PersonalHomeBench - Feature Recommendation (Agentic): leaderboard
Metric: MAP@1 (times 100) on 1,000 feature recommendation tasks (rank appliance features from API-level inventories by contextual relevance), over the text-based split of PersonalHomeBench (1,100 generated, manually reviewed households with persona-based occupants and appliances), temperature 0, in the agentic setting (the model must gather household information and act through the benchmark's PersonalHomeTools toolbox, up to 15 turns); each model at its stated reasoning mode; higher is better. Source: arxiv.org. Saturation forecast: Around 2030. 11 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GPT-4 | 24.7 |
| 2 | nemotron-3-nano-30B-a3B | 23.9 |
| 3 | GPT-OSS-20B (High) | 22.9 |
| 4 | Qwen 3 4B (Reasoning) | 22.9 |
| 5 | GPT-4o | 22.7 |
| 6 | GPT-OSS-20B | 21.7 |
| 7 | Qwen 3 4B (Non-reasoning) | 21.6 |
| 8 | GPT-OSS-20B (Low) | 21.1 |
Interactive version: theaggregate.ai/benchmark?slug=personalhomebench-feature-recommendation-agentic · How It Works · Data refreshed daily, snapshot 2026-10-07.