GPSBench (Applied) - Spatial Patterns: leaderboard

Metric: Score (%) on the spatial patterns (pick the geographic outlier among five named cities) 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: Estimated already saturated. 14 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro95.4#145
2GPT-5 Mini (Low)95.2#176 (GPT-5 Mini)
3GPT-4.194.2#240
4GPT-5.1 (Low)93.7#131 (GPT-5.1)
5Qwen 3 235B A22B 2507 Instruct92.6#291
6GPT-4.1 Mini92.5#346
7Gemini 2.5 Flash (Non-reasoning)92.1#237 (Gemini 2.5 Flash)
8Mistral Large 390.1#388
9Claude Haiku 4.587.4#271
10Mistral Small 385.9#616
11GPT-5 Nano (Low)59.4#415 (GPT-5 Nano)
12Qwen 3 30B A3B 2507 Instruct8.1#464
13Qwen 3 14B (Non-reasoning)5.3#524 (Qwen 3 14B)
14Qwen 3 8B (Non-reasoning)3.8#667 (Qwen 3 8B)

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-spatial-patterns · How It Works · Data refreshed daily, snapshot 2026-10-11.