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reasoning benchmark

LABBench2 Leaderboard

LABBench2 evaluates models on real-world biology research tasks.

Updated Sep 5, 2026

Models2
Model coverage2
MetricScore
EvidenceB

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LABBench2 Ranking

Higher score ranks better on this benchmark.

2 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelGOGemini 3.8 FlashGoogleScore86.20%Percentile100.00%Participants2EvidenceCEvaluatedSep 8, 2026
Rank02ModelGOGemini 3.7 FlashGoogleScore82.10%Percentile0.00%Participants2EvidenceCEvaluatedSep 8, 2026

LABBench2 Highlights

The leading models and scores on this benchmark.

Rank #1Gemini 3.8 Flash86.20%Rank #2Gemini 3.7 Flash82.10%

LABBench2 Score Distribution

A closer view of the leading scores on this benchmark.

LABBench2

The Top AI Models for LABBench2

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

What is LABBench2?

What LABBench2 measures and how its scores work.

LABBench2 is a benchmark for evaluating models on real-world biology research tasks.

It measures performance on real-world biology research tasks using Score, reported as a ratio.

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

Family
LABBench2
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

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

FAQ

Common questions about LABBench2.

Which model scores highest on LABBench2?

Gemini 3.8 Flash is currently ranked first with 86.20%.

What are the top three models on LABBench2?

The current leaders are Gemini 3.8 Flash (86.20%) and Gemini 3.7 Flash (82.10%).

Which LABBench2 model has the lowest official input price?

Gemini 3.8 Flash has the lowest matched official input price at $0.75 input / $3.8 output per 1M tokens.

Which models are fastest among LABBench2 results?

The fastest matched records are Gemini 3.7 Flash (117.86 tok/s via Google) and Gemini 3.8 Flash (51.56 tok/s via Google).

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does LABBench2 measure?

It measures performance on real-world biology research tasks using Score, reported as a ratio.

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.

Ranking basisThis labbench2 AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    GO
    Gemini 3.8 FlashGoogle
    Score
    86.20%
    Price
    $0.75 input / $3.8 output per 1M tokens
    Speed
    Up to 51.56 tok/s via Google

    Strengths

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

    Considerations

    • This result measures LABBench2, not total model capability
  2. 02
    GO
    Gemini 3.7 FlashGoogle
    Score
    82.10%
    Price
    $0.75 input / $3.8 output per 1M tokens
    Speed
    Up to 117.86 tok/s via Google

    Strengths

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

    Considerations

    • This result measures LABBench2, not total model capability

Selection summary

Best AI Models for LABBench2

Gemini 3.8 Flash currently leads LABBench2 with 86.20%. 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 #1Gemini 3.8 Flash86.20% · $0.75 input / $3.8 output per 1M tokens
Benchmark rank #2Gemini 3.7 Flash82.10% · $0.75 input / $3.8 output per 1M tokens