HumanEval Code Generation Leaderboard
164 Python function-generation problems where models must write correct code from docstrings, tested against unit tests. The original code generation benchmark.
Why it matters: The most recognized coding benchmark, though becoming saturated above 90%. Evidence of training data contamination in some models.
Top Model
97.5%
GPT-5.4
Average Score
88.9%
Across 49 models
Models Tested
49
Metric: pass@1
Human Baseline
-
Score Range: 0%–100%
HumanEval Scores - Top 25 Models
Ranked by HumanEval score (%)
Model Rankings
All models with a reported HumanEval score, ranked by highest pass@1.
About HumanEval
- Full Name
- HumanEval Code Generation
- Category
- Coding
- Metric
- pass@1 (%)
- Score Range
- 0%–100%
- Human Baseline
- Not established
- Status
- Saturated
HumanEval is a standardized evaluation that measures AI model performance on specific tasks. It provides comparable scores across different models, helping developers choose the right model for their needs.
GPT-5.4 currently holds the top score on the HumanEval benchmark. See our full rankings table above for the complete leaderboard with 49 models.
We update benchmark data from multiple sources including HuggingFace open-source model leaderboards and LMArena. Scores are refreshed regularly as new evaluations are published and new models are released.
No. While HumanEval is an important indicator, real-world performance depends on many factors including pricing, latency, context window, and specific task requirements. We recommend using our composite score which weighs multiple benchmarks and practical factors.