FMSU-Bench - Pitch (English): leaderboard

Metric: Accuracy (%) of identifying the pitch characteristics (PIT), 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 Flash80.9
2Gemini 3 Flash77.7
3Gemini 3.1 Pro (Preview)74.6
4Qwen2.5-Omni-7B45.5

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