PEC-Home (RAG) - Multi-User Level 1: leaderboard

Smart-home command interpretation in PEC-Home (Shan et al., 2026), multi-user scenario, where household members expect different settings: complete commands (ellipsis level 1 of 4), with the model given the three most relevant earlier commands and responses retrieved from the dialogue history. Execution accuracy in percent, the share of commands mapped to the intended device operations; higher is better.

Metric: Execution accuracy (%; 1,068 smart-home commands at ellipsis level 1 of 4 (complete commands), functionally correct device operations; dialogue history retrieved from a vector store, top-3). Source: arxiv.org. Saturation forecast: Estimated already saturated. 10 models tracked.

Top models

#ModelScoreOverall rank
1Qwen 2.5 72B Instruct95.51#1093
2DeepSeek V394.1#705
3GPT-4o93.07#741
4Gemma 2 9B (IT)92.6#2275
5Gemma 2 27B (IT)91.95#1815
6Qwen 2.5 7B Instruct91.76#2583
7Qwen 2.5 32B Instruct89.14#1216
8Mistral 7B Instruct (v0.3)88.76#6698
9Qwen 2.5 14B Instruct88.11#1745
10Llama 3.1 8B Instruct73.97#4277

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=pec-home-rag-multi-user-level-1 · How It Works · Data refreshed daily, snapshot 2026-11-12.