MSU-Bench - Speaker Identification Tier: leaderboard
Metric: Tier 1 accuracy (%), instance-level over the ten speaker grounding and identification tasks, four-option multiple choice on MSU-Bench (2,300 human-verified questions over Chinese and English multi-speaker conversations from telephone, meeting, podcast and movie audio), zero-shot with one instruction template requiring a single option letter, exact-match accuracy (x100); higher is better. Source: arxiv.org. Saturation forecast: Around December 2026. 9 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3 Flash | 73 |
| 2 | Gemini 2.5 Pro | 67 |
| 3 | Gemini 2.5 Flash | 64 |
Interactive version: theaggregate.ai/benchmark?slug=msu-bench-speaker-identification-tier · How It Works · Data refreshed daily, snapshot 2026-09-29.