IslamicLegalBench (Zero-Shot) - Strict Accuracy: leaderboard

Metric: Correct response rate (%, no credit for partly correct answers): the unweighted mean of the 13 task rates, on IslamicLegalBench's 718 expert-built Islamic-law questions in 13 task types over classical fiqh texts of several schools (metadata and concept recall, source attribution, condition enumeration, statute synthesis, 'illah identification, analogy and maxim mapping), answers graded against the reference for every core element by an o3 judge (correct, partially correct, incorrect or refusal), temperature 0, zero-shot prompting; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 9 models tracked.

Top models

#ModelScoreOverall rank
1GPT-565.42#91
2Claude Sonnet 4.565.32#138
3Grok 464.42#169
4Gemini 2.5 Pro64.23#145
5DeepSeek R152.51#245
6Qwen 3 235B A22B 2507 Instruct47.68#291
7Llama 4 Maverick Instruct FP847.4#403
8GPT-OSS-120B36.36#330
9Llama 3.1 8B Instruct26.8#1018

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=islamiclegalbench-zero-shot-strict-accuracy · How It Works · Data refreshed daily, snapshot 2026-10-11.