Plan2Map: leaderboard
Plan2Map (2026) tests document-grounded geospatial reconstruction: from a UK planning record alone (notice text, schedules, map plates and annotations) a model must produce the restricted area as a GeoJSON boundary. Scored by mean IoU with the held-out reference polygon times 100; higher is better. Frontier vision-language models predict GeoJSON directly from the planning document without tools, on a 40-case stratified subset.
Metric: Mean IoU (%) between the predicted and the held-out reference boundary polygons, times 100, 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 | Gemini 3.1 Pro (Preview) | 11.2 | #94 |
| 2 | GPT-5.5 Pro | 10.6 | #34 |
| 3 | Gemini 3 Flash | 5.3 | #164 |
| 4 | Claude Opus 4.7 | 4.4 | #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 · How It Works · Data refreshed daily, snapshot 2026-11-13.