Metric & Benchmark

HumanEval

164-problem coding benchmark from OpenAI testing function generation from docstrings.

Definition

HumanEval is a hand-written code-generation benchmark of 164 Python problems with unit tests. pass@1 measures whether the model's first sample passes all tests. Modern coding LLMs score 80–95%, so harder extensions like SWE-Bench and LiveCodeBench have taken over.

Common use cases

  • Code benchmarks
  • Model selection for coding

Related terms

    HumanEval — AI Glossary | Railwail