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multimodal benchmark

MMAU Leaderboard

MMAU is a multimodal benchmark for audio understanding and reasoning across speech, environmental sounds, and music.

Updated Oct 23, 2026

Models5
Model coverage5
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • Distribution
  • Top models
  • About
  • FAQ

MMAU Ranking

Higher score ranks better on this benchmark.

5 rows
Columns

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Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen3.8 Omni FlashAlibaba Cloud / Qwen TeamScore81.80%Percentile100.00%Participants5EvidenceCEvaluatedOct 22, 2026
Rank02ModelTMInklingThinking Machines LabScore77.20%Percentile75.00%Participants5EvidenceCEvaluatedOct 22, 2026
Rank03ModelTMInkling-SmallThinking Machines LabScore77.00%Percentile50.00%Participants5EvidenceCEvaluatedOct 22, 2026
Rank04ModelAMNova 2 OmniAmazonScore75.30%Percentile25.00%Participants5EvidenceCEvaluatedOct 22, 2026
Rank05ModelACQwen2.5-Omni-7BAlibaba Cloud / Qwen TeamScore65.60%Percentile0.00%Participants5EvidenceCEvaluatedOct 22, 2026

MMAU Highlights

The leading models and scores on this benchmark.

MMAU Score Distribution

A closer view of the leading scores on this benchmark.

MMAU

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.

What is MMAU?

What MMAU measures and how its scores work.

MMAU is a benchmark comprising 10,000 audio clips paired with human-annotated natural language questions across 27 distinct skills.

MMAU measures audio understanding and reasoning performance using a Score reported as a ratio.

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
No
Evaluation key
overall

LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about MMAU.

Which model scores highest on MMAU?

Qwen3.8 Omni Flash is currently ranked first with 81.80%.

What are the top three models on MMAU?

The current leaders are Qwen3.8 Omni Flash (81.80%), Inkling (77.20%), and Inkling-Small (77.00%).

Which MMAU 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 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.

What does MMAU measure?

MMAU measures audio understanding and reasoning performance using a Score reported as a ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

5 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.

Rank #1Qwen3.8 Omni Flash81.80%
Rank #2Inkling77.20%
Rank #3Inkling-Small77.00%
Rank #4Nova 2 Omni75.30%

Ranking basisThis mmau AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    AC
    Qwen3.8 Omni FlashAlibaba Cloud / Qwen Team
    Score
    81.80%
    Price
    $0.15 input / $0.47 output per 1M tokens

    Strengths

    • Ranks #1 of 5 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MMAU, not total model capability
  2. 02
    TM
    InklingThinking Machines Lab
    Score
    77.20%

    Strengths

    • Ranks #2 of 5 compared models
    • 75th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MMAU, not total model capability
  3. 03
    TM
    Thinking Machines Lab
    Score
    77.00%

    Strengths

    • Ranks #3 of 5 compared models
    • 50th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MMAU, not total model capability
  4. 04
    AM
    Amazon
    Score
    75.30%

    Strengths

    • Ranks #4 of 5 compared models
    • 25th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MMAU, not total model capability
  5. 05
    AC
    Alibaba Cloud / Qwen Team
    Score
    65.60%
    Price
    $0.10 input / $0.40 output per 1M tokens

    Strengths

    • Ranks #5 of 5 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

Qwen3.8 Omni Flash currently leads MMAU with 81.80%. 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.

Inkling-Small
Nova 2 Omni
Qwen2.5-Omni-7B
Benchmark rank #1Qwen3.8 Omni Flash81.80% · $0.15 input / $0.47 output per 1M tokens
Benchmark rank #2Inkling77.20%
Benchmark rank #3Inkling-Small77.00%