Meta Launches the Llama 4 Series: Scout, Maverick, and the Upcoming Behemoth

Meta Platforms has significantly advanced its AI offerings with the release of its latest models under the Llama 4 series. Designed for diverse AI tasks—from efficient inference to high-performance coding and reasoning—the series includes Llama 4 Scout, Llama 4 Maverick, and the forthcoming Llama 4 Behemoth. These models mark Meta's continued push toward building accessible yet powerful AI tools for developers and enterprises.

Llama 4 Scout: Compact, Multimodal, and Efficient

Llama 4 Scout is engineered as a compact, resource-efficient model capable of running on a single Nvidia H100 GPU. Key features include:

• Multimodal capabilities

• 10-million-token context window

• Mixture of Experts (MoE) architecture with 17 billion parameters across 16 experts

This architecture allows Scout to outperform other lightweight models like Google’s Gemma 3 and Mistral 3.1 in multiple benchmarks. It is ideal for developers looking to deploy AI in constrained computing environments without compromising performance.

Llama 4 Maverick: High-Performance with Leaner Architecture

Llama 4 Maverick is a more advanced model designed for complex tasks such as coding and logical reasoning. Highlights include:

• Comparable performance to OpenAI’s GPT-4o and DeepSeek-V3

• Optimized use of fewer active parameters

• Excellent performance on coding and STEM-related benchmarks

Maverick reflects Meta's focus on computational efficiency without trading off the performance typically associated with larger models.

Llama 4 Behemoth: The Future Titan

Currently in development, Llama 4 Behemoth is Meta’s ambitious high-end model. It boasts:

• 288 billion active parameters

• 2 trillion total parameters

Preliminary results suggest Behemoth may outperform leading models like GPT-4.5 and Claude Sonnet 3.7, especially in STEM-related evaluations. It represents Meta's vision of next-gen AI for enterprise-grade and research-intensive applications.

Integration Across Meta's Ecosystem

Both Scout and Maverick have been integrated into Meta’s AI assistant across platforms including:

• WhatsApp

• Messenger

• Instagram

• Meta.ai (web)

This wide deployment ensures that users experience the benefits of the Llama 4 models in real-time, everyday interactions.

Accessibility and Open-Source Licensing

Meta has made the Llama 4 models available through:

• Meta's official website

• Hugging Face

Although marketed as open-source, Meta’s license includes restrictions on commercial use for companies with more than 700 million users. This has led to criticism from the Open Source Initiative, raising questions about the true openness of the models.