Pix2Fact (Expert Crop, No 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, no web search (condition C3); higher is better. Source: arxiv.org. Saturation forecast: Around May 2028. 10 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 3.1 Pro (Preview) | 21 | #54 |
| 2 | Gemini 2.5 Pro | 18.6 | #145 |
| 3 | Claude Opus 4.7 | 16.3 | #45 |
| 4 | GPT-5.4 | 14.5 | #76 |
| 5 | Seed 2.0 Pro | 12.5 | #111 |
| 6 | Grok 4.20 | 7.3 | #167 |
| 7 | GLM-4.6V | 6.6 | #309 |
| 8 | Gemma 4 31B (IT) | 6.2 | #171 |
| 9 | Qwen 3.6 27B | 4.9 | #163 |
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-no-search · How It Works · Data refreshed daily, snapshot 2026-10-11.