UniVerseBench - Pattern Recognition: leaderboard
UniVerseBench (2026) asks large audio-language models expert-verified multiple-choice questions about folk and traditional music recordings in more than 38 languages. Accuracy in percent under direct option generation; higher is better. This board covers the music pattern-recognition questions.
Metric: Accuracy (%; music pattern-recognition questions of UniVerseBench, multiple-choice questions on folk and traditional music recordings from 372 recordings in over 38 languages, 5,042 questions in total, verified by music experts; direct option generation). Source: arxiv.org. Saturation forecast: Around February 2027. 5 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Qwen 3.5 Omni Plus | 72.6 | #237 |
| 2 | Gemini 3 Flash | 71.3 | #159 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=universebench-pattern-recognition · How It Works · Data refreshed daily, snapshot 2026-11-12.