QIMMA - MizanQA: leaderboard

MizanQA multiple-choice questions on Moroccan law, as run in the QIMMA Arabic leaderboard. The score is LightEval's normalized multiple-choice probability metric, computed from option log-likelihoods rather than generated answers; 0-100, higher is better.

Metric: Normalized multiple-choice probability score (%). Source: huggingface.co. Saturation forecast: Around 2030. 83 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.5 397B A17B73.36#154
2Jais-2-70B-Chat71.78#430
3Llama 3.3 70B Instruct67.44#541
4Qwen 3.5 27B65.18#192
5Gemma 4 31B (IT)64.02#178
6Qwen 3.5 122B A10B64.01#184
7AceGPT-v2-32B-Chat63.89#518
8Qwen 2.5 72B Instruct63.49#469
9Gemma 3 27B (IT)61.65#528
10Jais-2-8B-Chat61.33#802
11c4ai-command-r7B-arabic-02-202559.98#727
12Atlas-Chat-9B59.69#710
13Qwen 3.6 35B A3B59.4#238
14Qwen 2.5 7B Instruct58.91#863
15Qwen 3.5 35B A3B58.68#268

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

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