MusTBENCH: leaderboard
Recent Large Audio-Language Models (LALMs) have demonstrated promising abilities in understanding musical content. However, whether their responses are grounded in the correct temporal regions of the audio remains underexplored. This limitation is particularly critical for music understanding, where key information often occurs as temporally localized events, such as instrument entries and rhythmi
Metric: Total Avg. (self-reported). Source: benchmarklist.com. 12 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 2.5 Flash | 41.8 | #245 |
| 2 | Gemini 2.5 Pro | 40.3 | #152 |
| 3 | Gemini 3 Flash | 38.1 | #99 |
| 4 | Gemini 3 Pro | 36.6 | #80 |
Interactive version: theaggregate.ai/benchmark?slug=mustbench · How It Works · Data refreshed daily, snapshot 2026-10-20.