EuraGovExam - Earth Science: leaderboard
Metric: Accuracy (%) on the earth science 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
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | Gemini 2.5 Pro | 85.98 | #145 |
| 2 | O4 Mini | 75.7 | #172 |
| 3 | GPT-5 | 74.77 | #91 |
| 4 | O3 | 73.83 | #121 |
| 5 | GPT-5.2 | 61.68 | #105 |
| 6 | GPT-5 Nano | 50.47 | #415 |
| 7 | Gemini 2.5 Flash | 48.6 | #237 |
| 8 | Gemini 3 Flash (Preview) | 44.86 | #78 |
| 9 | Claude Sonnet 4 | 40.19 | #194 |
| 10 | Gemini 3 Pro (Preview) | 35.51 | #64 |
| 11 | GPT-4.1 Mini | 34.58 | #346 |
| 12 | GPT-4.1 | 33.64 | #240 |
| 13 | Qwen 2.5 VL 7B Instruct | 18.69 | #643 |
| 14 | GPT-4o | 17.76 | #333 |
| 15 | Qwen 2 VL 7B Instruct | 12.15 | #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-earth-science · How It Works · Data refreshed daily, snapshot 2026-10-11.