Reasoning in AI models refers to their ability to solve problems that require multiple logical steps — math proofs, code debugging, strategic planning, causal analysis.
Recent advances include chain-of-thought prompting, reasoning-specialized models (o1, Claude with extended thinking), and systems that verify their own reasoning steps. However, LLM reasoning is still fundamentally different from human reasoning — it's pattern matching at scale, not symbolic logic.