HELM Arabic - Aratrust - Unfairness: leaderboard

HELM Arabic (release v2.2.0) AraTrust Unfairness category: human-written Arabic three-option multiple-choice questions probing trustworthiness on unfairness and bias; 55 questions, exact match. Percent correct, 0-100, higher is better; guessing scores 33.3.

Metric: Exact Match (%). Source: crfm.stanford.edu. Saturation forecast: Estimated already saturated. 41 models tracked.

Top models

#ModelScoreOverall rank
1Claude Haiku 4.5 (20251001)100#264
2Qwen 3.5 9B96.36#391
3Gemini 2.5 Flash Lite (Non-reasoning)96.36#432 (Gemini 2.5 Flash Lite)
4Claude Sonnet 4.694.55#94
5GPT-4.1 Mini94.55#363
6Qwen 2.5 72B Instruct94.55#469
7Qwen 3.5 397B A17B94.55#154
8GPT-4.1 (2025-04-14)94.55#257
9DeepSeek V3.194.55#275
10Llama 4 Maverick Instruct FP894.55#424
11Mistral Large 394.55#410
12Mistral Large 2 (Nov) Instruct (2411)94.55#480
13AceGPT-v2-70B-Chat94.55#421
14GPT-4.1 Nano92.73#730
15Gemma 4 31B (IT)92.73#178

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

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