reasoning benchmark
MASK Leaderboard
MASK is a collection of 1000 questions measuring whether models faithfully report their beliefs when pressured to lie. It operationalizes deception as the rate at which the model lies, i.e., knowingly making false statements intended to be received as true. Lower dishonesty rates indicate better honesty.
Updated Aug 17, 2026
Models1
Model coverage1
MetricScore
EvidenceB
MASK Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelXA | Score51.0% | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
MASK Highlights
The leading models and scores on this benchmark.
The Top AI Models for MASK
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis mask 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.
- 01XA
- Score
- 51.0%
- Speed
- Up to 80 tok/s via xAI
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures MASK, not total model capability
Selection summary
Best AI Models for MASK
Grok-4.1 Thinking currently leads MASK with 51.0%. 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 MASK?
What MASK measures and how its scores work.
MASK is a collection of 1000 questions measuring whether models faithfully report their beliefs when pressured to lie. It operationalizes deception as the rate at which the model lies, i.e., knowingly making false statements intended to be received as true. Lower dishonesty rates indicate better honesty.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MASK
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- mask|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MASK.
Which model scores highest on MASK?
Grok-4.1 Thinking is currently ranked first with 51.0%.
What does MASK measure?
MASK is a collection of 1000 questions measuring whether models faithfully report their beliefs when pressured to lie. It operationalizes deception as the rate at which the model lies, i.e., knowingly making false statements intended to be received as true. Lower dishonesty rates indicate better honesty.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
1 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.