MASK (Paper): leaderboard

The model's belief on a proposition is first elicited with neutral questions; it is then given a prompt that pressures it to say otherwise, and the number is the share of 1,500 examples where its statement contradicts its own belief. Unlike TruthfulQA-style accuracy boards, a model that is wrong but sincere does not lose points; this is the paper's own run, not the later Scale leaderboard (SEAL - MASK).

Metric: Examples where the model's statement under pressure contradicts its own elicited belief, P(lie) (%). Source: arxiv.org. 32 models tracked.

Top models

#ModelScoreOverall rank
1Llama 3.2 1B Instruct13.1#9047
2Qwen 2.5 0.5B Instruct15.4#8987
3Llama 2 7B Chat21.5#8805
4Llama 3.1 8B Instruct23.5#4246
5Llama 3.2 3B Instruct23.5#7147
6Llama 2 13B Chat24.7#8186
7QwQ 32B-Preview25.2#1625
8Claude 3.7 Sonnet (20250219)26.6#402
9Llama 2 70B Chat26.7#6800
10Qwen 2.5 1.5B Instruct26.9#7470
11Llama 3.1 405B Instruct28#1115
12Claude 3.5 Sonnet (20240620)33.4#687
13Qwen 2.5 3B Instruct33.8#5150
14Qwen 1.5 7B Chat35.1#6361
15Qwen 1.5 110B Chat35.6#1771

Interactive version: theaggregate.ai/benchmark?slug=mask-paper · How It Works · Data refreshed daily, snapshot 2026-11-13.