Meta Launches Llama 4 AI Models with MoE Architecture and Multimodal Capabilities
Meta releases Llama 4 AI models with advanced multimodal features and expert architecture, rivaling GPT-4.
Matilda
Meta Launches Llama 4 AI Models with MoE Architecture and Multimodal Capabilities
Mark Zuckerberg’s vision for a hands-free digital future just took a huge leap forward. Meta has officially launched its new flagship AI model family, Llama 4, which includes Scout, Maverick, and the upcoming Behemoth. Released on a quiet Saturday, this rollout feels like Meta’s most strategic response yet to the growing pressure from rivals like OpenAI, Google, and even Chinese labs like DeepSeek. Image:Google Unlike previous versions, Llama 4 is Meta’s first venture into Mixture of Experts (MoE) architecture—arguably the most efficient way to scale AI capabilities while keeping computational costs under control. These models are designed for everything from casual assistant tasks to high-performance STEM problem-solving. What caught my eye is how Meta openly acknowledges that Scout and Maverick are built on visual, video, and textual data training—this means they’re multimodal out of the gate. However, full multimodal features are still restricted to U.S. English users, which might fee…
