Plan2Map - Localization Accuracy: leaderboard
Localization accuracy on Plan2Map (2026): the share of cases whose predicted boundary centroid lies within 10 percent of the reference boundary Feret diameter, in percent; higher is better. Frontier vision-language models predict GeoJSON directly from the planning document without tools, on a 40-case stratified subset.
Metric: Localization accuracy (%): share of cases whose centroid error is at most 10 percent of the reference boundary Feret diameter (Acc@0.1D), direct VLM-to-GeoJSON prediction from the planning document with no tool access, provider default temperature 1, on the paper 40-case stratified subset of the 208 UK planning records; higher is better. Source: arxiv.org. Saturation forecast: Around 2029. 4 models tracked.
Top models
| # | Model | Score | Overall rank |
|---|---|---|---|
| 1 | GPT-5.5 Pro | 10 | #34 |
| 2 | Gemini 3.1 Pro (Preview) | 7.5 | #94 |
| 3 | Gemini 3 Flash | 2.5 | #164 |
| 4 | Claude Opus 4.7 | 0 | #79 |
No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.
Interactive version: theaggregate.ai/benchmark?slug=plan2map-localization-accuracy · How It Works · Data refreshed daily, snapshot 2026-11-13.