How DeepSeek R1 Was Trained: A Cost-Efficient Revolution in AI

Open-Source, Affordable, and Matching OpenAI’s Best

DeepSeek R1 isn’t just another AI model, it’s a paradigm shift in how advanced reasoning systems are built. By combining radical training methods with frugal innovation, it rivals OpenAI’s flagship o1 at 3% of the cost .

Here’s a breakdown of its training process, cost advantages, and why it’s disrupting Silicon Valley.

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1. Architecture: A Smarter Mixture of Experts

DeepSeek R1 uses a Mixture of Experts (MoE) design with 671 billion parameters — think of it as a team of specialized “mini-brains.” For any task, only 37 billion parameters activate (like calling in the right experts), drastically cutting computational costs while maintaining top-tier performance in math, coding, and logic.