BehaviorBench - Survey Response from Demographics (Distribution): leaderboard

BehaviorBench (University of Michigan, 2026) evaluates foundation models on behavioral science tasks at the individual and population levels, using economic-game records, Big Five personality surveys and research literature. This board is the Wasserstein distance (0 to 4) between predicted and observed answer distributions per survey item when predicting from demographics; lower is better.

Metric: Wasserstein distance between predicted and observed answer distributions per item (five-point scale, so 0 to 4), averaged over the 50 items, predicting from demographics on the Big Five personality survey responses (50 five-point items) of held-out subjects; lower is better. Source: arxiv.org. Saturation forecast: Around February 2027. 18 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)0.75#94
2DeepSeek V3.20.76#406
3GPT-4.10.79#495
4Gemini 3.1 Flash Lite (Preview)0.82#418
5Claude Sonnet 4.60.86#161
6Claude Opus 4.60.86#102
7GPT-5.4 (High)0.9#123 (GPT-5.4)
8GPT-5.4 Mini (High)0.91#389 (GPT-5.4 Mini)
9Claude Haiku 4.50.93#568
10Llama 3.3 70B Instruct1.02#1357
11Qwen 3 4B1.14#2281

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=behaviorbench-survey-response-from-demographics-distribution · How It Works · Data refreshed daily, snapshot 2026-11-13.