SMH-Bench (Interactive Agent) - Personalized Memory: leaderboard

SMH-Bench (2026) category on requests that depend on remembered user preferences, 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 Personalized Memory (TC6, 100 requests that need short- or long-term user preferences); 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)86#94
2Claude Sonnet 4.680#161
3Qwen 3.5 397B A17B77#246
4GPT-5.474#123
5DeepSeek V3.2 (Thinking)74#406 (DeepSeek V3.2)
6Claude Haiku 4.573#568
7GPT-5.4 Mini69#389
8Qwen 3.5 9B65#803
9Qwen 3.5 Plus65#232
10Qwen 3.5 4B57#1175
11GLM-551#260
12MiniMax-M2.727#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-personalized-memory · How It Works · Data refreshed daily, snapshot 2026-11-13.