HELM Arabic - Alghafa - Multiple Choice Sentiment Task: leaderboard

HELM Arabic (release v2.2.0) AlGhafa Multiple Choice Sentiment Task task: sentiment classification of Arabic texts, from the native AlGhafa Arabic multiple-choice benchmark; 1,000 items, exact match. Percent correct, 0-100, higher is better.

Metric: Exact Match (%). Source: crfm.stanford.edu. Saturation forecast: Around 2033. 41 models tracked.

Top models

#ModelScoreOverall rank
1Claude Haiku 4.5 (20251001)46.1#264
2Qwen 3.5 397B A17B45.5#154
3GPT-4.1 (2025-04-14)43.9#257
4Llama 4 Scout Instruct43.7#547
5DeepSeek V3.143.7#275
6Gemini 2.5 Flash (Non-reasoning)43.7#255 (Gemini 2.5 Flash)
7Llama 3.3 70B Instruct43.3#541
8GPT-5.4 (2026-03-05)43.1#63
9Qwen 2.5 72B Instruct43#469
10Claude Opus 4.743#51
11Llama 4 Maverick Instruct FP842.7#424
12GPT-5.1 (2025-11-13)42.4#107
13Gemini 2.5 Flash Lite (Non-reasoning)42.2#432 (Gemini 2.5 Flash Lite)
14Claude Sonnet 4.642.1#94
15AceGPT-v2-32B-Chat42.1#518

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-multiple-choice-sentiment-task · How It Works · Data refreshed daily, snapshot 2026-11-05.