PitchBench - Pitch under Audio Effects: leaderboard

Pitch hearing in audio-language models (PitchBench, Liessens Dujardin et al., 2026): naming the pitch of a tone after filtering, bitcrushing, soft clipping, reverb or chorus (240 stimuli), with synthetic stimuli. A pitch answer counts when any of MIDI number, scientific pitch notation or frequency is right; accuracy in percent, higher is better.

Metric: Accuracy (%; name the pitch after filtering, bitcrushing, saturation, reverb or chorus). Source: arxiv.org. Saturation forecast: Around 2029. 6 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 3.5 Omni Plus86.7#237
2Qwen3.5 Omni Flash55.8#548
3Gemini 3.1 Pro (Preview)21.3#91
4Gemini 3 Flash19.6#159

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=pitchbench-pitch-under-audio-effects · How It Works · Data refreshed daily, snapshot 2026-11-12.