Meta Launches Llama 4 AI Models to Challenge OpenAI and DeepSeek

Three Distinct Models, One Vision

Meta has officially launched the Llama 4 series, its most powerful line of artificial intelligence models yet. The trio—Llama 4 Scout, Llama 4 Maverick, and Llama 4 Behemoth—marks a bold leap in the AI race, offering groundbreaking multimodal functionality and model efficiency.

These models are engineered to handle not just text, but also image, video, and audio inputs, showcasing a sophisticated understanding of diverse data formats. This positions Meta as a serious contender in the high-stakes AI arms race.

Llama 4 Scout & Maverick: Streamlined Powerhouses

Llama 4 Scout is the more lightweight model, using 17 billion active parameters with 16 experts. It’s designed for agility and adaptability, making it ideal for resource-efficient environments.

On the other hand, Llama 4 Maverick scales things up, maintaining 17 billion active parameters while expanding to 128 experts. It’s built on a mixture-of-experts (MoE) architecture—an advanced AI technique that allows for smarter distribution of computational tasks, improving both speed and performance.

Maverick is positioned as Meta’s direct answer to high-performing models like GPT-4o and Gemini 2.0 Flash, offering elite performance in real-world applications ranging from education to enterprise solutions.

Llama 4 Behemoth: The Giant Behind the Scenes

The true powerhouse of the family, Llama 4 Behemoth, is Meta’s teacher model—designed not for deployment, but to train and guide other models within the Llama 4 ecosystem. It packs a staggering 288 billion active parameters and nearly two trillion total parameters, using 16 experts for massive processing capabilities.

Behemoth is built to exceed the performance of current leading AI models in scientific, mathematical, and technical tasks, making it a key asset in pushing AI boundaries further than ever before.

Industry Impact: A Bold Play in the AI Race

The release of the Llama 4 models is more than just a technical upgrade—it’s a strategic maneuver. Meta’s focus on open-weight models promotes transparency, customizability, and community-driven innovation, differentiating its approach from more closed systems.

As the global AI race heats up, these models are expected to fuel rapid innovation in various sectors—from healthcare and finance to content creation and robotics.

Meta’s Llama 4 series represents a significant leap toward next-gen AI. With scalable architecture, multimodal capabilities, and open-weight availability, Llama 4 sets a new standard for what AI can achieve. Whether you’re a developer, a researcher, or a business leader, the future of AI just got a whole lot more exciting.