FMSU-Bench - Gender (English): leaderboard

Metric: Accuracy (%) of identifying the gender of the speaker (GEN), 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: Estimated already saturated. 10 models tracked.

Top models

#ModelScore
1Qwen2.5-Omni-7B99.3
2Gemini 2.5 Flash93.6
3Gemini 3 Flash88.3
4Gemini 3.1 Pro (Preview)85.3

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