AIME 2025

AIME 2025 uses the problems of the American Invitational Mathematics Examination 2025 (I & II) as a benchmark. These are competition math problems that only have their exact numeric answer graded. Because the problems are new and public, a model can barely rely on training-data memorisation — the year variants show whether a model really computes or just remembers.

AIME 2025 measures hard reasoning in science, technology, engineering and math. In detail, it checks:

• competition-level math problem solving
• exact numeric answers (graded answers must be exact)
• multi-step reasoning without tools (unless explicitly 'with tools')
• fresh problems that defeat memorised answer lists

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 AIME 2025 benchmark?

AIME 2025 uses the problems of the American Invitational Mathematics Examination 2025 (I & II) as a benchmark. These are competition math problems that only have their exact numeric answer graded. Because the problems are new and public, a model can barely rely on training-data memorisation — the year variants show whether a model really computes or just remembers.

What does AIME 2025 test?

AIME 2025 mainly measures hard reasoning in science, technology, engineering and math. Concretely, it checks: competition-level math problem solving; exact numeric answers (graded answers must be exact); multi-step reasoning without tools (unless explicitly 'with tools').

How is the AIME 2025 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 AIME 2025 data and scores?

The official source is https://artofproblemsolving.com/wiki/index.php/2025_AIME. 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/aime-2025/scores) or pull it directly from the Open LLM Radar API with any HTTP client.