SFI-Bench (Web Search): leaderboard

Metric: Macro-average accuracy (%) over the six tasks (global and conditional counting, cross-view path reasoning, layout inference, functional association, operation planning, troubleshooting), four-option multiple choice on egocentric indoor videos (ARKitScenes and ScanNet++ scans), zero-shot with the same prompt templates, models at their default configurations; the first four tasks are answered directly and, for the last two, the model may first retrieve external knowledge such as user manuals through its web search tool; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 8 models tracked.

Top models

#ModelScore
1Gemini 3.1 Pro (Preview)73.8
2GPT-5.4 (High)72.1
3GPT-569.4
4Gemini 3.1 Flash Lite69.4
5GPT-5.467.3
6Gemini 2.5 Pro67.1
7O4 Mini66.8
8Gemini 2.5 Flash55.3

Interactive version: theaggregate.ai/benchmark?slug=sfi-bench-web-search · How It Works · Data refreshed daily, snapshot 2026-10-07.