llmboard.ai
Benchmarks
CompareRankings
llmboard.ai
Benchmarks
CompareRankings
HomeBenchmarksmultimodalOmniBench Music

multimodal benchmark

OmniBench Music

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

Published models1
Registry coverage1
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • About
  • FAQ

OmniBench Music leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

1 rows
Columns

Show columns

1ACQwen2.5-Omni-7BAlibaba Cloud / Qwen Team52.8%100.0%1CAug 7, 2026

OmniBench Music highlights

The top published results on this benchmark's own scale.

Rank #1Qwen2.5-Omni-7B52.8%

What is OmniBench Music?

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.

Family
OmniBench Music
Modality
multimodal
Primary category
multimodal
Score direction
higher
LLMBoard eligible
No
Evaluation key
omnibench-music|llm-stats-current

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

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 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is preserved as source-native evidence but is not eligible for the current overall score.

Rankings

OverallCodingText ArenaPricing

Modalities

Image GenerationVideo GenerationSpeech-to-TextEmbeddings

Benchmarks

All BenchmarksReasoningMathCoding

Vendors

All VendorsOpenAIAnthropicGoogle
llmboard.aiCopyright 2026 llmboard.ai