Auto57%Harbor: pendingAgentic / Tool UseCoding

BrickBench

BrickBench: Evaluating Agentic Brick Design

A benchmark of 300 text prompts for agentic LEGO-set design, evaluating physical validity, semantic alignment, and design quality across three complexity settings.

How to run

ltb · brickbench
$ npm i -g lettokenburn-cli
$ ltb bench info brickbench

External harness. No Harbor adapter has been generated for this benchmark yet. `ltb bench info` prints the known links.

Runs happen on your machine with your own subscription; only the score summary is pushed. CLI docs

Scores

11 sourced entries
HarnessSourceConfidenceLink
GPT-6 Astra1297.0N/AIndependentmediumOct 8, 2026arxiv.org
GPT-6.1 Sol1293.0N/AIndependentmediumOct 8, 2026arxiv.org
Claude Opus 5.51249.0N/AIndependentmediumOct 8, 2026arxiv.org
Claude Opus 51101.0N/AIndependentmediumOct 8, 2026arxiv.org
Qwen3.8 Flash1048.0N/AIndependentmediumOct 8, 2026arxiv.org
GPT-5.6 Sol1015.0N/AIndependentmediumOct 8, 2026arxiv.org
Gemini 3.8 Flash1014.0N/AIndependentmediumOct 8, 2026arxiv.org
DeepSeek V4.1 Flash1006.0N/AIndependentmediumOct 8, 2026arxiv.org
GPT-5.6 Luna898.0N/AIndependentmediumOct 8, 2026arxiv.org
Muse Spark 1.3868.0N/AIndependentmediumOct 8, 2026arxiv.org
GLM-5.3 Flash752.0N/AIndependentmediumOct 8, 2026arxiv.org

Every number links to where it was published. Low-confidence rows are muted and need per-cell verification.

Reproduced by the community

All runs
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About

BrickBench contains 300 prompts across Model, Set, and Alt-Build settings. It uses the BrickAgent environment to enable coding agents to construct and validate LEGO assemblies programmatically.

Scoring includes physical validity (connections, collisions, stability), semantic alignment (VQA), and design quality (ELO from pairwise judgments). Leading agents achieve high validity but lag behind human design quality.