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Cognum Leaderboard

How the world's best AI models think - ranked by cognitive profiling, not capability benchmarks.

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Models

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Top Cognum

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What do these metrics mean?
Cognum (CQ)

The composite cognitive score from 0 to 100, calculated as a weighted average across all 10 dimensions. Higher = more sophisticated cognitive behavior across diverse environments.

CI (±)

95% Confidence Interval - the margin of error around the Cognum score. A model with score 55.3 ±2.1 means its true score is likely between 53.2 and 57.4. Lower CI = more reliable score. Requires 2+ runs.

CVI (Cognitive Volatility Index)

Measures how much a model's cognitive profile changes between runs. High CVI (8+) suggests strong internal “debate” between competing perspectives - the same model thinks differently each time. Low CVI (<3) indicates stable, consistent cognition. Based on Society of Thought and Evans et al. research.

Cognitive Type

A classification based on the model's dominant cognitive strengths. E.g. “Strategic Explorer” excels at strategic depth and learning, while “Risk Seeker” shows high risk tolerance with variable other dimensions.

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