Open Arabic LLM - Arabic MMLU HT Machine Learning: leaderboard

The "Arabic MMLU HT Machine Learning" 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: Around 2029. 163 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 2.5 72B Instruct56.25#454
2Qwentile2.5-32B-Instruct56.25#339
3Qwen 2.5 72B53.57#499
4Qwen 2 72B53.57#521
5AIC-153.57#231
6Awqward2.5-32B-Instruct52.68#371
7Llama 3.3 70B Instruct50.89#534
8Qwen2.5-32B-Instruct-CFT50.89#375
9Qwen 2.5 32B Instruct50#498
10Qwen 2.5 32B49.11#546
11Rombos-LLM-V2.6-Qwen-14B49.11#516
12Qwen3-8B-Base48.21#626
13Qwen2.5-32B-Instruct-abliterated-v248.21#394
14Fanar-1-9B47.32#778
15Gemma 3 27B (IT)46.43#523

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-arabic-mmlu-ht-machine-learning · How It Works · Data refreshed daily, snapshot 2026-10-20.