llmboard.aiAI model intelligence
Home

Model Rankings

OverallOpen ModelsAgentCodingReasoningMathKnowledgeInstruction FollowingTextVision
Image GenerationImage Editing
Video GenerationImage to VideoVideo Editing
Text to SpeechSpeech to Text
Embeddings

Efficiency

Chat Token PricingImage PricingVideo PricingAudio Pricing
Chat Speed & LatencyProvider Reliability

Benchmarks

GPQAMMLU-ProAIME 2025SWE-Bench VerifiedMMLUHumanity's Last ExamLiveCodeBenchMATHHumanEvalMMMU-Pro
All Benchmarks

Tools

Model Directory

Scoring & Data

Scoring & Data
1224 models729 benchmarks

Leaderboard Center

Overall RankingCodingCore BenchmarksPrice & ValueRuntime Performance

Modalities

All ModelsImage GenerationImage EditingVideo GenerationImage-to-VideoVideo EditingText-to-SpeechSpeech-to-TextEmbeddings

Data & Methods

Scoring MethodAll Benchmarks
llmboard.aiCopyright 2026 llmboard.ai

multimodal benchmark

MMAU Leaderboard

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

Updated Sep 5, 2026

Models3
Model coverage3
MetricScore
EvidenceB

On this page

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

MMAU Ranking

Higher score ranks better on this benchmark.

3 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelTMInkling-SmallThinking Machines LabScore77.00%Percentile100.00%Participants3EvidenceCEvaluatedSep 8, 2026
Rank02ModelAMNova 2 OmniAmazonScore75.30%Percentile50.00%Participants3EvidenceCEvaluatedSep 8, 2026
Rank03ModelACQwen2.5-Omni-7BAlibaba Cloud / Qwen TeamScore65.60%Percentile0.00%Participants3EvidenceCEvaluatedSep 8, 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?

Inkling-Small is currently ranked first with 77.00%.

What are the top three models on MMAU?

The current leaders are Inkling-Small (77.00%), Nova 2 Omni (75.30%), and Qwen2.5-Omni-7B (65.60%).

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?

3 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 #1Inkling-Small77.00%
Rank #2Nova 2 Omni75.30%
Rank #3Qwen2.5-Omni-7B65.60%

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
    TM
    Inkling-SmallThinking Machines Lab
    Score
    77.00%

    Strengths

    • Ranks #1 of 3 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MMAU, not total model capability
  2. 02
    AM
    Nova 2 OmniAmazon
    Score
    75.30%

    Strengths

    • Ranks #2 of 3 compared models
    • 50th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures MMAU, not total model capability
  3. 03
    AC
    Alibaba Cloud / Qwen Team
    Score
    65.60%
    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 77.00%. 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.

Qwen2.5-Omni-7B
Benchmark rank #1Inkling-Small77.00%
Benchmark rank #2Nova 2 Omni75.30%
Benchmark rank #3Qwen2.5-Omni-7B65.60% · $0.10 input / $0.40 output per 1M tokens