AI models capable of multi-step logical thinking, math solving, and scientific problem-solving.
AI reasoning refers to a model's ability to solve problems that require multiple sequential steps of logic — beyond pattern matching. Modern reasoning models like OpenAI's o1/o3, GPT-5 (leaked), and Claude 3.7 use chain-of-thought prompting and test-time compute scaling to 'think' before responding. These models generate internal reasoning chains before committing to an answer, dramatically improving performance on math, coding, science, and multi-constraint planning tasks. GPQA Diamond (graduate-level STEM) and AIME (math olympiad) are key reasoning benchmarks. Long-chain reasoning is expected to be GPT-5's primary architectural innovation.
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