EuraGovExam - Physics: leaderboard

Metric: Accuracy (%) on the physics questions across the five regions; image-only: the model sees one scanned multiple-choice civil-service exam question in its original language and layout, with a fixed answer-format instruction and no OCR or tools; greedy decoding, one run; answers not in the required final-line format count as wrong; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 28 models tracked.

Top models

#ModelScoreOverall rank
1O4 Mini89.63#172
2GPT-587.96#91
3Gemini 2.5 Pro84.26#145
4O381.85#121
5GPT-5.278.52#105
6GPT-5 Nano73.52#415
7Gemini 3 Flash (Preview)63.52#78
8Gemini 2.5 Flash59.26#237
9GPT-4.1 Mini58.7#346
10GPT-4.154.63#240
11Claude Sonnet 451.67#194
12GPT-4o33.52#333
13Gemini 3 Pro (Preview)28.89#64
14Qwen 2.5 VL 7B Instruct25#643
15Qwen 2 VL 7B Instruct16.11#816

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

Interactive version: theaggregate.ai/benchmark?slug=euragovexam-physics · How It Works · Data refreshed daily, snapshot 2026-10-11.