Humanity's Last Exam

Humanity's Last Exam (HLE) is a question set of over 2,500 expert questions from about a hundred domains, designed to be the very edge of human knowledge — created specifically because frontier models had become too good at all existing benchmarks. The score reflects the accuracy of the final answer.

Humanity's Last Exam measures hard reasoning in science, technology, engineering and math. In detail, it checks:

• extremely difficult interdisciplinary questions
• genuine expert reasoning instead of pattern matching
• compositional thinking across several fields
• accuracy even when guessing would be plausible

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

What is the Humanity's Last Exam benchmark?

Humanity's Last Exam (HLE) is a question set of over 2,500 expert questions from about a hundred domains, designed to be the very edge of human knowledge — created specifically because frontier models had become too good at all existing benchmarks. The score reflects the accuracy of the final answer.

What does Humanity's Last Exam test?

Humanity's Last Exam mainly measures hard reasoning in science, technology, engineering and math. Concretely, it checks: extremely difficult interdisciplinary questions; genuine expert reasoning instead of pattern matching; compositional thinking across several fields.

How is the Humanity's Last Exam score calculated?

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.

Where do I get Humanity's Last Exam data and scores?

The official source is https://artificialanalysis.ai/evaluations/humanitys-last-exam. The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/humanitys-last-exam/scores) or pull it directly from the Open LLM Radar API with any HTTP client.