EuraGovExam - Geography: leaderboard

Metric: Accuracy (%) on the geography 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
1Gemini 2.5 Pro74.03#145
2O374.03#121
3GPT-570.72#91
4O4 Mini64.09#172
5Gemini 3 Pro (Preview)62.98#64
6GPT-5.259.12#105
7Gemini 3 Flash (Preview)57.46#78
8Claude Sonnet 455.8#194
9Gemini 2.5 Flash54.7#237
10GPT-5 Nano51.38#415
11GPT-4.148.07#240
12GPT-4o37.02#333
13GPT-4.1 Mini37.02#346
14Qwen 2.5 VL 7B Instruct30.39#643
15Qwen 2 VL 7B Instruct30.39#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-geography · How It Works · Data refreshed daily, snapshot 2026-10-11.