QIMMA - MedArabiQ MCQ: leaderboard
Metric: Accuracy (%, log-likelihood multiple choice). Source: huggingface.co. 83 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemma 4 31B | 58.27 |
| 2 | Llama 3.3 70B Instruct | 58.22 |
| 3 | Qwen 3.5 35B A3B | 54.29 |
| 4 | AIC-1 | 52.56 |
| 5 | Qwen 3.5 397B A17B | 52.27 |
| 6 | Qwen 3.5 122B A10B | 51.93 |
| 7 | Jais-2-70B-Chat | 50.91 |
| 8 | gemma-3-27B-pt | 49.23 |
| 9 | Fanar-2-27B-Instruct | 48.24 |
| 10 | Gemma 4 26B A4B | 47.58 |
| 11 | Fanar-1-9B-Instruct | 46.53 |
| 12 | AceGPT-v2-32B-Chat | 45.88 |
| 13 | Qwen 2.5 72B Instruct | 45.58 |
| 14 | Hala-9B | 44.55 |
| 15 | Fanar-1-9B | 43.89 |
Interactive version: theaggregate.ai/benchmark?slug=qimma-medarabiq-mcq · How It Works · Data refreshed daily, snapshot 2026-09-19.