reasoning benchmark
GeneBench
GeneBench is an evaluation focused on multi-stage scientific data analysis in genetics and quantitative biology. Tasks require reasoning about ambiguous or noisy data with minimal supervisory guidance, addressing realistic obstacles such as hidden confounders or QC failures, and correctly implementing and interpreting modern statistical methods.
Updated Aug 7, 2026
Published models2
Registry coverage2
MetricScore
EvidenceB
GeneBench leaderboard
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | OP | 33.2% | 100.0% | 2 | C | |
| 2 | OP | 25.0% | 0.0% | 2 | C |
Score distribution
Top published rows on the benchmark's original scale.
GeneBench highlights
The top published results on this benchmark's own scale.
What is GeneBench?
Definition and scoring fields from the benchmark registry.
GeneBench is an evaluation focused on multi-stage scientific data analysis in genetics and quantitative biology. Tasks require reasoning about ambiguous or noisy data with minimal supervisory guidance, addressing realistic obstacles such as hidden confounders or QC failures, and correctly implementing and interpreting modern statistical methods.
Scores are shown in ratio. The current registry marks this benchmark as not independently verified with evidence level B.
- Family
- GeneBench
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- genebench|llm-stats-current
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
FAQ
Common questions about GeneBench.
Which model scores highest on GeneBench?
GPT-5.5 Pro is currently ranked first with 33.2%.
What does GeneBench measure?
GeneBench is an evaluation focused on multi-stage scientific data analysis in genetics and quantitative biology. Tasks require reasoning about ambiguous or noisy data with minimal supervisory guidance, addressing realistic obstacles such as hidden confounders or QC failures, and correctly implementing and interpreting modern statistical methods.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
2 unique published model results are currently shown.
Does this benchmark affect the overall score?
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.