QIMMA - MedAraBench: leaderboard
Metric: Accuracy (%, log-likelihood multiple choice). Source: huggingface.co. 83 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Llama 3.3 70B Instruct | 54.86 |
| 2 | Gemma 4 31B | 54.5 |
| 3 | Qwen 3.5 122B A10B | 52.49 |
| 4 | Jais-2-70B-Chat | 50.89 |
| 5 | AIC-1 | 50.78 |
| 6 | Fanar-1-9B-Instruct | 48.53 |
| 7 | Qwen 3.5 397B A17B | 47.97 |
| 8 | Gemma 4 26B A4B | 47.77 |
| 9 | Hala-9B | 47.54 |
| 10 | AceGPT-v2-32B-Chat | 47.32 |
| 11 | Qwen 3.5 35B A3B | 46.46 |
| 12 | Qwen 2.5 72B Instruct | 44.19 |
| 13 | gemma-3-27B-pt | 43.72 |
| 14 | Fanar-2-27B-Instruct | 42.31 |
| 15 | Jais-2-8B-Chat | 41.25 |
Interactive version: theaggregate.ai/benchmark?slug=qimma-medarabench · How It Works · Data refreshed daily, snapshot 2026-09-19.