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HumanEval vs SWE-bench

Side-by-side comparison of HumanEval (Benchmark) and SWE-bench (Benchmark).

78.4
Composite Score
HumanEval
Benchmark · OpenAI
77.4
Composite Score
SWE-bench
Benchmark · Princeton NLP
Overall Winner
HumanEval
HumanEval wins 3 of 6 categories · SWE-bench wins 2 of 6 categories

Score Comparison

HumanEvalvsSWE-bench
Composite
78.4:77.4
Adoption
94:88
Quality
84:92
Freshness
72:90
Citations
96:95
Engagement
0:0

Details

FieldHumanEvalSWE-bench
TypeBenchmarkBenchmark
ProviderOpenAIPrinceton NLP
Version1.0Verified 1.0
Categoryai-codeai-code
Pricingopen-sourceopen-source
LicenseMITMIT
DescriptionHand-written Python programming problems with function signatures, docstrings, and test cases for evaluating code generation. Each problem requires implementing a function that passes a set of unit tests, measuring functional correctness rather than textual similarity.Benchmark for evaluating LLMs and AI agents on real-world software engineering tasks drawn from GitHub issues. Tests the ability to understand codebases, diagnose bugs, and produce working patches.

Capabilities

Only HumanEval

functional-correctness-assessment

Shared

model-evaluationcode-generation-testing

Only SWE-bench

agent-evaluationregression-testing

Integrations

Only HumanEval

lm-eval-harness

Shared

None

Only SWE-bench

githubdocker

Tags

Only HumanEval

pythonfunction-generation

Shared

benchmarkevaluationcoding

Only SWE-bench

software-engineeringagents

Use Cases

HumanEval

  • code model comparison
  • coding ability assessment
  • research

SWE-bench

  • model comparison
  • agent benchmarking
  • coding ability assessment
  • research
Share this comparison
https://aaas.blog/compare/humaneval-vs-swe-bench

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