SMH-Bench (Interactive Agent) - Multi-Turn Context: leaderboard

SMH-Bench (2026) category on follow-up turns that inherit, revise or replace earlier operations, 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 Context-Aware Multi-turn Interaction (TC5, 200 turns that inherit, revise or replace earlier 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)88.5#94
2GPT-5.486.5#123
3Claude Sonnet 4.685#161
4DeepSeek V3.2 (Thinking)85#406 (DeepSeek V3.2)
5Claude Haiku 4.581#568
6GPT-5.4 Mini81#389
7Qwen 3.5 Plus79.5#232
8GLM-576#260
9Qwen 3.5 397B A17B74.5#246
10Qwen 3.5 9B74#803
11Qwen 3.5 4B65#1175
12MiniMax-M2.741#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-multi-turn-context · How It Works · Data refreshed daily, snapshot 2026-11-13.