VocalGrad - Roughness: leaderboard

VocalGrad (2026), 21,600 binary acoustic-change questions across nine transformations; case-insensitive whole-word direction parsing with exactly one direction required; invalid outputs fail. Gemini 3 Flash uses low thinking and temperature 1; MiMo temperature 0.3/top-p 0.95; other open models greedy where available. Main model runs use the complete dataset, not the differently sampled six-person human study. Accuracy (%); higher is better.

Metric: Accuracy (%). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 5 models tracked.

Top models

#ModelScoreOverall rank
1Step-Audio 2 mini49.9
2Kimi-Audio48
3Audio Flamingo 346.7
4Gemini 3 Flash (Low)44.8#99 (Gemini 3 Flash)
5MiMo-Audio43.2

Interactive version: theaggregate.ai/benchmark?slug=vocalgrad-roughness · How It Works · Data refreshed daily, snapshot 2026-10-20.