AMC_2022_23

American Mathematics Competition problems from the 2022-23 academic year, consisting of multiple-choice mathematics competition problems designed for high school students. These problems require advanced mathematical reasoning, problem-solving strategies, and mathematical knowledge covering topics like algebra, geometry, number theory, and combinatorics. The benchmark is derived from the official AMC competitions sponsored by the Mathematical Association of America.

Mistral Large 3 (675B Base) from Mistral AI currently leads the AMC_2022_23 leaderboard with a score of 0.520 across 6 evaluated AI models.

Paper

Progress Over Time

Interactive timeline showing model performance evolution on AMC_2022_23

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AMC_2022_23 Leaderboard

6 models
ContextCostLicense
1675B
1675B
1675B
1675B262K$0.50 / $1.50
52.1M$2.50 / $10.00
61.0M$0.15 / $0.60
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FAQ

Common questions about AMC_2022_23.

What is the AMC_2022_23 benchmark?

American Mathematics Competition problems from the 2022-23 academic year, consisting of multiple-choice mathematics competition problems designed for high school students. These problems require advanced mathematical reasoning, problem-solving strategies, and mathematical knowledge covering topics like algebra, geometry, number theory, and combinatorics. The benchmark is derived from the official AMC competitions sponsored by the Mathematical Association of America.

What is the AMC_2022_23 leaderboard?

The AMC_2022_23 leaderboard ranks 6 AI models based on their performance on this benchmark. Currently, Mistral Large 3 (675B Base) by Mistral AI leads with a score of 0.520. The average score across all models is 0.482.

What is the highest AMC_2022_23 score?

The highest AMC_2022_23 score is 0.520, achieved by Mistral Large 3 (675B Base) from Mistral AI.

How many models are evaluated on AMC_2022_23?

6 models have been evaluated on the AMC_2022_23 benchmark, with 0 verified results and 6 self-reported results.

Where can I find the AMC_2022_23 paper?

The AMC_2022_23 paper is available at https://arxiv.org/abs/2103.03874. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does AMC_2022_23 cover?

AMC_2022_23 is categorized under math and reasoning. The benchmark evaluates text models.

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