Pix2Fact (Expert Crop, Web Search): leaderboard

Metric: Accuracy (%) on the 1,000 Pix2Fact questions (one per 4K-to-8K real-world photo across eight urban scene categories; each question needs a pixel-level visual clue and external knowledge, written and reviewed by PhD annotators), answers judged against the reference by a Gemini-3.1-Pro LLM judge; temperature 0 (GPT-5.4 at its fixed temperature 1), images resized to API or 15-megapixel limits where needed, and an API call failing three times counts as wrong; the expert-cropped visual ground truth (a tight crop of the target region) instead of the full image, web search allowed: proprietary models through their providers' native search tools, open-weight models through the authors' ReAct agent with a You.com search tool and a Jina Reader page-visit tool (128K context); Claude Opus 4.7 is not run with search (condition C4); higher is better. Source: arxiv.org. Saturation forecast: Around March 2027. 9 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3.1 Pro (Preview)51.7#54
2Gemini 2.5 Pro39#145
3Grok 4.2038.8#167
4GPT-5.432.9#76
5Qwen 3.6 27B26.2#163
6GLM-4.6V23.9#309
7Gemma 4 31B (IT)19.6#171
8Seed 2.0 Pro15.1#111

No result here: #3 Claude Opus 5.5, #5 GPT-6 Astra, #8 Claude Fable 5.1.

Interactive version: theaggregate.ai/benchmark?slug=pix2fact-expert-crop-web-search · How It Works · Data refreshed daily, snapshot 2026-10-11.