Meta's New AI Models Simply Explained

Meta's New AI Models: Llama 4 Explained

On April 5, 2025, Meta introduced three new AI models: Llama 4 Scout, Maverick, and Behemoth. Let's take a quick look at what each of them can do.

Explore Lexicon Labs Books

Discover current releases, posters, and learning resources at http://lexiconlabs.store.

Conversion Picks

If this AI topic is useful, continue here:

Scout: Efficient and Capable

Scout has 17 billion parameters and runs on a single NVIDIA H100 GPU. It has a large context window of 10 million tokens. This helps it handle long documents, summarize data, and process complex code.

It beats other models like Gemma 3, Gemini 2.0 Flashlight, and Mistral 3.1 in many tasks.

Maverick: Versatile and Strong

Maverick also has 17 billion parameters but uses 128 experts. It can understand both text and images together. It does better than GPT-4o and Gemini 2.0 in coding, languages, and long text tasks. It uses a method called Mixture of Experts to save computing power.

Behemoth: The Next Big Thing

Behemoth is still in training. It has 288 billion active parameters and 2 trillion total. Meta says it outperforms GPT-4.5 and others in math and science tasks. It might help train smaller models in the future.

Multimodal Features

All three models can understand text, images, and videos together. They use early fusion to combine these inputs. This can help in healthcare, content creation, and more.

Meta's New AI Models Simply Explained image 1

Get your copy today!

Open Source Questions

Meta released these models as “open,” but there are limits. Big companies need permission to use them. Some people say this means the models are not truly open source.

RAG and Context Windows

Scout’s long context window may reduce the need for Retrieval-Augmented Generation (RAG). But RAG can still help when new or specific info is needed.

Key Points

Scout is efficient with a 10 million token context window.
Maverick is powerful and handles both text and images well.
Behemoth is huge and still in development.
All models use multimodal input and a Mixture of Experts setup.
There are questions about how “open” these models really are.

Sources:

Check our posts & links below for details on other exciting titles. Sign up to the Lexicon Labs Newsletter and download a FREE EBOOK about the life and art of the great painter Vincent van Gogh!

Why This Matters

Meta's New AI Models Simply Explained fits into a larger trend that affects how technology, markets, and society evolve. For readers and builders, the key is not only understanding the headline but tracking second-order effects: adoption speed, cost curves, policy response, and long-term capability shifts.

As this topic develops, focus on evidence quality, measurable outcomes, and practical implications. That approach improves decision-making and helps separate durable change from short-cycle hype.

Stay Connected

Join our TikTok community: @lexiconlabs

Watch on YouTube: @LexiconLabs

Learn More About Lexicon Labs and sign up for the Lexicon Labs Newsletter to receive updates on book releases, promotions, and giveaways.

Lexicon Labs