How OpenAI’s o3, Grok 3, DeepSeek R1, Gemini 2.0, and Claude 3.7 Differ in Their Reasoning Approaches

Large language models are evolving from text prediction systems into advanced reasoning engines. New techniques like inference-time compute scaling, reinforcement learning, and supervised fine-tuning enable AI models to tackle complex challenges. Leading models use different combinations of these approaches, excelling at tasks like solving math problems, writing code, and making data-driven decisions. Each model has unique strengths, opening up new possibilities for AI applications.