multimodal benchmark
MusicCaps
MusicCaps is a dataset composed of 5,521 music examples, each labeled with an English aspect list and a free text caption written by musicians. The dataset contains 10-second music clips from AudioSet paired with rich textual descriptions that capture sonic qualities and musical elements like genre, mood, tempo, instrumentation, and rhythm. Created to support research in music-text understanding and generation tasks.
Updated Aug 11, 2026
Models1
Model coverage1
MetricScore
EvidenceB
MusicCaps Ranking
Higher score ranks better on this benchmark.
| 1 | AC | 32.8% | 100.0% | 1 | C |
MusicCaps Highlights
The leading models and scores on this benchmark.
What is MusicCaps?
What MusicCaps measures and how its scores work.
MusicCaps is a dataset composed of 5,521 music examples, each labeled with an English aspect list and a free text caption written by musicians. The dataset contains 10-second music clips from AudioSet paired with rich textual descriptions that capture sonic qualities and musical elements like genre, mood, tempo, instrumentation, and rhythm. Created to support research in music-text understanding and generation tasks.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MusicCaps
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- musiccaps|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MusicCaps.
Which model scores highest on MusicCaps?
Qwen2.5-Omni-7B is currently ranked first with 32.8%.
What does MusicCaps measure?
MusicCaps is a dataset composed of 5,521 music examples, each labeled with an English aspect list and a free text caption written by musicians. The dataset contains 10-second music clips from AudioSet paired with rich textual descriptions that capture sonic qualities and musical elements like genre, mood, tempo, instrumentation, and rhythm. Created to support research in music-text understanding and generation tasks.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
1 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.