multimodal benchmark
MMAU Sound Leaderboard
MMAU Sound is a multimodal benchmark subset focused on environmental sound understanding and reasoning tasks.
Updated Sep 5, 2026
Models1
Model coverage1
MetricScore
EvidenceB
MMAU Sound Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAC | Score67.87% | Percentile100.00% | Participants1 | EvidenceC | Evaluated |
MMAU Sound Highlights
The leading models and scores on this benchmark.
The Top AI Models for MMAU Sound
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis mmau sound AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01ACAlibaba Cloud / Qwen Team
- Score
- 67.87%
- 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 MMAU Sound, not total model capability
Selection summary
Best AI Models for MMAU Sound
Qwen2.5-Omni-7B currently leads MMAU Sound with 67.87%. 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 MMAU Sound?
What MMAU Sound measures and how its scores work.
MMAU Sound is a subset of the MMAU benchmark and part of a multimodal audio understanding benchmark.
It measures environmental sound understanding, expert-level knowledge, and complex reasoning across environmental sound clips using Score as a ratio.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MMAU Sound
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- overall
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MMAU Sound.
Which model scores highest on MMAU Sound?
Qwen2.5-Omni-7B is currently ranked first with 67.87%.
What are the top three models on MMAU Sound?
The current leaders are Qwen2.5-Omni-7B (67.87%).
Which MMAU Sound model has the lowest official input price?
Qwen2.5-Omni-7B has the lowest matched official input price at $0.10 input / $0.40 output per 1M tokens.
Which models are fastest among MMAU Sound results?
No matched runtime record is currently available.
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.