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

audio benchmark

GiantSteps Tempo Leaderboard

GiantSteps Tempo is a dataset for evaluating automatic tempo estimation algorithms using 664 2-minute electronic dance music audio previews from Beatport.

Updated Sep 5, 2026

Models1
Model coverage1
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • Top models
  • About
  • FAQ

GiantSteps Tempo Ranking

Higher score ranks better on this benchmark.

1 row
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelACQwen2.5-Omni-7BAlibaba Cloud / Qwen TeamScore88.00%Percentile100.00%Participants1EvidenceCEvaluatedSep 8, 2026

GiantSteps Tempo Highlights

The leading models and scores on this benchmark.

Rank #1Qwen2.5-Omni-7B88.00%

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 original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    AC
    Alibaba Cloud / Qwen Team
    Score
    88.00%
    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 88.00%. 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.

What is GiantSteps Tempo?

What GiantSteps Tempo measures and how its scores work.

GiantSteps Tempo is an audio benchmark containing 664 2-minute electronic dance music audio previews annotated from user corrections.

It measures performance on automatic tempo estimation.

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
overall

LLM Stats. 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 88.00%.

What are the top three models on GiantSteps Tempo?

The current leaders are Qwen2.5-Omni-7B (88.00%).

Which GiantSteps Tempo 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 GiantSteps Tempo 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 GiantSteps Tempo measure?

It measures performance on automatic tempo estimation.

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.

Qwen2.5-Omni-7B
Benchmark rank #1Qwen2.5-Omni-7B88.00% · $0.10 input / $0.40 output per 1M tokens