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safety benchmark

ProtocolQA Open-Ended Leaderboard

ProtocolQA Open-Ended evaluates free-form answers to troubleshooting failed experimental outcomes from common biological laboratory protocols.

Updated Nov 11, 2026

Models2
Model coverage2
MetricScore
EvidenceB

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ProtocolQA Open-Ended Ranking

Higher score ranks better on this benchmark.

2 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelXAGrok 4.7xAIScore70.40%Percentile100.00%Participants2EvidenceCEvaluatedNov 10, 2026
Rank02ModelOPGPT-RosalindOpenAIScore36.40%Percentile0.00%Participants2EvidenceCEvaluatedNov 10, 2026

ProtocolQA Open-Ended Highlights

The leading models and scores on this benchmark.

Rank #1Grok 4.770.40%Rank #2GPT-Rosalind36.40%

ProtocolQA Open-Ended Score Distribution

A closer view of the leading scores on this benchmark.

ProtocolQA Open-Ended

The Top AI Models for ProtocolQA Open-Ended

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

What is ProtocolQA Open-Ended?

What ProtocolQA Open-Ended measures and how its scores work.

ProtocolQA Open-Ended is a benchmark for free-form answers about troubleshooting failed experimental outcomes from common biological laboratory protocols, separate from the multiple-choice ProtocolQA split.

It measures performance using the Score metric, reported as a ratio.

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

Family
ProtocolQA Open-Ended
Modality
text
Primary category
safety
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 ProtocolQA Open-Ended.

Which model scores highest on ProtocolQA Open-Ended?

Grok 4.7 is currently ranked first with 70.40%.

What are the top three models on ProtocolQA Open-Ended?

The current leaders are Grok 4.7 (70.40%) and GPT-Rosalind (36.40%).

Which ProtocolQA Open-Ended model has the lowest official input price?

Grok 4.7 has the lowest matched official input price at $2.0 input / $6.0 output per 1M tokens.

Which models are fastest among ProtocolQA Open-Ended results?

No matched runtime record is currently available.

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 ProtocolQA Open-Ended measure?

It measures performance using the Score metric, 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 protocolqa open-ended 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
    XA
    Grok 4.7xAI
    Score
    70.40%
    Price
    $2.0 input / $6.0 output per 1M tokens

    Strengths

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

    Considerations

    • This result measures ProtocolQA Open-Ended, not total model capability
  2. 02
    OP
    GPT-RosalindOpenAI
    Score
    36.40%

    Strengths

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

    Considerations

    • This result measures ProtocolQA Open-Ended, not total model capability

Selection summary

Best AI Models for ProtocolQA Open-Ended

Grok 4.7 currently leads ProtocolQA Open-Ended with 70.40%. 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 #1Grok 4.770.40% · $2.0 input / $6.0 output per 1M tokens
Benchmark rank #2GPT-Rosalind36.40%