QIMMA - MedArabiQ QA: leaderboard

Open-ended question-answering part of MedArabiQ, Arabic medical questions, as run in QIMMA. Generated answers are scored by BERTScore F1 against references (0-100, higher is better); BERTScore has a high floor, so models span a narrow range.

Metric: BERTScore F1 (%). Source: huggingface.co. Saturation forecast: Around 2031. 83 models tracked.

Top models

#ModelScoreOverall rank
1Gemma 4 26B A4B (IT)56.88#293
2Gemma 4 31B (IT)56.73#178
3Qwen 3 235B A22B 2507 Instruct55.59#315
4Gemma 3 27B (IT)55.45#528
5AIC-154.95#235
6Jais-2-70B-Chat54.67#430
7Qwen 2.5 72B Instruct54.54#469
8Llama 3.3 70B Instruct54.29#541
9Qwen 2.5 32B Instruct54.28#509
10Fanar-1-9B-Instruct54.14#635
11AceGPT-v2-32B-Chat54.04#518
12gemma-4-E4B-it53.78#577
13LFM2 24B A2B53.6#1362
14Qwen 3 30B A3B 2507 Instruct53.58#492
15ALLaM-7B-Instruct-preview53.55#724

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

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