VideoFDB - Perception - Fluency: leaderboard

The fluency rubric of VideoFDB (Mazumdar et al., 2026) rates overall interaction quality: no talking over the user, no monologues and no nonsensical replies. 105 held-out test clips of seven nonverbal conversational dynamics, such as pauses, backchannels, laughter and interruptions, are streamed in real time to a full-duplex speech agent that also sees the user, at 1 FPS for most agents, and a gpt-4o judge scores each response from 0 to 5; higher is better.

Metric: gpt-4o judge score (0-5; the 105 held-out test clips of the seven nonverbal conversational dynamics scored for perception (237 clips of 11 dynamics in the full benchmark), streamed in real time; the judge reads the transcribed, time-stamped agent response with the clip annotations; overall interaction quality: talk-over, monologue, nonsensical responses; user audio and video streamed, video at 1 FPS (Mini-Omni2: one frame per user speech segment)). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 7 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Native Audio3.33
2Gemini 3.1 Flash Live3.15
3MiniCPM-o 4.53.03
4gpt-realtime-mini2.91
5gpt-realtime2.72
6VITA-1.51.19#3043
7Mini-Omni20.65

Interactive version: theaggregate.ai/benchmark?slug=videofdb-perception-fluency · How It Works · Data refreshed daily, snapshot 2026-11-12.