multimodal benchmark
MusicCaps Leaderboard
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 17, 2026
Models1
Model coverage1
MetricScore
EvidenceB
MusicCaps Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score32.8% | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
MusicCaps Highlights
The leading models and scores on this benchmark.
The Top AI Models for MusicCaps
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis musiccaps AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01ACQwen2.5-Omni-7BAlibaba Cloud / Qwen Team
- Score
- 32.8%
- Price
- $0.10 input / $0.40 output per 1M tokens
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures MusicCaps, not total model capability
Selection summary
Best AI Models for MusicCaps
Qwen2.5-Omni-7B currently leads MusicCaps with 32.8%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
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.