SMH-Bench (Interactive Agent) - Ambiguous Intent: leaderboard
Metric: Success rate (%) on Ambiguous Intent (TC3, 150 subjective complaints, scene-level goals and slot-missing requests, acting or asking for clarification as appropriate); Environment-Interactive Agent: a ReAct loop that starts from partial observability and queries and controls the HomeEnv simulator through tools under a call budget; final home state checked against the goal with untouched devices preserved; clarification and query answers judged by GPT-5; higher is better. Source: arxiv.org. Saturation forecast: Estimated already saturated. 13 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 92 |
| 2 | Claude Sonnet 4.6 | 91.3 |
| 3 | Qwen 3.5 397B A17B | 86.7 |
| 4 | GPT-5.4 Mini | 86 |
| 5 | Claude Haiku 4.5 | 85.3 |
| 6 | DeepSeek V3.2 (Thinking) | 85.3 |
| 7 | GPT-5.4 | 84.7 |
| 8 | GLM-5 | 83.3 |
| 9 | Qwen 3.5 Plus | 76.7 |
| 10 | Qwen 3.5 4B | 72 |
| 11 | Qwen 3.5 9B | 69.3 |
| 12 | MiniMax-M2.7 | 52 |
Interactive version: theaggregate.ai/benchmark?slug=smh-bench-interactive-agent-ambiguous-intent · How It Works · Data refreshed daily, snapshot 2026-09-29.