Meta’s Scout, Maverick, and Behemoth Are Live: Here’s Why Everyone’s Talking

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Greetings from NewsBytes!

Meta just made a quiet — but powerful — weekend move. Without the usual fanfare, it rolled out a brand-new lineup of AI models built to work seamlessly across the tools you use every day: WhatsApp, Instagram, Messenger, and even your browser.

And here’s the exciting part — you don’t have to wait. These models are already live and ready to explore. Whether you're a curious user looking to experiment or a developer ready to build, Meta just made high-performance generative AI more accessible than ever.

Let’s dive into it 👇…

Read Time: 3 Mins

🚀 The New Meta AI Lineup

Meta's new AI trio — Scout, Maverick, and Behemoth — is designed to rival the best in the game, with each model targeting a specific strength.

Scout is ultra-efficient, capable of running on a single Nvidia GPU with a groundbreaking 10 million-token context window.

Maverick handles text and image inputs across 12 languages, making it ideal for global, multimodal apps.

And while Behemoth isn't public yet, it's already outperforming GPT-4.5 and Claude 3.7 in STEM benchmarks — positioning it as one of the smartest LLMs ever built.

1. Scout – The Compact Genius

• Why it’s cool: Built for maximum efficiency, Scout runs on just a single Nvidia chip. Despite its small footprint, it punches above its weight.

• Multimodal Power: It handles text + images and is already outperforming open-source rivals like Google’s Gemma 3.

• Insane Context: With a 10M-token context window, it can process incredibly long documents or conversations without losing coherence.

• Use It On: WhatsApp, Messenger, IG DMs, your browser.

Scout is your go-to for lightweight, fast, and deep conversations — even with visual input.

2. Maverick – Built for Multilingual, Visual Apps

• Why it’s different: This model is ideal for apps that need to interpret both text and images — think of a customer support bot that can read receipts or product photos.

• Language Support: Works across 12 languages, making it perfect for global brands and cross-cultural tools.

• Multimodal Magic: Seamlessly merges language + image analysis in a way that's practical and production-ready.

If you’re building in e-commerce, travel, or support — Maverick is your model.

3. Behemoth – The Undisputed Heavyweight

• The flagship model that Scout and Maverick are distilled from.

• Performance: Outperforms GPT-4.5 and Claude 3.7 across major STEM-related benchmarks.

• Smartest in the Room: Considered among the most intelligent LLMs globally, though it hasn’t been released to the public… yet.

• Use Case: Enterprise R&D, technical reasoning, or anything that needs top-tier compute.

Behemoth isn’t here yet, but when it arrives — it could redefine AI expectations.

🔍 The Backstory

Meta originally planned to launch these earlier, but internal benchmarks caused delays (sound familiar?). To catch up with the pace of rivals, Meta reportedly took inspiration from China’s DeepSeek, especially how they trained different parts of their models to specialize — a tactic that helped R1 become one of the most efficient AIs globally.

Want to Try or Build With These Models?

✅ End users can now access Meta AI directly through:

• WhatsApp

• Instagram DMs

• Messenger

• Your browser via Meta.ai

✅ Developers & Builders: Start integrating these into your apps right here.

🧠 Why This Drop Matters

• AI is becoming ambient – It’s no longer locked to chatbots or dashboards. Meta’s release shows that AI will soon live inside every conversation, app, and workflow.

• Efficiency + Access > Size – Scout proves that AI doesn’t need massive infrastructure to be useful. It just needs to be smart and well-trained.

• We're entering the era of multimodal everything – If your AI tool doesn’t understand images, it’ll be left behind.

📌 TL;DR

• Meta just dropped 3 new models: Scout (fast), Maverick (visual + multilingual), and Behemoth (ultra-smart).

• You can already use Scout & Maverick in Meta apps — and build with them too.

• Behemoth isn’t live yet, but it’s expected to outperform today’s biggest names.

👀 What’s Next?
We’ll be keeping a close eye on how these models get adopted across industries — and if Meta decides to open-source any of them. If you test them out, hit reply and let us know what you think!

Congratulations! You’re among the top 1% who have made it here!

Research shows companies using AI see a 14.5% sales increase and 12.2% lower costs.

Stay tuned for more AI news & insights for your business.

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