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Mathematics
The 30 problems of the 2024 American Invitational Mathematics Examination (AIME I and II). Every answer is an integer from 0 to 999, with no options and no partial credit. It is a frequent reference point for reasoning models.
aime-2024
Full text: eligible public problems include text, images and discussion.
The 2024 American Invitational Mathematics Examination was a mathematics competition administered by the Mathematical Association of America, rather than a test originally designed for language models. Its short numerical answers and demanding solutions made it useful for evaluating mathematical reasoning. Maxwell-Jia published the dataset version recorded here on Hugging Face in December 2024.
The dataset collects all 30 problems from the 2024 AIME I and AIME II examinations. These are human-authored competition problems, each requiring an integer answer from 0 to 999 rather than a choice among supplied options. The source includes worked solutions and final answers, which are excluded from the evaluation prompt.
One competition problem statement. The official solution and the integer answer are not part of the prompt.
The source ships the worked solution and the integer answer; this catalogue keeps both in restricted storage and never renders them.
Evaluation conditions differ between rows, so this is not a ranking. Rows marked vendor are reports by the model’s own organization.
| Model | Score | Metric | Setup | Reported by | Source |
|---|---|---|---|---|---|
| DeepSeek V3DeepSeek | 39.2 | Pass@1 | Chat model; 8K output limit; multiple runs with varying temperatures for benchmarks under 1000 samples. | vendor (self-reported) | Chat Model, Standard Benchmarks, AIME 2024 (Pass@1), final column |
Each problem takes a multi-step construction that has to be carried out exactly. A single arithmetic slip produces a wrong integer, and thirty problems make each one worth three points of the score.
Thirty problems provide a small sample of mathematical ability: one additional correct answer changes single-run accuracy by about 3.3 percentage points. Final-answer grading gives no partial credit and does not establish that the accompanying reasoning is valid. The public availability of the problems and solutions creates a potential training-contamination risk, while sampling, output limits and repeated attempts can change reported performance.
The vendor report recorded here gives DeepSeek V3 a pass@1 score of 39.2 percent, using an 8K output limit and repeated runs with varying temperatures for small benchmarks. That result leaves substantial headroom in the reported setup, but it does not establish the present best performance. Fractional scores from repeated sampling should not be interpreted as the number of problems solved in a single 30-question attempt.
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8d88b2876a82a080e2f172cc9b25d0d9d2cb4792 · acquired 2026-09-12 · release 31c7e41d93d98d88b2876a82a080e2f172cc9b25d0d9d2cb4792 · acquired 2026-09-12 · release a0ba82c12c708d88b2876a82a080e2f172cc9b25d0d9d2cb4792 · acquired 2026-09-12 · release 9986a9443c45Answer published by the source
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