Auto57%Harbor: pendingAgentic / Tool UseKnowledge & Reasoning

OfficeTown Bench

A benchmark with 406 tasks and 4,836 criteria from 23 simulated organizations across 8 domains, measuring agent performance on professional work.

How to run

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

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

13 sourced entries
HarnessSourceConfidenceLink
GPT-6 Astra74.4N/AIndependentmediumOct 16, 2026arxiv.org
Grok-4.758.4N/AIndependentmediumOct 16, 2026arxiv.org
Claude Opus 5.550.7N/AIndependentmediumOct 16, 2026arxiv.org
GPT-5.6-terra39.4N/AIndependentmediumOct 16, 2026arxiv.org
GPT-5.6 Sol33.5N/AIndependentmediumOct 16, 2026arxiv.org
GPT-5.6 Luna32.5N/AIndependentmediumOct 16, 2026arxiv.org
GPT-5.430.5N/AIndependentmediumOct 16, 2026arxiv.org
GPT-5.2-chat21.2N/AIndependentmediumOct 16, 2026arxiv.org
DeepSeek V4 Pro18.5N/AIndependentmediumOct 16, 2026arxiv.org
DeepSeek V4 Flash13.5N/AIndependentmediumOct 16, 2026arxiv.org
Grok-4.38.1N/AIndependentmediumOct 16, 2026arxiv.org
Kimi K2.54.9N/AIndependentmediumOct 16, 2026arxiv.org
Mistral Large 31.2N/AIndependentmediumOct 16, 2026arxiv.org

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

Reproduced by the community

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About

Constructs executable resources from generative organizational simulations, incorporating domain-expert feedback into task and rubric refinement.

Evaluates frontier models using rubric scores, revealing substantial headroom and showing improvements via supervised fine-tuning.