IHBench - Recovery Quality: leaderboard

IHBench (Salimi et al., 2026) interrupts spoken-dialogue models mid-utterance at 428 scripted points in 45 structured-workflow voice conversations across ten domains, with the user's turn given as audio; a GPT-5.4-mini judge (high reasoning) scores the model's next turn, averaged over three epochs. Score is the percentage of interruptions where the turn meets every type-specific recovery criterion (handling the cut-in without restarting, repeating or losing its place); higher is better.

Metric: Recovery pass rate (%; share of 428 interruption points meeting every type-specific recovery criterion, GPT-5.4-mini judge (high reasoning), audio input, mean of three epochs). Source: arxiv.org. Saturation forecast: Around February 2027. 27 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Flash (Thinking)70.4#452 (Gemini 2.5 Flash)
2Gemini 2.5 Pro69.5#262
3Gemini 2.5 Flash (Non-reasoning)67.9#452 (Gemini 2.5 Flash)
4Qwen3 Omni 30B A3B Instruct67.6#902
5Gemini 3.1 Pro (Preview)64.9#91
6Voxtral-Small-24B-250759.3#1291
7Gemma 4 12B (Reasoning)55#927 (Gemma 4 12B)
8Gemma 4 12B (Non-reasoning)54#927 (Gemma 4 12B)
9Qwen2.5-Omni-7B53#1797
10Phi-4 Multimodal Instruct46.5#3914

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

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