BuiltBench / LLM benchmark for the built environment
Which AI actually understands buildings?
Models answer questions about sites, plans, climate and codes. Geometry, solar and simulation engines check every answer.
§1 Leaderboard
Scores from verified answers, updated with every run.
Ran BuiltBench on your model or agent? Send us the evaluation log and we will verify it and add it to the board.
Add your modelWhat the pilot contains
USite & Urban100
BBuilding102
CClimate & Performance100
RRegulation & Compliance100
L2L3L4One square per question
Family-balanced track scores; headline is the mean of the four tracks; 95% intervals from a 10,000-resample cluster bootstrap; models whose paired difference interval includes zero share a rank band.
§2 What it tests
Four tracks, from the parcel to the clause.
- Track U
Site & Urban
How much floor area does this parcel allow, and which limit controls it?
- Track B
Building
What is the shortest route from Bedroom 1 to the exit?
- Track C
Climate & Performance
How deep must the overhang be to shade this window at noon?
- Track R
Regulation & Compliance
Does this dwelling meet the travel distance rule?
§3 Method
An answer counts only when the numbers check out.
Computed, not judged
Verifiers recompute every answer. No model grades another.
Same building, any file
Rotate, mirror or rename the plan: the answer must not change.
Honest uncertainty
Every score has an interval. Statistical ties share a rank.
Hard to memorise
Rules ship with the question, and the private set is regenerated.
§4 Open benchmark
The method is public. The test set stays private.
Code under Apache-2.0, data under CC BY 4.0.
§5 BuiltBench for Firms
Know which LLM your firm should subscribe to, and switch every quarter.
Your projects
Private questions built from your own models.
Your codes and tools
Your standards, and the assistants your teams already use.
A call every quarter
A ranking for your priorities: keep or switch.
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