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audio benchmark

GiantSteps Tempo Leaderboard

A dataset for tempo estimation in electronic dance music containing 664 2-minute audio previews from Beatport, annotated from user corrections for evaluating automatic tempo estimation algorithms.

Updated Aug 17, 2026

Models1
Model coverage1
MetricScore
EvidenceB

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GiantSteps Tempo Ranking

Higher score ranks better on this benchmark.

1 rows
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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen2.5-Omni-7BAlibaba Cloud / Qwen TeamScore88.0%Percentile100.0%Participants1EvidenceCEvaluatedAug 17, 2026

GiantSteps Tempo Highlights

The leading models and scores on this benchmark.

Rank #1Qwen2.5-Omni-7B88.0%

The Top AI Models for GiantSteps Tempo

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

Ranking basisThis giantsteps tempo 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.

  1. 01
    AC
    Qwen2.5-Omni-7BAlibaba Cloud / Qwen Team
    Score
    88.0%
    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 GiantSteps Tempo, not total model capability

Selection summary

Best AI Models for GiantSteps Tempo

Qwen2.5-Omni-7B currently leads GiantSteps Tempo with 88.0%. 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.

Benchmark rank #1Qwen2.5-Omni-7B88.0% · $0.10 input / $0.40 output per 1M tokens

What is GiantSteps Tempo?

What GiantSteps Tempo measures and how its scores work.

A dataset for tempo estimation in electronic dance music containing 664 2-minute audio previews from Beatport, annotated from user corrections for evaluating automatic tempo estimation algorithms.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
GiantSteps Tempo
Modality
audio
Primary category
audio
Score direction
higher
LLMBoard eligible
No
Evaluation key
giantsteps-tempo|llm-stats-current

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

FAQ

Common questions about GiantSteps Tempo.

Which model scores highest on GiantSteps Tempo?

Qwen2.5-Omni-7B is currently ranked first with 88.0%.

What does GiantSteps Tempo measure?

A dataset for tempo estimation in electronic dance music containing 664 2-minute audio previews from Beatport, annotated from user corrections for evaluating automatic tempo estimation algorithms.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

1 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.