Behemoth, a teacher model designed to outperform leading competitors such as GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro on benchmarks like MATH-500 and GPQA Diamond.
While Llama 4 Behemoth remains in training and is not yet available for release, Meta plans to share additional insights into its development process in the coming months.
Open AI Development
Meta remains committed to open AI development, believing that broad access to these technologies benefits both developers and the wider community.
Llama 4 Scout and Maverick are now available for download on llama.com and Hugging Face, with further distribution through partners expected in the coming days.
Meta AI, powered by Llama 4, is also accessible on WhatsApp, Messenger, Instagram Direct, and the Meta.AI website.
Future Direction
The Llama 4 series is designed to support AI systems that can engage in natural conversations, tackle unfamiliar challenges, and assist in a wide range of applications.
Meta continues to explore new AI capabilities and will share further developments at LlamaCon on April 29.
For developers, enterprises, and AI enthusiasts, Llama 4 Scout and Llama 4 Maverick provide a robust foundation for integrating next-generation AI into products and workflows.
Meta will also release additional details on the models' research and design process, supporting ongoing innovation in AI-driven experiences.
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