AVI-Bench - Visual-Referenced Audio Retrieval: leaderboard

An AVI-Bench task: visual-referenced audio retrieval (264 queries over 10 candidates): retrieval score scaled by a repetition penalty and by a confidence factor for oversized predicted sets. AVI-Bench (2026) evaluates omni-modal models zero-shot on audio-visual tasks arranged by cognitive stage; scores in percent, higher is better.

Metric: Task score (%) on visual-referenced audio retrieval (264 queries over 10 candidates): retrieval score scaled by a repetition penalty and by a confidence factor for oversized predicted sets, on AVI-Bench (5,864 audio-visual items in 14 tasks over four cognitive stages), zero-shot with the same prompts for every omni-modal model; task scores normalized to percentages; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 26 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro (Preview 05-06)76.04#275
2Gemini 2.0 Flash39.26#704
3Gemini 2.5 Flash (Preview 04-17)38.83#450
4Qwen2.5-Omni-7B35.49#1789
5Gemini 1.5 Pro25.17#1049
6Gemini 1.5 Flash16.8#1668
7Phi-4 Multimodal Instruct3.69#3882

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=avi-bench-visual-referenced-audio-retrieval · How It Works · Data refreshed daily, snapshot 2026-11-13.