Metacognitive Monitoring Battery: leaderboard

Six developmental-psychology paradigms over 524 items (overhypothesis induction, signal-detection metacognitive calibration, mutual exclusivity, biased competition, magnitude and executive function, prospective regulation), scored as the mean of the six task scores. Tests whether a model tracks its own accuracy well enough to withdraw a wrong answer. Higher is better. Source: arxiv.org/abs/2604.15702.

Metric: Mean Task Score (%). Source: www.kaggle.com. Saturation forecast: Estimated already saturated. 20 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Flash (Preview)94.33#90
2Claude Opus 4.693.76#67
3GLM-593.62#149
4Gemini 3.1 Pro (Preview)93.33#64
5Gemini 2.5 Flash93.23#255
6Claude Sonnet 4.692.73#94
7Gemini 2.5 Pro92.03#159
8GPT-5.491.84#83
9Qwen 3 235B A22B 2507 Instruct89.78#315
10Claude Haiku 4.588.29#287
11GPT-5.4 Mini87.67#228
12Qwen 3 Coder 480B A35B Instruct87.22#314
13DeepSeek V3.284.66#210
14Gemma 3 27B83.27#606
15Gemma 3 12B83.1#674

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=metacognitive-monitoring-battery · How It Works · Data refreshed daily, snapshot 2026-11-05.