HumanEval+
Benchmark metadata from benchwiki — this page mirrors their record so scores can be joined to it. The original is canonical.
What it measures
HumanEval's 164 Python tasks re-evaluated with roughly 80 times more tests to expose plausible but incorrect programs.
- Primary metric
- HumanEval+ pass@1 (%)
- Judge model
- not judged by a model
- Human baseline
- not reportedNo controlled aggregate human pass@1 baseline has been published for HumanEval+; human-written canonical solutions are test oracles, not a timed baseline.
- Languages
- Python
Health
Only 164 task-level outcomes are averaged; near 90%, the rough 95% binomial interval is about ±4.6 points, separate from evaluator-version and generation variance.
- Status evidence
- The official EvalPlus leaderboard reports o1-preview and o1-mini at 89.0% HumanEval+ pass@1; with only 164 fully public prompts, remaining score gaps are too small and exposure-prone for a reliable frontier ranking.
- Saturated since
- 2024-09-12
- Refresh cycle
- static
- Test set public
- yes
Extra tests make shallow overfitting harder, but the prompts, canonical solutions, and generated tests are public and versioned rather than continuously refreshed.
Models scored on this benchmark
The reverse lookup, which is this site’s addition: every model here with a score on this benchmark. Independent measurements and vendor-reported numbers are kept apart rather than interleaved, because they are different claims.
No model on this site has a score on this benchmark yet. That usually means the models that were measured on it are not in the registry, rather than that nobody has run it.
Trajectory
Where results are tracked
Leaderboards benchwiki lists for this benchmark. These are links out, not sources this site ingests — no score below comes from any of them.
- Official EvalPlus leaderboardofficial
Source
This record is maintained by benchwiki and mirrored here. Read the original. Upstream last updated 2026-08-03; fetched 2026-10-19 by this site.