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math benchmark

FrontierScience Olympiad

FrontierScience Olympiad is a benchmark of olympiad-level scientific reasoning problems, testing expert understanding and multi-step reasoning across advanced natural-science domains.

Updated Aug 11, 2026

Models3
Model coverage3
MetricScore
EvidenceB

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  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

FrontierScience Olympiad Ranking

Higher score ranks better on this benchmark.

3 rows
Columns

Show columns

01BYSeed 2.1 TurboByteDance76.0%100.0%3CAug 11, 2026
02BYSeed 2.1 ProByteDance75.0%50.0%3CAug 11, 2026
03TEHy3Tencent74.8%0.0%3CAug 11, 2026

FrontierScience Olympiad Score Distribution

A closer view of the leading scores on this benchmark.

FrontierScience Olympiad

FrontierScience Olympiad Highlights

The leading models and scores on this benchmark.

Rank #1Seed 2.1 Turbo76.0%Rank #2Seed 2.1 Pro75.0%Rank #3Hy374.8%

What is FrontierScience Olympiad?

What FrontierScience Olympiad measures and how its scores work.

FrontierScience Olympiad is a benchmark of olympiad-level scientific reasoning problems, testing expert understanding and multi-step reasoning across advanced natural-science domains.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
FrontierScience Olympiad
Modality
text
Primary category
math
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
frontierscience-olympiad|llm-stats-current

Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about FrontierScience Olympiad.

Which model scores highest on FrontierScience Olympiad?

Seed 2.1 Turbo is currently ranked first with 76.0%.

What does FrontierScience Olympiad measure?

FrontierScience Olympiad is a benchmark of olympiad-level scientific reasoning problems, testing expert understanding and multi-step reasoning across advanced natural-science domains.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

3 model results are currently shown.

Does this benchmark affect the overall score?

Yes. This benchmark can contribute to the current LLMBoard capability score.