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reasoning benchmark

MASK Leaderboard

MASK is a collection of 1000 questions measuring whether models faithfully report their beliefs when pressured to lie.

Updated Sep 5, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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MASK Ranking

Higher score ranks better on this benchmark.

1 row
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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelXAGrok-4.1 ThinkingxAIScore51.00%Percentile100.00%Participants1EvidenceCEvaluatedSep 8, 2026

MASK Highlights

The leading models and scores on this benchmark.

Rank #1Grok-4.1 Thinking51.00%

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 original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    XA
    xAI
    Score
    51.00%
    Speed
    Up to 80.00 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 51.00%. 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 reasoning benchmark consisting of 1000 questions about whether models report their beliefs faithfully under pressure to lie.

MASK measures the rate at which a model lies, defined as 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
overall

LLM Stats. 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 51.00%.

What are the top three models on MASK?

The current leaders are Grok-4.1 Thinking (51.00%).

Which MASK model has the lowest official input price?

No matched official input price is currently available.

Which models are fastest among MASK results?

The fastest matched records are Grok-4.1 Thinking (80.00 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.

What does MASK measure?

MASK measures the rate at which a model lies, defined as 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.

Grok-4.1 Thinking
Benchmark rank #1Grok-4.1 Thinking51.00% · Up to 80.00 tok/s via xAI