FMSU-Bench - Tone (English): leaderboard
Metric: Accuracy (%) of identifying the tonal characteristics of the voice (TON), 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 March 2028. 10 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 2.5 Flash | 58.2 |
| 2 | Gemini 3 Flash | 56.6 |
| 3 | Gemini 3.1 Pro (Preview) | 55.6 |
| 4 | Qwen2.5-Omni-7B | 40.7 |
Interactive version: theaggregate.ai/benchmark?slug=fmsu-bench-tone-english · How It Works · Data refreshed daily, snapshot 2026-10-07.