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Researchers introduced SpireBench, a benchmark that has 20 large language models play the complete game Slay the Spire, revealing that frontier models match average human players but fall behind experts as tasks lengthen.

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SpireBench: A New Benchmark for Long-Horizon Strategic Reasoning in Agentic Models

What is new in SpireBench?

FAQ

What is SpireBench?

A new evaluation benchmark that measures long-horizon strategic reasoning in agentic models by having them play the full game Slay the Spire at its highest difficulty, with tools to locate where and why agents fail.

How does SpireBench differ from other agent benchmarks?

Most agentic benchmarks are short and episodic, while SpireBench enforces long runs where early decisions compound into the final outcome, allowing stored knowledge, reasoning and luck to be separated.

Do models rely on prior knowledge of the game?

Yes. A comprehensive, self-consistent renaming of every game term showed that part of their performance rests on prior knowledge of the game rather than pure reasoning.

Is this benchmark useful for MENA AI teams?

Yes. It offers a reproducible framework for measuring agent readiness on long multi-step tasks such as supply chains and government services, where early decisions determine later outcomes.

Source: arXiv cs.AI

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