PersonalHomeBench - Counterfactual Reasoning (Agentic): leaderboard

Metric: Accuracy (%) on 2,000 counterfactual questions, macro-averaged over the variants that change and that keep the ground-truth answer (exact match, else a Gemini 2.5 Pro semantic-equivalence judge), 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 January 2027. 11 models tracked.

Top models

#ModelScore
1GPT-OSS-20B63.65
2GPT-OSS-20B (High)63.25
3GPT-OSS-20B (Low)63.1
4GPT-462.9
5GPT-4o60.94
6nemotron-3-nano-30B-a3B57.95
7Qwen 3 4B (Non-reasoning)45.45
8Qwen 3 4B (Reasoning)36.35

Interactive version: theaggregate.ai/benchmark?slug=personalhomebench-counterfactual-reasoning-agentic · How It Works · Data refreshed daily, snapshot 2026-10-07.