QIMMA - AraDiCE-Culture: leaderboard

AraDiCE cultural-awareness multiple-choice questions about Arab regions, 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: Around February 2027. 83 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.5 397B A17B82.78#154
2Yehia-7B-preview81.67#659
3ALLaM-7B-Instruct-preview78.89#724
4Jais-2-70B-Chat78.89#430
5Llama 3.3 70B Instruct77.22#541
6Qwen 2.5 72B Instruct77.22#469
7Gemma 4 31B77.22#212
8AceGPT-v2-32B-Chat76.67#518
9jais-adapted-70B-chat76.67#639
10jais-adapted-13B-chat75.56#948
11Qwen 3.5 122B A10B74.44#184
12Fanar-1-9B-Instruct74.44#635
13Fanar-1-9B74.44#784
14AIC-173.33#235
15Gemma 4 26B A4B71.67#360

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

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