SAHM - Fatwa MCQ: leaderboard

Metric: Accuracy (%) on the 2,000 Islamic financial fatwa multiple-choice questions of SAHM, an Arabic financial and Sharia-compliance benchmark, exact match after normalizing the chosen option, greedy decoding, mean of three runs; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 20 models tracked.

Top models

#ModelScore
1Claude Opus 4.591.75
2GPT-590.75
3Gemini 3 Flash (Preview)89.9
4Claude Sonnet 4.588.15
5GPT-4o87.7
6Llama 3.1 70B Instruct84.9
7Claude Haiku 4.584.9
8Qwen 2.5 72B Instruct84.65
9GPT-4o Mini81.75
10Gemma 3 27B (IT)80.65
11Qwen 2.5 14B Instruct76.05
12Fanar-1-9B-Instruct74.45
13ALLaM-7B-Instruct-preview74.4
14Qwen 2.5 7B Instruct70
15Gemma 2 9B (IT)66.6

Interactive version: theaggregate.ai/benchmark?slug=sahm-fatwa-mcq · How It Works · Data refreshed daily, snapshot 2026-10-07.