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OlympiadBench

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Progress Over Time

Interactive timeline showing model performance evolution on OlympiadBench

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OlympiadBench Leaderboard

1 models
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1
Alibaba Cloud / Qwen Team
Alibaba Cloud / Qwen Team
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About this benchmark

What is OlympiadBench?

A challenging benchmark for promoting AGI with Olympiad-level bilingual multimodal scientific problems. Comprises 8,476 math and physics problems from international and Chinese Olympiads and the Chinese college entrance exam, featuring expert-level annotations for step-by-step reasoning. Includes both text-only and multimodal problems in English and Chinese.

OlympiadBench is a multimodal benchmark evaluating models on math, multimodal, physics, reasoning, and vision tasks. LLM Stats tracks 1 models on this benchmark, scored on a 0–1 scale. The current average is 0.2, with the leader at 0.2.

Compare leaders on the best AI for math, best AI for multimodal, best AI for physics, best AI for reasoning and best AI for vision leaderboards.

Current leaders

QvQ-72B-Preview from Alibaba Cloud / Qwen Team currently leads the OlympiadBench leaderboard with a score of 0.204 across 1 evaluated AI models.

1QvQ-72B-PreviewAlibaba Cloud / Qwen Team20.4%

FAQ

Common questions about the OlympiadBench benchmark and leaderboard.

What is the OlympiadBench benchmark?

A challenging benchmark for promoting AGI with Olympiad-level bilingual multimodal scientific problems. Comprises 8,476 math and physics problems from international and Chinese Olympiads and the Chinese college entrance exam, featuring expert-level annotations for step-by-step reasoning. Includes both text-only and multimodal problems in English and Chinese.

What is the OlympiadBench leaderboard?

The OlympiadBench leaderboard ranks 1 AI models based on their performance on this benchmark. Currently, QvQ-72B-Preview by Alibaba Cloud / Qwen Team leads with a score of 0.204. The average score across all models is 0.204.

What is the highest OlympiadBench score?

The highest OlympiadBench score is 0.204, achieved by QvQ-72B-Preview from Alibaba Cloud / Qwen Team.

How many models are evaluated on OlympiadBench?

1 models have been evaluated on the OlympiadBench benchmark, with 0 verified results and 1 self-reported results.

Where can I find the OlympiadBench paper?

The OlympiadBench paper is available at https://arxiv.org/abs/2402.14008. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does OlympiadBench cover?

OlympiadBench is categorized under math, multimodal, physics, reasoning, and vision. The benchmark evaluates multimodal models with multilingual support.

How recent are the OlympiadBench leaderboard results?

The OlympiadBench leaderboard was last updated in September 2026 and currently includes 1 evaluated models.