multimodal benchmark
MMAU Leaderboard
A massive multi-task audio understanding and reasoning benchmark comprising 10,000 carefully curated audio clips paired with human-annotated natural language questions spanning speech, environmental sounds, and music. Requires expert-level knowledge and complex reasoning across 27 distinct skills.
Updated Aug 17, 2026
Models3
Model coverage3
MetricScore
EvidenceB
MMAU Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelTM | Score77.0% | Percentile100.0% | Participants3 | EvidenceC | Evaluated |
| Rank02 | ModelAM Nova 2 OmniAmazon | Score75.3% | Percentile50.0% | Participants3 | EvidenceC | Evaluated |
| Rank03 | ModelAC | Score65.6% | Percentile0.0% | Participants3 | EvidenceC | Evaluated |
MMAU Highlights
The leading models and scores on this benchmark.
MMAU Score Distribution
A closer view of the leading scores on this benchmark.
The Top AI Models for MMAU
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis mmau 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.
- 01TMInkling-SmallThinking Machines Lab
- Score
- 77.0%
Strengths
- Ranks #1 of 3 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures MMAU, not total model capability
- 02AMNova 2 OmniAmazon
- Score
- 75.3%
Strengths
- Ranks #2 of 3 compared models
- 50th percentile on this benchmark
- C evidence result
Considerations
- This result measures MMAU, not total model capability
- 03ACQwen2.5-Omni-7BAlibaba Cloud / Qwen Team
- Score
- 65.6%
- Price
- $0.10 input / $0.40 output per 1M tokens
Strengths
- Ranks #3 of 3 compared models
- 0th percentile on this benchmark
- C evidence result
Considerations
- This result measures MMAU, not total model capability
Selection summary
Best AI Models for MMAU
Inkling-Small currently leads MMAU with 77.0%. 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?
What MMAU measures and how its scores work.
A massive multi-task audio understanding and reasoning benchmark comprising 10,000 carefully curated audio clips paired with human-annotated natural language questions spanning speech, environmental sounds, and music. Requires expert-level knowledge and complex reasoning across 27 distinct skills.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- MMAU
- Modality
- multimodal
- Primary category
- multimodal
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- mmau|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about MMAU.
Which model scores highest on MMAU?
Inkling-Small is currently ranked first with 77.0%.
What does MMAU measure?
A massive multi-task audio understanding and reasoning benchmark comprising 10,000 carefully curated audio clips paired with human-annotated natural language questions spanning speech, environmental sounds, and music. Requires expert-level knowledge and complex reasoning across 27 distinct skills.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
3 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.