safety benchmark
ProtocolQA Open-Ended Leaderboard
ProtocolQA Open-Ended evaluates free-form answers to troubleshooting failed experimental outcomes from common biological laboratory protocols.
Updated Sep 24, 2026
Models1
Model coverage1
MetricScore
EvidenceB
ProtocolQA Open-Ended Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelXA | Score70.40% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
ProtocolQA Open-Ended Highlights
The leading models and scores on this benchmark.
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.
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.
- 01XAxAI
- Score
- 70.40%
- Price
- $2.0 input / $6.0 output per 1M tokens
- Speed
- Up to 5.32 tok/s via xAI
Strengths
- Ranks #1 of 1 compared models
- 100th 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.
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%).
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?
The fastest matched records are Grok 4.7 (5.32 tok/s via xAI).
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.