GeoMMBench - GIS: leaderboard

Metric: Micro-averaged accuracy (%) on the geographic information system discipline questions of the GeoMMBench test set (expert-written multimodal geoscience and remote sensing multiple-choice and numeric questions, zero-shot, LMMs-Eval, rule-based answer extraction, invalid outputs counted wrong); higher is better. Source: arxiv.org. Saturation forecast: Around May 2027. 36 models tracked.

Top models

#ModelScore
1Gemini 2.0 Flash86.4
2Gemini 1.5 Pro86.4
3GPT-4o77.3
4Qwen 2.5 VL 7B72.7
5Qwen 2 VL 7B70.5
6O165.9
7Phi-4 Multimodal Instruct61.4
8Qwen 2 VL 2B59.1
9GPT-554.5

Interactive version: theaggregate.ai/benchmark?slug=geommbench-gis · How It Works · Data refreshed daily, snapshot 2026-10-07.