With Llama 4 Scout, Maverick, and Behemoth, Meta enters the AI race at full throttle—claiming benchmark wins over GPT-4o and Gemini 2.0 while embracing a cutting-edge mixture-of-experts model.
April 6, 2025: Everything You Need to Know About the Game-Changing Open-Source AI
Meta has officially launched the next generation of its open-source AI models: Llama 4. In an Instagram video, CEO Mark Zuckerberg announced the rollout of Llama 4 Scout and Llama 4 Maverick, alongside the upcoming Llama 4 Behemoth, signaling Meta’s most ambitious leap yet in the generative AI race.
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“Our goal is to build the world’s leading AI, open source it, and make it universally accessible,” Zuckerberg said. “With Llama 4, we’re starting to see that happen.”
🔍 What’s New in Llama 4?
This release marks Meta’s first foray into mixture-of-experts (MoE) architecture. Unlike traditional models, MoE activates only the relevant “expert” modules during a task—like physics, poetry, coding, or biology—allowing greater efficiency and scalability.
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🧠 Llama 4 Models Explained
🔹 Llama 4 Scout
- 17B parameters
- 16 expert modules
- 10M token context window
- Built for single-GPU operation, ideal for developers and researchers
- Designed to rival lightweight models like Google’s Gemma 3
🔹 Llama 4 Maverick
- 17B parameters
- 128 experts
- Meta’s go-to general-purpose assistant model
- Excels at reasoning, chat, code generation, image analysis, and multilingual tasks
- Claimed to outperform:
- OpenAI’s GPT-4o
- Google’s Gemini 2.0 Flash
- DeepSeek v3.1 in logic and coding tests
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🚀 What’s Coming Next?
⚡ Llama 4 Behemoth
- Still in development
- Expected to feature:
- 288B active parameters
- ~2 trillion total parameters
- 16 expert modules
- Meta says it outperforms GPT-4.5, Claude Sonnet 3.7, and Gemini 2.0 Pro in STEM benchmarks
🧩 Llama 4 Reasoning
- A specialized model focused on analytical and complex problem-solving
- Details expected soon
🌐 Impact and Ambitions
Meta’s AI tools are now integrated across WhatsApp, Messenger, Instagram, and the web, powered by Llama 4. Downloads of the Llama family surpassed 1 billion in early 2025, up from 650 million in December 2024—highlighting global momentum.
Zuckerberg has previously announced that Meta plans to spend $60–$65 billion in 2025 on AI infrastructure, including servers and data centers to fuel Llama’s rapid scale.
“We believe the most advanced AI systems must be capable of taking generalized actions, engaging in natural conversations, and tackling problems they’ve never encountered before,” Meta said in its blog.
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