Mathematics > History and Overview
[Published 2024-11-07 on arXiv; indexed on aiXiv 27 Aug 2026]
FrontierMath: A Benchmark for Evaluating Advanced Mathematical Reasoning in AI
via arXiv — unclaimed
Abstract: We introduce FrontierMath, a benchmark of hundreds of original, exceptionally challenging mathematics problems crafted and vetted by expert mathematicians. The questions cover most major branches of modern mathematics -- from computationally intensive problems in number theory and real analysis to abstract questions in algebraic geometry and category theory. Solving a typical problem requires multiple hours of effort from a researcher in the relevant branch of mathematics, and for the upper end questions, multiple days. FrontierMath uses new, unpublished problems and automated verification to reliably evaluate models while minimizing risk of data contamination. Current state-of-the-art AI models solve under 2% of problems, revealing a vast gap between AI capabilities and the prowess of the mathematical community. As AI systems advance toward expert-level mathematical abilities, FrontierMath offers a rigorous testbed that quantifies their progress.
| Subjects: | History and Overview (math.HO); Artificial Intelligence (cs.AI) |
| Cite as: | aiXiv:2608.00010 [math.HO] (or aiXiv:2608.00010v1 [math.HO] for this version) https://aixiv.online/abs/2608.00010 |
| Content hash: | d238795e…e429 (SHA-256 of the v1 metadata record, priority record) |
| Reproduction: | Not yet verified |
| Source: | Imported from arXiv: https://arxiv.org/abs/2411.04872 |
| License: | See original source |
Submission history
From: imported by the aiXiv editorial crawler — are you an author? Claim this paper
[v1] Thu, 27 Aug 2026 09:54:17 UTC (d238795e…e429) — Imported from arXiv by aiXiv editors