HumanEval
About
164 Python coding problems measuring functional correctness of code generation via pass@k metric. Released by OpenAI in 2021; HumanEval+ provides a more rigorous extension.Compare model scores alongside pricing, API availability, and release date — high benchmark score alone doesn't make a model the right pick.
How to read this benchmark
This benchmark uses a scoring system where higher is better. Scores are useful for directional filtering and model shortlisting, not for universal quality ranking.
Interpretation checklist: prefer benchmarks that are closest to your workload style, then validate against the linked model pages for pricing, context window, and provider availability.
Trust when:
- There is a fresh timestamped snapshot (or multiple snapshots) for this benchmark.
- Model list covers the same version family you can actually deploy today.
- Top candidates overlap with your required routing and feature requirements.
Don't trust when:
- There is only one benchmark snapshot or the dataset appears stale.
- Benchmark metric direction is opposite of your decision objective.
- The score difference between options is narrow and likely within implementation variance.
Current modeled score band for tracked entries is roughly 96.7 – 93.0.
Window
Apr 24 to May 25
last 3 snapshots
Mean delta
+15.20
score points
Coverage
1
models in latest snapshot
Leaderboard preview (top 5)
- 1. o396.7
- 2. Grok-394.5
- 3. GPT-5.594.2
- 4. Gemini 2.5 Pro93.1
- 5. Claude 3.7 Sonnet93.0