Open Arabic LLM - Aratrust Unfairness: leaderboard

The "Aratrust Unfairness" subtask of Open Arabic LLM. A task from the Open Arabic LLM Leaderboard, evaluating models on Arabic-language knowledge, reasoning and understanding across native and translated benchmarks.

Metric: Accuracy (%). Source: huggingface.co. Saturation forecast: Estimated already saturated. 162 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 2.5 72B96.36#499
2lambda-qwen2.5-14B-dpo-test96.36#481
3Hala-9B96.36#504
4Qwen 2.5 72B Instruct94.55#454
5Qwen 2.5 14B Instruct94.55#647
6Phi-4 Mini Instruct94.55#1245
7Qwen 2 72B94.55#521
8EZO-Qwen2.5-32B-Instruct94.55#471
9Qwen2.5-14B-Gutenberg-1e-Delta94.55#473
10Rombos-LLM-V2.6-Qwen-14B94.55#516
11recoilme-gemma-2-9B-v0.294.55#629
12Qwen2.5-Lumen-14B94.55#477
13AIC-194.55#231
14gemma-3-12B-pt92.73#686
15aya-expanse-32B92.73#692

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

Interactive version: theaggregate.ai/benchmark?slug=open-arabic-llm-aratrust-unfairness · How It Works · Data refreshed daily, snapshot 2026-10-20.