HELM Arabic - Alghafa - Meta AR MSA: leaderboard

HELM Arabic (release v2.2.0) AlGhafa Meta AR MSA task: four-option Belebele reading-comprehension questions in Modern Standard Arabic, from the native AlGhafa Arabic multiple-choice benchmark; 895 items, exact match. Percent correct, 0-100, higher is better.

Metric: Exact Match (%). Source: crfm.stanford.edu. Saturation forecast: Estimated already saturated. 41 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 4.795.64#51
2Gemma 4 31B (IT)95.31#178
3Claude Sonnet 4.694.97#94
4GPT-5.4 (2026-03-05)94.41#63
5Gemini 2.5 Flash (Non-reasoning)94.19#255 (Gemini 2.5 Flash)
6Qwen 3.5 397B A17B93.97#154
7GPT-5.1 (2025-11-13)93.52#107
8Claude Haiku 4.5 (20251001)92.85#264
9Llama 3.3 70B Instruct92.63#541
10Qwen 3 Next 80B A3B Instruct92.63#381
11Mistral Large 392.4#410
12GPT-4.1 (2025-04-14)92.29#257
13Llama 4 Maverick Instruct FP892.29#424
14Qwen 2.5 72B Instruct91.62#469
15Gemini 2.5 Flash Lite (Non-reasoning)91.28#432 (Gemini 2.5 Flash Lite)

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

Interactive version: theaggregate.ai/benchmark?slug=helm-arabic-alghafa-meta-ar-msa · How It Works · Data refreshed daily, snapshot 2026-11-05.