reasoning

Reasoning models use chain-of-thought processing to solve complex logic, coding, and mathematical problems with human-like deliberation.

Modern reasoning models (like OpenAI o1) shift from instant pattern matching to active computation during inference. By utilizing a chain-of-thought process, these systems break down high-level tasks into discrete logical steps, allowing them to self-correct and refine strategies before delivering an output. This architecture excels in specialized domains: generating complex C++ code, solving PhD-level physics equations, and identifying nuanced legal contradictions. In benchmark testing, these models have reached the 89th percentile on competitive programming platforms like Codeforces and achieved qualifying scores for the USA Mathematical Olympiad (AIME).

https://openai.com/o1