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  5. AIME Benchmark
Evaluation & Benchmarksaka American Invitational Mathematics Examinationaka AIME

AIME Benchmark

The AIME benchmark uses problems from a proof-oriented mathematics competition to test mathematical reasoning in AI models.

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Problems require a numerical answer and often involve algebra, geometry, number theory, or combinatorics. Model evaluations typically use released contest questions and exact answer checking under a stated prompting setup. Training-data exposure and repeated tuning can affect how the score should be interpreted.

Related terms

MATH BenchmarkGSM8KExact MatchContamination AuditEval SuiteChatbot Arena

Where AIME Benchmark comes up

  • 94.3 on AIME 2026: VibeThinker-3B and the Case for Small Models With Frontier Reasoning
  • webAI TwIL-8B: An 8.8B Open-Weight Reasoning Model Claims 88-93% of Frontier Scores. What the Model Card Shows
  • Giotto Alto and Solo: Swiss Sovereign AI Models Claim Frontier Benchmarks, Claimed vs Verified
  • Reflection Beam Is Out: 501B Open Weights on Hugging Face, Apache 2.0