IHBench - Recovery Quality - Correction: 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. This board is the 25 interruptions in which the user corrects earlier information, scored by the percentage of turns meeting every recovery criterion; higher is better.

Metric: Recovery pass rate (%; 25 user corrections, every type-specific criterion met, 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 Pro65#262
2Gemini 2.5 Flash (Thinking)63#452 (Gemini 2.5 Flash)
3Gemini 2.5 Flash (Non-reasoning)61#452 (Gemini 2.5 Flash)
4Gemini 3.1 Pro (Preview)57#91
5Qwen3 Omni 30B A3B Instruct55#902
6Voxtral-Small-24B-250749#1291
7Gemma 4 12B (Non-reasoning)48#927 (Gemma 4 12B)
8Gemma 4 12B (Reasoning)44#927 (Gemma 4 12B)
9Qwen2.5-Omni-7B33#1797
10Phi-4 Multimodal Instruct28#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-correction · How It Works · Data refreshed daily, snapshot 2026-11-12.