reasoning benchmark
Big Bench Audio is an audio reasoning benchmark adapted from a subset of Big Bench Hard, with text questions converted to spoken audio. It evaluates the reasoning ability of speech-to-speech and audio language models on tasks delivered as audio input, with accuracy scored by an independent evaluation (Artificial Analysis).
Updated Aug 17, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAM | Score87.0% | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis big bench audio 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.
Selection summary
Nova 2 Sonic currently leads Big Bench Audio with 87.0%. 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 Big Bench Audio measures and how its scores work.
Big Bench Audio is an audio reasoning benchmark adapted from a subset of Big Bench Hard, with text questions converted to spoken audio. It evaluates the reasoning ability of speech-to-speech and audio language models on tasks delivered as audio input, with accuracy scored by an independent evaluation (Artificial Analysis).
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about Big Bench Audio.
Nova 2 Sonic is currently ranked first with 87.0%.
Big Bench Audio is an audio reasoning benchmark adapted from a subset of Big Bench Hard, with text questions converted to spoken audio. It evaluates the reasoning ability of speech-to-speech and audio language models on tasks delivered as audio input, with accuracy scored by an independent evaluation (Artificial Analysis).
Yes. Higher values rank better for this benchmark.
1 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.