reasoning benchmark
FrontierScience Research
FrontierScience Research is a benchmark evaluating AI models on cutting-edge scientific research questions requiring deep domain expertise, multi-step reasoning, and synthesis of complex scientific concepts across disciplines.
Updated Aug 11, 2026
Models4
Model coverage4
MetricScore
EvidenceB
FrontierScience Research Ranking
Higher score ranks better on this benchmark.
| 01 | ME | 38.3% | 100.0% | 4 | C | |
| 02 | BY | 33.3% | 66.7% | 4 | C | |
| 03 | BY | 28.3% | 33.3% | 4 | C | |
| 04 | TE | 21.3% | 0.0% | 4 | C |
FrontierScience Research Score Distribution
A closer view of the leading scores on this benchmark.
FrontierScience Research Highlights
The leading models and scores on this benchmark.
What is FrontierScience Research?
What FrontierScience Research measures and how its scores work.
FrontierScience Research is a benchmark evaluating AI models on cutting-edge scientific research questions requiring deep domain expertise, multi-step reasoning, and synthesis of complex scientific concepts across disciplines.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- FrontierScience Research
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- frontierscience-research|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about FrontierScience Research.
Which model scores highest on FrontierScience Research?
Muse Spark is currently ranked first with 38.3%.
What does FrontierScience Research measure?
FrontierScience Research is a benchmark evaluating AI models on cutting-edge scientific research questions requiring deep domain expertise, multi-step reasoning, and synthesis of complex scientific concepts across disciplines.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
4 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.