EuraGovExam - Philosophy: leaderboard

Metric: Accuracy (%) on the philosophy 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: Estimated already saturated. 28 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro93.7#145
2GPT-592.91#91
3O390.55#121
4O4 Mini85.83#172
5Gemini 3 Flash (Preview)85.04#78
6GPT-5.279.53#105
7Gemini 3 Pro (Preview)78.74#64
8Gemini 2.5 Flash77.17#237
9GPT-5 Nano74.8#415
10GPT-4.1 Mini72.44#346
11Claude Sonnet 470.87#194
12GPT-4.155.12#240
13GPT-4o36.22#333
14Qwen 2 VL 7B Instruct33.86#816
15Qwen 2.5 VL 7B Instruct30.71#643

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

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