C4STYLI: leaderboard

Large Language Models (LLMs) are increasingly deployed in diverse cultural contexts, yet their ability to master aesthetic stylistics, i.e., the strategic use of language to evoke cultural resonance, remains underexplored. We curate C4STYLI, a benchmark of highly stylized translated movie titles and advertising slogans from Hong Kong and the Chinese Mainland, to evaluate LLMs via the lens of behav

Metric: Accuracy (C4Styli-T) (self-reported). Source: benchmarklist.com. Saturation forecast: Around November 2026. 18 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 2.5 72B Instruct79.9#454
2DeepSeek V3.2 (Thinking)74.5#205 (DeepSeek V3.2)
3O4 Mini70.1#180
4Qwen 2.5 32B Instruct68.6#498
5GPT-4.168.5#248
6Qwen 3 14B68.5#537
7Qwen 3 32B68#443
8Qwen 3 8B66.1#674
9Qwen 2.5 14B Instruct64.8#647
10Llama 3 70B Instruct62.4#634
11Gemma 3 27B (IT)60.4#523
12Qwen 2.5 7B Instruct59.8#862
13Gemma 3 4B (IT)55.8#992
14Gemma 3 12B (IT)54.7#664
15Llama 3 8B Instruct53.5#1129

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

Interactive version: theaggregate.ai/benchmark?slug=c4styli · How It Works · Data refreshed daily, snapshot 2026-10-20.