Meta Launches Llama 4 AI Models: Meet Scout, Maverick, and the Beast Called Behemoth

Meta just pulled off a big one in the AI race. On April 6, they officially launched the Llama 4 series, introducing a trio of new AI models: ​Llama 4 Scout​, ​Llama 4 Maverick​, and the not-so-subtle ​Llama 4 Behemoth​. And yes, the names are just as bold as the tech behind them.

But here’s what really makes this release different: Meta has embraced a cutting-edge "Mixture of Experts" (MoE) architecture — a move that could seriously shift how we think about model efficiency.

Let’s break it down.

What Is Llama 4—and What’s New?

Meta’s Llama 4 models are not just larger and faster—they’re smarter, more efficient, and better trained. They’ve been fed with tons of unlabelled text, images, and even videos to boost their ​multimodal understanding​—a big step for future-facing AI.

Out now on ​Hugging Face​:

• Llama 4 Scout (runs on a single NVIDIA H100 GPU)
• Llama 4 Maverick (requires an H100 DGX AI platform or something equally powerful)
• Behemoth is still training—yes, the big guy’s not done cooking yet.

MoE Architecture: The Brains Behind the Brawn

Here’s where things get spicy. Meta’s Llama 4 is the company’s first line of models to adopt the “Mixture of Experts” approach.

Think of it like having a room full of mini-specialist AIs, and only the right few are called in to answer each question.

Why does that matter? Because it:

• Speeds up training and response
• Uses fewer active parameters per query = more efficiency
• Handles complex tasks with targeted “expert” knowledge

​By the numbers​:

• ​Maverick​: 400B total parameters, but only 17B active across 128 expert models
• ​Scout​: 109B total, 17B active with 16 experts

This dynamic routing gives them serious punch without burning through GPU cycles.

So… Are These Reasoning Models?

Not quite. Unlike OpenAI’s ​GPT-4o​** or o3-mini​, which use ​fact-checked reasoning processes**​, Llama 4 models are still in the *"non-reasoning"* camp. That means:

• Faster answers
• Slightly less reliable when it comes to fact-heavy queries

But don't count them out—there's plenty of power packed in, especially for creative tasks.

Performance: Llama 4 vs the Big Names

Meta’s internal benchmarks paint an exciting picture:

• Maverick shines as a general-purpose AI assistant, handling:
• Creative writing
• Code generation
• Translation
• Long-context summarization
• Image-based tasks

And according to Meta, it ​outperforms​:

• GPT-4o (OpenAI)
• Gemini 2.0 (Google)

But it still trails behind the latest giants like:

• Gemini 2.5 Pro
• Claude 3.7 Sonnet
• GPT-4.5

Meanwhile, Scout is ideal for:

• Document summarization
• Codebase reasoning
• Ultra-long-context tasks (up to ​10 million tokens​, or the equivalent of several million words)

Behemoth: The 2-Trillion-Parameter Monster

And then there’s ​Behemoth​, the heavyweight model still in training. Here’s what we know:

• 2 trillion total parameters
• 288B active parameters across 16 experts
• Excels at math, STEM tasks, and deep reasoning

In internal STEM benchmarks, it reportedly beats:

• GPT-4.5
• Claude 3.7
• Gemini 2.0 Pro

…but it still falls short of the current king: ​Gemini 2.5 Pro​.

What This Means for AI Users and Developers

Whether you're an ​AI developer​, ​researcher​, or just an everyday ​ChatGPT power user​, Llama 4 brings some exciting implications:

• Scout makes local inference affordable (yes, even on a single GPU)
• Maverick offers an open alternative to closed-source giants like GPT-4
• Behemoth could challenge the frontier of science & education AI

And since Scout and Maverick are already on Hugging Face, you can start tinkering right now.

XXAI: Your Gateway to the Future of Llama 4

Now, if you’re eager to get hands-on with Meta’s Llama 4 models and see how they stack up in real-world applications, XXAI is your go-to platform. Not only will XXAI soon offer the Llama 4 series (including Scout and Maverick), but it also provides seamless access to top-tier AI models like GPT-4 and Claude 3.7 at an affordable price.

Why should you choose ​XXAI​?

• ​Affordable and Accessible​: With plans starting as low as ​\$9.9 per month​, you can easily dive into the latest AI technologies without breaking the bank.
• ​Seamless Integration​: Whether you’re working on writing, coding, or research, XXAI’s integration tools make switching between models like GPT-4 and Llama 4 a breeze.
• ​Cutting-Edge Performance​: With continuous updates and access to the ​Llama 4 models​, XXAI ensures you're always at the forefront of AI advancements.

If you’re looking for a way to access ​Meta’s Llama 4​, XXAI is the perfect platform to explore and experiment with these groundbreaking models.

Final Thoughts

Meta is clearly pushing hard to catch up—and maybe even leap ahead—in the AI model race. By going all in on ​Mixture of Experts​, Llama 4 isn't just another big model—it's a smarter, leaner, more specialized beast.

Whether that’s enough to dethrone the current AI royalty remains to be seen—but one thing’s for sure: ​Llama 4 is no sheep​.

And with XXAI ready to give you the latest ​Llama 4 models​, you’ll be in the driver’s seat, experiencing AI innovation like never before.