AVI-Bench - Audio-Referenced Visual Retrieval: leaderboard

An AVI-Bench task: audio-referenced visual 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 audio-referenced visual 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)74.42#275
2Gemini 2.5 Flash (Preview 04-17)34.57#450
3Gemini 2.0 Flash30.75#704
4Gemini 1.5 Flash27.72#1668
5Qwen2.5-Omni-7B26.32#1789
6Gemini 1.5 Pro25.78#1049
7Phi-4 Multimodal Instruct23.74#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-audio-referenced-visual-retrieval · How It Works · Data refreshed daily, snapshot 2026-11-13.