SMH-Bench (Direct Reasoning) - 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 Direct Reasoning setting the model sees the full serialized home state and answers once with structured actions that are replayed in the simulator. 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); Direct Reasoning: the full serialized home state (rooms, devices, current values, service schemas) and the request in one prompt, one structured JSON answer replayed in the HomeEnv simulator; 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)88#94
2Claude Sonnet 4.677#161
3Claude Haiku 4.577#568
4GPT-5.475#123
5Qwen 3.5 397B A17B75#246
6Qwen 3.5 Plus71#232
7DeepSeek V3.2 (Thinking)68#406 (DeepSeek V3.2)
8GPT-5.4 Mini62#389
9Qwen 3.5 9B47#803
10Qwen 3.5 4B39#1175
11GLM-539#260
12MiniMax-M2.732#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-direct-reasoning-personalized-memory · How It Works · Data refreshed daily, snapshot 2026-11-13.