SMH-Bench (Interactive Agent) - State Query: leaderboard

SMH-Bench (2026) category on read-only questions that inspect and aggregate the current home state, scored in the executable HomeEnv smart-home simulator. In the Environment-Interactive Agent setting the model starts with partial observability and must query and control the home through tools in a ReAct loop. The board is the success rate in percent; higher is better.

Metric: Success rate (%) on Environment-Grounded Query (TC7, 100 non-mutating inspection and aggregation questions, GPT-5 judged); 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

#ModelScoreOverall rank
1DeepSeek V3.2 (Thinking)94#406 (DeepSeek V3.2)
2Claude Sonnet 4.692#161
3Qwen 3.5 397B A17B92#246
4GPT-5.491#123
5MiniMax-M2.790#518
6Gemini 3.1 Pro (Preview)88#94
7Claude Haiku 4.587#568
8GLM-587#260
9Qwen 3.5 Plus87#232
10GPT-5.4 Mini86#389
11Qwen 3.5 9B81#803
12Qwen 3.5 4B76#1175

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

Interactive version: theaggregate.ai/benchmark?slug=smh-bench-interactive-agent-state-query · How It Works · Data refreshed daily, snapshot 2026-11-13.