reasoning benchmark
HumanEval-Average Leaderboard
A variant of the HumanEval benchmark that measures functional correctness for synthesizing programs from docstrings, consisting of 164 original programming problems assessing language comprehension, algorithms, and simple mathematics
Updated Aug 17, 2026
Models1
Model coverage1
MetricScore
EvidenceB
HumanEval-Average Ranking
Higher score ranks better on this benchmark.
Sort by
Rank | Model | Score | Percentile | Participants | Evidence | Evaluated |
|---|
| Rank01 | ModelMA | Score61.5% | Percentile100.0% | Participants1 | EvidenceC | Evaluated |
HumanEval-Average Highlights
The leading models and scores on this benchmark.
The Top AI Models for HumanEval-Average
The first five results on this benchmark, with official price and output speed added where the model identity can be matched.
Ranking basisThis humaneval-average AI model leaderboard uses descending score in the benchmark's original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MACodestral-22BMistral AI
- Score
- 61.5%
Strengths
- Ranks #1 of 1 compared models
- 100th percentile on this benchmark
- C evidence result
Considerations
- This result measures HumanEval-Average, not total model capability
Selection summary
Best AI Models for HumanEval-Average
Codestral-22B currently leads HumanEval-Average with 61.5%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price and runtime.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.
What is HumanEval-Average?
What HumanEval-Average measures and how its scores work.
A variant of the HumanEval benchmark that measures functional correctness for synthesizing programs from docstrings, consisting of 164 original programming problems assessing language comprehension, algorithms, and simple mathematics
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- HumanEval-Average
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- humaneval-average|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about HumanEval-Average.
Which model scores highest on HumanEval-Average?
Codestral-22B is currently ranked first with 61.5%.
What does HumanEval-Average measure?
A variant of the HumanEval benchmark that measures functional correctness for synthesizing programs from docstrings, consisting of 164 original programming problems assessing language comprehension, algorithms, and simple mathematics
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
1 model results are currently shown.
Does this benchmark affect the overall score?
No. This benchmark is shown for reference but does not contribute to the overall score.