AudioProcessBench - Existence Errors: leaderboard

AudioProcessBench (2026) tests audio and omni-modal models as critics of audio-grounded reasoning: given an audio question and a model-written reasoning chain split into steps, the critic marks each step correct or wrong; 3,872 annotated chains from MMAR, MMSU and MMAU-Pro questions. This board is the PRMScore on a 0 to 100 scale for detecting steps with existence errors, scored against correct steps only; higher is better.

Metric: Type-conditioned PRMScore (0-100): detection of steps with existence errors (claiming a sound is present or absent contrary to the audio) while keeping correct steps, other error types left out; 3,872 reasoning traces (23,497 steps, 41% erroneous) from six audio and omni models on MMAR, MMSU and MMAU-Pro questions, steps labelled by two LLM annotators with human review; few-shot critic prompt with three annotated example chains, temperature 0.7; higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 11 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Flash76.2#164
2Gemma 3n E4B56.4#3301
3Gemma 3n E2B53.6#6091
4Gemma 4 E4B51#2214
5Phi-4 Multimodal Instruct47.7#3882
6Gemma 4 E2B44.6#3892
7Qwen2.5-Omni-7B44.1#1789

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

Interactive version: theaggregate.ai/benchmark?slug=audioprocessbench-existence-errors · How It Works · Data refreshed daily, snapshot 2026-11-13.