🦙 Meta Unleashes Llama 4 AI Models: Open-Source AI Just Leveled Up

NewBits Media
Apr 13
2 min read

Meta has officially entered the next chapter of open-source AI with the launch of its Meta Llama 4 AI Models — introducing Scout, Maverick, and previewing the monster Behemoth model. With multimodal capabilities, record-setting context windows, and a cost-efficient Mixture-of-Experts (MoE) architecture, these new models are designed to compete with — and beat — the best in the game.

🚨 What's New in Meta Llama 4 AI Models

🧠 Scout (109B Parameters)

10M token context window
Runs on a single H100 GPU
Outperforms Gemma 3 and Mistral 3
Highly efficient for its size — a potential new standard for compact LLMs

🚀 Maverick (400B Parameters)

1M token context window
Beats GPT-4o and Gemini 2.0 Flash in benchmarks
Designed for cost-efficient enterprise-scale AI
Open-weight and ready to run

🐘 Behemoth (2T Parameters — Still in Training)

Meta’s experimental teacher model
Said to outperform GPT-4.5, Claude 3.7, and Gemini 2.0 Pro
Uses MoE to keep inference scalable despite its size

⚙️ The MoE Advantage in Meta Llama 4 AI Models

All Meta Llama 4 AI Models use a Mixture-of-Experts (MoE) architecture. This means only specific parts of the model activate for each token, significantly reducing compute needs and inference costs — perfect for high-performance workloads without massive infrastructure overhead.

💥 Why It’s Important

After challengers like DeepSeek R1 and Mistral disrupted the open-source space, Meta needed a big win — and this is it. With:

Massive context windows
Multimodal support
State-of-the-art benchmark performance
Immediate availability via download and Meta AI in WhatsApp, Messenger, and Instagram

…it’s clear Meta is serious about reclaiming its leadership in the open LLM race.

🤔 But Here’s the Real Question…

Do these models feel better to use? Benchmarks are one thing — real-world experience is another. Usability, creativity, memory handling, and “vibe” still matter a lot. That’s what will determine whether Scout and Maverick are truly next-gen — or just numbers on a chart.

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