SMH-Bench (Interactive Agent) - Automation Scheduling: leaderboard

SMH-Bench (2026) category on persistent time- or state-triggered automation rules, with trigger and action both verified, 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 Automated Task Scheduling (TC4, 150 time- or state-triggered rules, trigger and action both verified); 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
1Qwen 3.5 397B A17B69.3#246
2Claude Sonnet 4.668.7#161
3Gemini 3.1 Pro (Preview)64#94
4DeepSeek V3.2 (Thinking)64#406 (DeepSeek V3.2)
5GPT-5.4 Mini50.7#389
6GPT-5.449.3#123
7Claude Haiku 4.548#568
8GLM-542.7#260
9Qwen 3.5 Plus42.7#232
10MiniMax-M2.742#518
11Qwen 3.5 9B36#803
12Qwen 3.5 4B21.3#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-automation-scheduling · How It Works · Data refreshed daily, snapshot 2026-11-13.