UniVerseBench: 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 all 5,042 questions over 372 recordings.

Metric: Accuracy (%; 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

#ModelScoreOverall rank
1Qwen 3.5 Omni Plus74.4#237
2Gemini 3 Flash70.8#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 · How It Works · Data refreshed daily, snapshot 2026-11-12.