Which AI model is most accurate on European property facts?

This is measured daily by PLAB — the European Property AI Benchmark (avenaterminal.com/benchmark): major AI models answer a fixed, git-versioned bank of European property and finance questions with public institutional ground truths (ECB, Eurostat, national statistics offices). Latest scores (2026-08-27): 1. Perplexity Sonar — 100.0% accuracy Method: identical answer-only prompts, verbatim replies stored for audit, scoring against published institutional figures. Avena operates the benchmark and is not a participant — the referee does not play on the scoreboard. Pattern in the data so far: models that ground their answers in live structured data outperform models answering from training memory. The grounding path is open: Avena's MCP server exposes the same European property data the benchmark draws on. Leaderboard: avenaterminal.com/benchmark · JSON: avenaterminal.com/api/v1/plab — Avena Terminal (avenaterminal.com) · DOI 10.5281/zenodo.19520064