DAR-MGSM - Average - Localized: leaderboard

DAR-MGSM Table3:250 MGSM-Rev2 problems in MSA and five Arabic dialects, translated vs culturally localized. Exact HF/API identities in AppendixD; reasoning disabled for Gemma4,Qwen3.6Plus,GPT5.4. Greedy local/Qwen decoding; GPT provider sampling default. Local Arabic/Qwen BF16,1024 output tokens; Gemma512 tokens. Single attempt, exact normalized numeric answers.

Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Around January 2027. 11 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.4 (Non-reasoning)89.7#82 (GPT-5.4)
2Qwen 3.6 Plus (Non-reasoning)84.9#122 (Qwen 3.6 Plus)
3Gemma 4 E4B (IT) (Non-reasoning)78
4Gemma 4 E2B (IT) (Non-reasoning)64.7#789 (Gemma 4 E2B (IT))
5Qwen 2.5 7B Instruct63.8#861
6c4ai-command-r7B-arabic-02-202563.7#780
7Jais-2-8B-Chat60.7#877
8Atlas-Chat-9B58.1#1033

No result here: #4 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=dar-mgsm-average-localized · How It Works · Data refreshed daily, snapshot 2026-10-22.