GeoHeight-Bench - Pixel Information: leaderboard

Metric: Text accuracy (%) on the Pixel Information task (the model gives the land-cover category, height and spatial scale at a given location), on GeoHeight-Bench (object height above ground from nDSM products; GeoNRW, FLAIR and RSMSS aerial tiles); zero-shot on RGB imagery only; Qwen2.5-1.5B extracts template answers, which count when continuous values fall within 20 percent relative error, and Qwen2.5-7B judges open-ended answers for semantic and factual consistency; higher is better. Source: arxiv.org. Saturation forecast: Around 2029. 13 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Flash11.45#237
2Pixtral-12B7.77#795
3GPT-4o7.02#333
4InternVL2-8B3.9#826

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

Interactive version: theaggregate.ai/benchmark?slug=geoheight-bench-pixel-information · How It Works · Data refreshed daily, snapshot 2026-10-11.