science benchmark
LAB-Bench Practical Leaderboard
LAB-Bench Practical is a public multiple-choice evaluation of everyday wet-lab and research skills.
Updated Sep 24, 2026
Models1
Model coverage1
MetricScore
EvidenceB
LAB-Bench Practical Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelXA | Score76.80% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
LAB-Bench Practical Highlights
The leading models and scores on this benchmark.
The Top AI Models for LAB-Bench Practical
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis lab-bench practical 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
- 76.80%
- 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 LAB-Bench Practical, not total model capability
Selection summary
Best AI Models for LAB-Bench Practical
Grok 4.7 currently leads LAB-Bench Practical with 76.80%. 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 LAB-Bench Practical?
What LAB-Bench Practical measures and how its scores work.
LAB-Bench Practical is a science benchmark covering protocol troubleshooting, sequence reasoning, and cloning scenarios.
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
- LAB-Bench Practical
- Modality
- text
- Primary category
- science
- 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 LAB-Bench Practical.
Which model scores highest on LAB-Bench Practical?
Grok 4.7 is currently ranked first with 76.80%.
What are the top three models on LAB-Bench Practical?
The current leaders are Grok 4.7 (76.80%).
Which LAB-Bench Practical 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 LAB-Bench Practical 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.