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Meta Unveils Llama 4 Scout and Maverick, Sets Sights on AI Supremacy

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Image credit: Dima Solomin

Introduction

Meta Platforms (NASDAQ:META) has officially launched Llama 4 Scout and Llama 4 Maverick, positioning them as its most advanced multimodal AI models to date. In a rapidly evolving AI race, these models are Meta's response to OpenAI's dominance with ChatGPT—and they're not holding back.


Key Highlights

  • Multimodal AI Capabilities:
    Llama 4 Scout and Maverick can process and generate text, video, images, and audio, making them highly adaptable across creative, analytical, and enterprise use cases.

  • Open Source Advantage:
    Both models will be open source, reflecting Meta's commitment to community-driven AI development—contrasting sharply with OpenAI and Google's closed ecosystems.

  • Preview of Llama 4 Behemoth:
    Meta teased its most powerful model yet—Llama 4 Behemoth—designed to train future models and push the frontier of what's possible in AI.

  • $65 Billion AI Investment Plan:
    Meta plans to invest $65 billion in 2025 to boost its AI infrastructure, driven by investor demand for real ROI in the generative AI space.


Meta's Competitive Position in the AI Race

Despite launching new models, internal reports revealed that Llama 4 had initially underperformed in key benchmarks like reasoning and math—areas where OpenAI's GPT-4 still leads. Additionally, Meta acknowledged that Llama 4 was lagging in natural voice conversations, an increasingly critical feature in AI-human interaction.

However, Meta's strategy is clear:

  • Infrastructure over hype: Meta is scaling aggressively with GPUs and data centers.

  • Community-led innovation: By making Llama open source, they're leaning on global talent to iterate and improve.

  • Multimodality is the future: Text-only models are out. The future is fully integrated, sensory-capable AI.


Track Financial Impact with Real-Time Data

Meta's AI investments and model rollouts could significantly impact its financial trajectory. To monitor performance and market sentiment:

  • Key Metrics (TTM) API
    Evaluate Meta's capital expenditure, R&D trends, and return on equity in the context of their $65B AI push.

  • Company Rating API
    Stay updated on how analysts and AI models rate Meta's performance in the competitive AI sector.


Conclusion

With the launch of Llama 4 Scout and Maverick, Meta has officially entered the next round of the AI arms race. The company is betting big—$65 billion big—on becoming a top-tier player in artificial general intelligence. While early benchmarks may have raised eyebrows, Meta's open source strategy and massive infrastructure plans suggest it's playing a long game.

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