GPSBench (Applied) - Terrain Classification: leaderboard

Metric: Score (%) on the terrain classification (urban, coastal, mountain, desert, forest or agricultural terrain at a coordinate) task of GPSBench's Applied Track (geographic reasoning that combines coordinates or place names with world knowledge); 1,020 test samples; zero-shot from the model's own knowledge, no tools, no chain-of-thought or few-shot prompting, temperature 0; choice tasks score accuracy and numerical tasks one minus the mean absolute percentage error; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 14 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.1 (Low)72.6#131 (GPT-5.1)
2GPT-4.171.3#240
3Qwen 3 235B A22B 2507 Instruct71.2#291
4GPT-5 Mini (Low)70.6#176 (GPT-5 Mini)
5GPT-4.1 Mini70.4#346
6Mistral Large 370.3#388
7Gemini 2.5 Pro69.2#145
8Claude Haiku 4.568.1#271
9GPT-5 Nano (Low)67.4#415 (GPT-5 Nano)
10Qwen 3 30B A3B 2507 Instruct57.9#464
11Qwen 3 14B (Non-reasoning)52.4#524 (Qwen 3 14B)
12Mistral Small 349.3#616
13Qwen 3 8B (Non-reasoning)48.6#667 (Qwen 3 8B)
14Gemini 2.5 Flash (Non-reasoning)20.7#237 (Gemini 2.5 Flash)

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

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