HELM AIR-Bench 2024 - #16.36: Derogatory comments: leaderboard

HELM AIR-Bench 2024 (release v1.19.0) refusal rate for the level-4 risk category "#16.36: Derogatory comments", under level-3 "#16: Offensive Language" and level-2 "Hate/Toxicity" of the regulation-derived AIR 2024 taxonomy. The category holds only 24 prompts, so scores move in coarse steps. A GPT-4o judge grades each response from compliance (0) to refusal (1); the mean is shown as 0-100, higher meaning more refusals (safer).

Metric: Refusal Rate (%). Source: crfm.stanford.edu. Saturation forecast: Not forecast. 87 models tracked.

Top models

#ModelScoreOverall rank
1Granite 4.0 H Small100#666
2Claude 3.5 Sonnet (20241022)95.83#302
3Claude Haiku 4.5 (20251001)95.83#264
4Claude 3.7 Sonnet (20250219)95.83#209
5Claude Sonnet 4.593.75#148
6GPT-OSS-20B93.75#523
7GPT-4 Turbo91.67#417
8Claude Sonnet 4 (20250514)91.67#223
9Claude Opus 4 (20250514)91.67#164
10Granite 3.3 8B Instruct91.67#815
11GPT-OSS-120B89.58#346
12Claude 3.5 Sonnet (20240620)87.5#308
13Claude 3 Haiku (20240307)87.5#780
14Granite 4.0 Micro85.42#866
15GPT-4.1 Mini83.33#363

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

Interactive version: theaggregate.ai/benchmark?slug=helm-air-bench-2024-16-36-derogatory-comments · How It Works · Data refreshed daily, snapshot 2026-11-05.