reasoning benchmark
HumanEval-Average Leaderboard
HumanEval-Average is a variant of the HumanEval benchmark with 164 original programming problems for synthesizing programs from docstrings.
Updated Sep 5, 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 | Score61.50% | Percentile100.00% | 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 original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
- 01MAMistral AI
- Score
- 61.50%
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 61.50%. 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.
HumanEval-Average is a reasoning benchmark focused on functional correctness in program synthesis from docstrings.
It measures functional correctness while assessing language comprehension, algorithms, and simple mathematics, with results reported as a Score in ratio units.
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
- overall
LLM Stats. 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 61.50%.
What are the top three models on HumanEval-Average?
The current leaders are Codestral-22B (61.50%).
Which HumanEval-Average model has the lowest official input price?
No matched official input price is currently available.
Which models are fastest among HumanEval-Average results?
No matched runtime record is currently available.
Does the highest score result prove overall model quality?
No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.