SAHM - Open-Ended QA Average: leaderboard

Metric: Mean judge score (0-10) over the three open-ended tasks (event-cause QA, Islamic standards QA, fatwa QA) of SAHM, an Arabic financial and Sharia-compliance benchmark, each answer graded against the gold answer by a Gemini 2.5 Flash judge with an additive rubric, greedy decoding, mean of three runs; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 20 models tracked.

Top models

#ModelScore
1Claude Opus 4.58.84
2GPT-58.84
3Claude Sonnet 4.58.4
4Claude Haiku 4.57.55
5GPT-4o7.16
6Gemma 3 27B (IT)6.69
7Qwen 2.5 72B Instruct6.37
8GPT-4o Mini6.29
9Fanar-1-9B-Instruct5.67
10Qwen 2.5 14B Instruct5.48
11ALLaM-7B-Instruct-preview5.35
12Llama 3.1 70B Instruct5.04
13Gemma 2 9B (IT)4.93
14Gemma 3 4B (IT)4.26
15Qwen 2.5 7B Instruct4.06

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