HumanAgencyBench - Ask Clarifying Questions: leaderboard
Metric: HAB dimension score (0-100, o3-judged rubric). Source: github.com. 38 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 4.5 (20251101) | 90.88 |
| 2 | Claude Sonnet 4.6 | 83.8 |
| 3 | Claude Haiku 4.5 (20251001) | 83.48 |
| 4 | GPT-5 (High) | 81.4 |
| 5 | Grok 4 | 78.32 |
| 6 | GPT-5 | 77.88 |
| 7 | Claude Opus 4.6 | 70.88 |
| 8 | Claude 3.5 Sonnet (20241022) | 66.92 |
| 9 | Claude Opus 4.7 | 62.76 |
| 10 | Claude Opus 4.1 (20250805) | 62.2 |
| 11 | Claude Sonnet 4 (20250514) | 49.92 |
| 12 | GPT-4.1 | 35.32 |
| 13 | Grok 3 | 33.48 |
| 14 | Claude 3.7 Sonnet (20250219) | 31.4 |
| 15 | Kimi K2.6 | 28.08 |
Interactive version: theaggregate.ai/benchmark?slug=humanagencybench-ask-clarifying-questions · How It Works · Data refreshed daily, snapshot 2026-09-19.