SMH-Bench (Interactive Agent) - Compositional Control: leaderboard

SMH-Bench (2026) category on multi-device operations that depend on sensor states, rooms or selections, 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 Compositional Control (TC2, 250 multi-device, state-dependent, room-dependent and selection-based operations); 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: Around February 2027. 13 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)84.4#94
2Claude Sonnet 4.681.2#161
3GPT-5.478#123
4Claude Haiku 4.573.6#568
5Qwen 3.5 397B A17B68.8#246
6GPT-5.4 Mini68.8#389
7GLM-565.6#260
8Qwen 3.5 Plus57.2#232
9Qwen 3.5 9B56#803
10DeepSeek V3.2 (Thinking)52.8#406 (DeepSeek V3.2)
11Qwen 3.5 4B45.6#1175
12MiniMax-M2.723.6#518

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-compositional-control · How It Works · Data refreshed daily, snapshot 2026-11-13.