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reasoning benchmark

GeneBench Leaderboard

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 17, 2026

Models2
Model coverage2
MetricScore
EvidenceB

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GeneBench Ranking

Higher score ranks better on this benchmark.

2 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelOPGPT-5.5 ProOpenAIScore33.2%Percentile100.0%Participants2EvidenceCEvaluatedAug 17, 2026
Rank02ModelOPGPT-5.5OpenAIScore25.0%Percentile0.0%Participants2EvidenceCEvaluatedAug 17, 2026

GeneBench Highlights

The leading models and scores on this benchmark.

Rank #1GPT-5.5 Pro33.2%Rank #2GPT-5.525.0%

GeneBench Score Distribution

A closer view of the leading scores on this benchmark.

GeneBench

The Top AI Models for GeneBench

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

Ranking basisThis genebench AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    OP
    GPT-5.5 ProOpenAI
    Score
    33.2%
    Price
    $30 input / $180 output per 1M tokens

    Strengths

    • Ranks #1 of 2 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures GeneBench, not total model capability
  2. 02
    OP
    GPT-5.5OpenAI
    Score
    25.0%
    Price
    $5.0 input / $30 output per 1M tokens

    Strengths

    • Ranks #2 of 2 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures GeneBench, not total model capability

Selection summary

Best AI Models for GeneBench

GPT-5.5 Pro currently leads GeneBench with 33.2%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.

Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.

Benchmark rank #1GPT-5.5 Pro33.2% · $30 input / $180 output per 1M tokensBenchmark rank #2GPT-5.525.0% · $5.0 input / $30 output per 1M tokens

What is GeneBench?

What GeneBench measures and how its scores work.

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. This benchmark is not independently verified and has an evidence level of B.

Family
GeneBench
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
No
Evaluation key
genebench|llm-stats-current

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

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 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.