SAHM - Business Exams: leaderboard

Metric: Accuracy (%) on the 183 business exam 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: Around January 2027. 20 models tracked.

Top models

#ModelScore
1GPT-4o78.14
2Llama 3.1 70B Instruct77.6
3GPT-4o Mini77.6
4Claude Sonnet 4.576.5
5Claude Opus 4.576.5
6Qwen 2.5 72B Instruct74.86
7Gemini 3 Flash (Preview)74.86
8Claude Haiku 4.573.77
9Gemma 3 27B (IT)73.22
10GPT-572.68
11SILMA-9B-Instruct-v1.069.4
12ALLaM-7B-Instruct-preview68.31
13Gemma 3 4B (IT)67.76
14Fanar-1-9B-Instruct66.12
15Gemma 2 9B (IT)63.39

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