multimodal benchmark
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 7, 2026
Sorted by the source-provided rank. Higher score is better according to the registry.
| 1 | AC | 52.8% | 100.0% | 1 | C |
The top published results on this benchmark's own scale.
Definition and scoring fields from the benchmark registry.
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. The current registry marks this benchmark as not independently verified with evidence level B.
Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.
Common questions about OmniBench Music.
Qwen2.5-Omni-7B is currently ranked first with 52.8%.
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.
Yes. Higher values rank better for this benchmark.
1 unique published model results are currently shown.
This benchmark is preserved as source-native evidence but is not eligible for the current overall score.