IHBench - Recovery Quality - Impatient: 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 84 impatient interruptions, scored by the percentage of turns meeting every recovery criterion; higher is better.
Metric: Recovery pass rate (%; 84 impatient interruptions, every type-specific criterion met, GPT-5.4-mini judge (high reasoning), audio input, mean of three epochs). Source: arxiv.org. Saturation forecast: Around October 2027. 27 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 2.5 Pro | 69 | #262 |
| 2 | Gemini 3.1 Pro (Preview) | 66 | #91 |
| 3 | Qwen3 Omni 30B A3B Instruct | 63 | #902 |
| 4 | Gemini 2.5 Flash (Non-reasoning) | 58 | #452 (Gemini 2.5 Flash) |
| 5 | Gemini 2.5 Flash (Thinking) | 58 | #452 (Gemini 2.5 Flash) |
| 6 | Phi-4 Multimodal Instruct | 56 | #3914 |
| 7 | Qwen2.5-Omni-7B | 53 | #1797 |
| 8 | Voxtral-Small-24B-2507 | 53 | #1291 |
| 9 | Gemma 4 12B (Reasoning) | 52 | #927 (Gemma 4 12B) |
| 10 | Gemma 4 12B (Non-reasoning) | 51 | #927 (Gemma 4 12B) |
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-impatient · How It Works · Data refreshed daily, snapshot 2026-11-12.