GPT‑5.2 Pro and GPT‑5.2 Thinking are our strongest models yet for scientific and mathematical work.

Strong mathematical reasoning is a foundation for reliability in scientific and technical work. It enables models to follow multi-step logic, keep quantities consistent, and avoid subtle errors that can compound in real analyses—from simulations and statistics to forecasting and modeling. Improvements on benchmarks like FrontierMath reflect not a narrow skill, but stronger general reasoning and abstraction, capabilities that carry directly into scientific workflows such as coding, data analysis, and experimental design.

These capabilities are also closely tied to progress toward general intelligence. A system that can reliably reason through abstraction, maintain consistency across long chains of thought, and generalize across domains is exhibiting traits that are foundational to AGI—not task-specific tricks, but broad, transferable reasoning skills that matter across science, engineering, and real-world decision-making.

We believe GPT‑5.2 Pro and GPT‑5.2 Thinking are the world’s best models for assisting and accelerating scientists. On GPQA Diamond, a graduate-level Google-proof Q&A benchmark, GPT‑5.2 Pro achieves 93.2%, followed closely by GPT‑5.2 Thinking at 92.4%.