FMSU-Bench - Voice Texture (English): leaderboard

Metric: Accuracy (%) of identifying the physical texture of the voice (VT), on the FMSU-Bench English subset (500 to 1,000 manually verified items per task, from audiovisual sources), multiple-choice questions whose distractors include fine-grained acoustic confusions and text-only semantic traps; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 10 models tracked.

Top models

#ModelScore
1Gemini 2.5 Flash81.4
2Gemini 3 Flash80.2
3Gemini 3.1 Pro (Preview)76.4
4Qwen2.5-Omni-7B39

Interactive version: theaggregate.ai/benchmark?slug=fmsu-bench-voice-texture-english · How It Works · Data refreshed daily, snapshot 2026-10-07.