multimodal benchmark
OmniBench Music Leaderboard
Music component of OmniBench, a comprehensive benchmark for evaluating omni-language models' ability to recognize, interpret, and reason across visual, acoustic, and textual inputs simultaneously. The music category includes various compositions and performances that require integrated understanding across text, image, and audio modalities.
Updated Aug 17, 2026
Models1
Model coverage1
MetricScore
EvidenceB
OmniBench Music Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score52.8% | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
OmniBench Music Highlights
The leading models and scores on this benchmark.
The Top AI Models for OmniBench Music
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis omnibench music 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
- 52.8%
- 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 OmniBench Music, not total model capability
Selection summary
Best AI Models for OmniBench Music
Qwen2.5-Omni-7B currently leads OmniBench Music with 52.8%. 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 OmniBench Music?
What OmniBench Music measures and how its scores work.
Music component of OmniBench, a comprehensive benchmark for evaluating omni-language models' ability to recognize, interpret, and reason across visual, acoustic, and textual inputs simultaneously. The music category includes various compositions and performances that require integrated understanding across text, image, and audio modalities.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- OmniBench Music
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- omnibench-music|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about OmniBench Music.
Which model scores highest on OmniBench Music?
Qwen2.5-Omni-7B is currently ranked first with 52.8%.
What does OmniBench Music measure?
Music component of OmniBench, a comprehensive benchmark for evaluating omni-language models' ability to recognize, interpret, and reason across visual, acoustic, and textual inputs simultaneously. The music category includes various compositions and performances that require integrated understanding across text, image, and audio modalities.
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.