Meta just released a new generation of open AI models called Llama 4, and it’s a big deal. I went through the details, and I want to explain what it actually means for you—without the hype or the tech talk.
Llama 4 is made up of three models:
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Scout – fast, efficient, runs on one good graphics card
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Maverick – strong performance, great with images, video, and text together
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Behemoth – still in training, but meant to compete with the biggest models out there (like GPT-4 and Claude)
So why should you care?
1. You can work with huge amounts of data
Llama 4 Scout can process up to 10 million tokens at once. That’s basically like reading and remembering 15,000 pages in one shot. You can upload full books, long documents, databases—even giant codebases—and it won’t choke. This is great if you’re analyzing contracts, PDFs, medical records, or research reports.
2. It understands images, video, and text—together
Unlike older models, Llama 4 is multimodal by design. That means you can ask it to look at a chart, understand a video, and answer questions based on all of it. It’s not just reading words—it’s actually seeing the full picture. This is perfect for reports, presentations, or even customer service that involves screenshots or screen recordings.
3. It’s open source and (mostly) free
You can start using Llama 4 today for free through Hugging Face or Meta’s own site. If you’re a developer or a small business, this is a huge win—no expensive API costs, and no lock-in to one company. It gives you more control and lowers the barrier to start using AI in your business.
4. Smart and fast, even for tough tasks
Llama 4 is trained on more than 30 trillion tokens (double the amount of the last version). It supports 12 languages, does well with coding, logic, image understanding, and even very long conversations. It’s competitive with GPT-4o and Gemini, but cheaper and more flexible.
5. It’s efficient
Scout and Maverick use a smart system called “Mixture of Experts.” Instead of running the whole brain at once, the model only activates the parts it needs. It’s like having a team of specialists—only the right experts join in, saving time and resources. That means faster responses and lower costs.
Final thoughts from me
If you’re running a business and want to get into AI without burning your budget, Llama 4 is something to seriously look at. Whether you’re working with long documents, need to combine visuals and text, or just want more control—this could be a game changer.
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