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  5. SimpleQA
Evaluation & Benchmarks

SimpleQA

SimpleQA is OpenAI's benchmark of short, fact-seeking questions with a single verifiable answer, used to measure a model's rate of confident factual errors.

Ask Melo about this← all terms

Released October 2024, SimpleQA questions are deliberately narrow and short-answer so correctness is unambiguous, isolating parametric factual recall from reasoning ability. Because it measures memorized knowledge, a reported score is only meaningful alongside the model's training data cutoff — a later cutoff can raise the score independent of any capability gain.

Related terms

HallucinationAI BenchmarkRecallMMLU-Procontext-benchConfusion Matrix

Where SimpleQA comes up

  • Firecrawl Relaunches Free Keyless Search and Scrape for AI Agents
  • PixelRAG: Berkeley's Visual RAG That Reads Web Pages as Screenshots (Not HTML)
  • Inkling-Small: Thinking Machines’ 12B-Active MoE Matches Inkling at 1/4 Size
  • AI Benchmarks in 2026: The Complete Guide to MMLU, GPQA, SWE-bench, and Beyond