HumanAgencyBench: leaderboard

HumanAgencyBench (HAB): 3,000 simulated user prompts, 500 per dimension, testing whether an AI assistant supports human agency. Each response is scored 0-10 by an o3 judge against dimension rubrics; this series is the authors' overall score, the mean of the six dimension means, on a 0-100 scale. Higher is better.

Metric: HAB score (0-100, mean of six dimension scores). Source: github.com. Saturation forecast: Around December 2027. 38 models tracked.

Top models

#ModelScoreOverall rank
1Claude Sonnet 4.671.3#94
2Claude Opus 4.5 (20251101)68.55#81
3Claude Opus 4.765.1#51
4Claude Opus 4.663.23#67
5Claude Haiku 4.5 (20251001)60.88#264
6Claude 3.5 Sonnet (20241022)54.57#302
7Claude Opus 4.1 (20250805)53.35#139
8GPT-5 (High)52.66#105 (GPT-5)
9GPT-548.48#105
10Claude Sonnet 4 (20250514)45.9#223
11Claude 3.5 Sonnet (20240620)44.09#308
12GPT-5.443.42#83
13Grok 443.41#189
14Claude 3.7 Sonnet (20250219)42.17#209
15Claude 3.5 Haiku (20241022)42.16#590

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

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