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multimodal benchmark

LifeSciBench Leaderboard

LifeSciBench is an expert-authored, expert-reviewed benchmark of 750 open-ended life-science research tasks spanning seven workflows and seven biological domains. Responses are graded against 19,020 physician- and scientist-written rubric criteria rather than multiple-choice answers, and most tasks require interpreting attached artifacts such as figures, PDFs, and sequence files.

Updated Aug 17, 2026

Models3
Model coverage3
MetricScore
EvidenceB

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LifeSciBench Ranking

Higher score ranks better on this benchmark.

3 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelOPGPT-5.6 SolOpenAIScore59.9%Percentile100.0%Participants3EvidenceCEvaluatedAug 17, 2026
Rank02ModelOPGPT-5.6 TerraOpenAIScore56.0%Percentile50.0%Participants3EvidenceCEvaluatedAug 17, 2026
Rank03ModelOPGPT-5.6 LunaOpenAIScore51.2%Percentile0.0%Participants3EvidenceCEvaluatedAug 17, 2026

LifeSciBench Highlights

The leading models and scores on this benchmark.

Rank #1GPT-5.6 Sol59.9%Rank #2GPT-5.6 Terra56.0%Rank #3GPT-5.6 Luna51.2%

LifeSciBench Score Distribution

A closer view of the leading scores on this benchmark.

LifeSciBench

The Top AI Models for LifeSciBench

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

Ranking basisThis lifescibench 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-5.6 SolOpenAI
    Score
    59.9%
    Price
    $5.0 input / $30 output per 1M tokens
    Speed
    Up to 27 tok/s via OpenAI

    Strengths

    • Ranks #1 of 3 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures LifeSciBench, not total model capability
  2. 02
    OP
    GPT-5.6 TerraOpenAI
    Score
    56.0%
    Price
    $2.0 input / $12 output per 1M tokens
    Speed
    Up to 35 tok/s via OpenAI

    Strengths

    • Ranks #2 of 3 compared models
    • 50th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures LifeSciBench, not total model capability
  3. 03
    OP
    GPT-5.6 LunaOpenAI
    Score
    51.2%
    Price
    $0.20 input / $1.2 output per 1M tokens
    Speed
    Up to 49 tok/s via OpenAI

    Strengths

    • Ranks #3 of 3 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures LifeSciBench, not total model capability

Selection summary

Best AI Models for LifeSciBench

GPT-5.6 Sol currently leads LifeSciBench with 59.9%. 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-5.6 Sol59.9% · $5.0 input / $30 output per 1M tokensBenchmark rank #2GPT-5.6 Terra56.0% · $2.0 input / $12 output per 1M tokensBenchmark rank #3GPT-5.6 Luna51.2% · $0.20 input / $1.2 output per 1M tokens

What is LifeSciBench?

What LifeSciBench measures and how its scores work.

LifeSciBench is an expert-authored, expert-reviewed benchmark of 750 open-ended life-science research tasks spanning seven workflows and seven biological domains. Responses are graded against 19,020 physician- and scientist-written rubric criteria rather than multiple-choice answers, and most tasks require interpreting attached artifacts such as figures, PDFs, and sequence files.

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

Family
LifeSciBench
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
Yes
Evaluation key
lifescibench|llm-stats-current

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

FAQ

Common questions about LifeSciBench.

Which model scores highest on LifeSciBench?

GPT-5.6 Sol is currently ranked first with 59.9%.

What does LifeSciBench measure?

LifeSciBench is an expert-authored, expert-reviewed benchmark of 750 open-ended life-science research tasks spanning seven workflows and seven biological domains. Responses are graded against 19,020 physician- and scientist-written rubric criteria rather than multiple-choice answers, and most tasks require interpreting attached artifacts such as figures, PDFs, and sequence files.

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.