Dataset · Hugging Face

meituan-longcat/AMO-Bench

Name: AMO-Bench
Creator: meituan-longcat
License: mit
Keywords: task_categories:question-answering, language:en, license:mit, size_categories:n<1K, format:parquet, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, arxiv:2510.26768, arxiv:2508.19413, arxiv:2508.03927, region:us, Large Language Models

📐 AMO-Bench: Large Language Models Still Struggle in High School Math Competitions 📄 Paper 🌐 Project Page 💻 Github Repo Updates 2026.02.05: Leaderboard Update: Qwen3-Max-Thinking achieves a new SOTA with 65.1%, while GLM-4.7 sets a new open-source record at 62.4%! 2025.12.01: We have added Token Efficiency showing the number of output tokens used by models in the leaderboard. Gemini 3 Pro achieves the highest token efficiency among top-performance models!… See the full description on the dataset page: https://huggingface.co/datasets/meituan-longcat/AMO-Bench.

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Author / organization	meituan-longcat
License (as declared)	mit
Downloads	1.8K (as reported by Hugging Face)
Likes	37
Created	29 October 2025
Last updated at source	5 February 2026

Large Language ModelsReasoning ModelsMathematical Reasoningmathematics

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