SimpleBench is a multiple-choice text benchmark introduced in August 2024 by Philip, creator of the AI Explained YouTube channel, in collaboration with Hemang, to evaluate large language models on basic common-sense reasoning tasks where humans still outperform them.
Endorsements made here support AI Explained.
SimpleBench is a multiple-choice text benchmark introduced in August 2024 by Philip, creator of the AI Explained YouTube channel, in collaboration with Hemang, to evaluate large language models on basic common-sense reasoning tasks where humans still outperform them.
Endorsements made here support AI Explained.
Project Details
Updated 05/18/26 · By grantmaking.aiSimpleBench consists of 213 text-only questions with six answer options each, covering spatio-temporal reasoning, social intelligence and linguistic adversarial “trick” questions. A small group of non-specialist humans scores around 83–84% on these items, substantially outperforming all tested frontier LLMs, including o1-preview, and scores are reported on a public leaderboard.
Theory of Impact
Updated 05/18/26 · By grantmaking.aiSimpleBench aims to provide a clearer signal of genuine reasoning progress in large language models by focusing on simple-seeming questions that high-school-level humans can answer but current models often fail. By tracking model performance on these everyday reasoning tasks, the benchmark is intended to highlight real gaps between human and LLM reasoning and steer research toward closing those gaps rather than merely improving saturated academic benchmarks.
People
Updated 05/18/26 · By grantmaking.aiCo-creator
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