QIMMA - ArabCulture: leaderboard

ArabCulture multiple-choice commonsense questions about everyday life and culture across Arab countries, as run in the QIMMA Arabic leaderboard. Scored with LightEval log-likelihood over the answer options with character-length normalization rather than generated answers, so reasoning-tuned models can land near chance; accuracy 0-100, higher is better.

Metric: Accuracy (%, log-likelihood multiple choice). Source: huggingface.co. Saturation forecast: Not forecast. 83 models tracked.

Top models

#ModelScoreOverall rank
1Jais-2-70B-Chat83.24#430
2AceGPT-v2-32B-Chat79.79#518
3Llama 3.3 70B Instruct78.05#541
4jais-adapted-70B-chat78#639
5AIC-177.52#235
6Qwen 2.5 32B Instruct75.8#509
7Yehia-7B-preview75.47#659
8Hala-9B72.83#517
9jais-adapted-13B-chat72.16#948
10SILMA-9B-Instruct-v1.071.22#927
11Fanar-1-9B-Instruct70.71#635
12granite-4.0-h-3B-ar69.97#1002
13Jais-2-8B-Chat68.99#802
14LFM2 24B A2B68.83#1362
15c4ai-command-r7B-arabic-02-202566.94#727

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

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