Humanity's Last Exam
In short
Humanity's Last Exam (HLE) is an AI benchmark of 2,500 very hard questions written by subject experts across dozens of fields. It was built in 2025 to be tougher than older tests that top AI models had already mastered.
- Also called
- HLE, Humanity's Last Exam benchmark
- Topic
- Testing and benchmarks
- Level
- Beginner
- First described
- Created by the Center for AI Safety and Scale AI, led by Long Phan, Alice Gatti, Ziwen Han, Nathaniel Li and others, and released in January 20251.
HLE was released in January 2025 by the Center for AI Safety and Scale AI12. Its authors built it because models were scoring over 90% on popular tests such as MMLU, which made those tests useless for comparing the best systems1.
It has 2,500 questions across subjects including maths, the humanities and the natural sciences1. Questions came from nearly 1,000 expert contributors at over 500 institutions in 50 countries3. Each has one checkable answer, and questions were kept only if they could not be quickly found online1. About 14% need a diagram or image, and 24% are multiple choice3.
Early models did badly. Stanford's AI Index reported a top score of 8.80% in its 2025 edition4. Progress has been fast since. On Scale AI's leaderboard in October 2026, the top model scored 54.8%3.
The test has flaws. In July 2025 the research group FutureHouse estimated that about 29% of the chemistry and biology answers conflicted with published research5. The HLE team's own review found about 18% of a subset problematic, and now maintains a continuously corrected version, HLE-Rolling53. The paper was published in Nature in January 20262.
HLE measures closed-ended academic questions. Its authors say a high score would not by itself show autonomous research ability3.
Example
A typical style of HLE question asks for one precise fact that is hard to look up. FutureHouse criticised one such question, about the rarest noble gas on Earth in 2002, as trivia with a disputed answer5.
Why it matters
It is one of the headline numbers AI companies now use to show their models are pushing past older tests. Its known errors are a reminder that even "hard" benchmarks need checking.
Questions people ask
Why is it called Humanity's Last Exam?
Its creators meant it to be the final closed-ended academic benchmark of its kind, with questions at the frontier of human expert knowledge1.
What is the highest score on Humanity's Last Exam?
It changes quickly. On Scale AI's leaderboard on 11 October 2026, the top model scored 54.8%3. Scores vary between leaderboards because some allow web search or tools.
Are Humanity's Last Exam answers correct?
Not all of them. FutureHouse estimated about 29% of chemistry and biology answers were contradicted by published research, and the HLE team found about 18% of a subset problematic5.
Related terms
Sources
- Phan et al. (2025), Humanity's Last Exam, arXiv:2501.14249
- Center for AI Safety, Humanity's Last Exam project page (news log)
- Scale AI, Humanity's Last Exam leaderboard (viewed 11 October 2026)
- Stanford HAI (2025), AI Index Report 2025, Technical Performance
- FutureHouse (July 2025, updated September 2025), About 30% of Humanity's Last Exam chemistry/biology answers are likely wrong