IHBench - Recovery Quality - Topic Switch: 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 73 interruptions that switch topic, scored by the percentage of turns meeting every recovery criterion; higher is better.

Metric: Recovery pass rate (%; 73 topic switches, 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 3.1 Pro (Preview)82#91
2Qwen3 Omni 30B A3B Instruct80#902
3Gemini 2.5 Flash (Thinking)78#452 (Gemini 2.5 Flash)
4Gemini 2.5 Pro77#262
5Gemini 2.5 Flash (Non-reasoning)77#452 (Gemini 2.5 Flash)
6Voxtral-Small-24B-250770#1291
7Gemma 4 12B (Reasoning)70#927 (Gemma 4 12B)
8Gemma 4 12B (Non-reasoning)67#927 (Gemma 4 12B)
9Qwen2.5-Omni-7B66#1797
10Phi-4 Multimodal Instruct63#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-topic-switch · How It Works · Data refreshed daily, snapshot 2026-11-12.