multimodal benchmark
Blueprint-Bench 2 is a multimodal benchmark for evaluating models on architectural blueprints and other structured spatial documents.
Updated Sep 5, 2026
Higher score ranks better on this benchmark.
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelAN | Score38.60% | Percentile100.00% | Participants2 | EvidenceC | Evaluated |
| Rank02 | ModelGO | Score33.60% | Percentile0.00% | Participants2 | EvidenceC | Evaluated |
The leading models and scores on this benchmark.
A closer view of the leading scores on this benchmark.
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
What Blueprint-Bench 2 measures and how its scores work.
Blueprint-Bench 2 is an agentic spatial reasoning benchmark that evaluates models on architectural blueprints and other structured spatial documents.
It measures a model's ability to understand, plan, and reason over these documents, with results reported as a normalized Score in ratio units.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.
Common questions about Blueprint-Bench 2.
Claude Fable 5 is currently ranked first with 38.60%.
The current leaders are Claude Fable 5 (38.60%) and Gemini 3.5 Flash (33.60%).
Gemini 3.5 Flash has the lowest matched official input price at $1.5 input / $9.0 output per 1M tokens.
The fastest matched records are Gemini 3.5 Flash (210.94 tok/s via Google) and Claude Fable 5 (43.18 tok/s via Anthropic).
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.
It measures a model's ability to understand, plan, and reason over these documents, with results reported as a normalized Score in ratio units.
Yes. Higher values rank better for this benchmark.
2 model results are currently shown.
No. This benchmark is shown for reference but does not contribute to the overall score.
Ranking basisThis blueprint-bench 2 AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Claude Fable 5 currently leads Blueprint-Bench 2 with 38.60%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.