Verified86%Harbor: pendingAbstract ReasoningKnowledge & Reasoning

Grid-Bench

Grid-Bench: Can LLMs Predict How Discrete Worlds Change?

Grid-Bench: Can LLMs Predict How Discrete Worlds Change?

How to run

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

6 sourced entries
HarnessSourceConfidenceLink
Claude Sonnet 590.5N/AIndependentmediumOct 15, 2026arxiv.org
GPT-5.6 Sol81.6N/AIndependentmediumOct 15, 2026arxiv.org
GLM-562.4N/AIndependentmediumOct 15, 2026arxiv.org
GPT-5.4-mini56.1N/AIndependentmediumOct 15, 2026arxiv.org
Kimi K2.555.6N/AIndependentmediumOct 15, 2026arxiv.org
MiniMax M2.552.4N/AIndependentmediumOct 15, 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

Grid-Bench: Can LLMs Predict How Discrete Worlds Change?

Grid-Bench evaluates complete spatial state prediction. Each instance gives a language model an initial grid, explicit transition rules, and an ordered event history as text. The model predicts the complete final grid. Executable rules provide exact reference states, allowing both complete answers and individual cell values to be checked. Use the companion code repository to simulate, generate, and…