EuraGovExam - Economics: leaderboard

Metric: Accuracy (%) on the economics 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
1GPT-589.37#91
2Gemini 2.5 Pro88.29#145
3O387.2#121
4O4 Mini82.86#172
5GPT-5.271.8#105
6GPT-5 Nano69.2#415
7Gemini 3 Flash (Preview)65.08#78
8Gemini 3 Pro (Preview)62.04#64
9Claude Sonnet 456.83#194
10Gemini 2.5 Flash55.97#237
11GPT-4.1 Mini51.84#346
12GPT-4.146.42#240
13GPT-4o31.89#333
14Qwen 2 VL 7B Instruct26.03#816
15Qwen 2.5 VL 7B Instruct25.16#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-economics · How It Works · Data refreshed daily, snapshot 2026-10-11.