reasoning benchmark
HumanEval-Mul
A multilingual 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 11, 2026
Models2
Model coverage2
MetricScore
EvidenceB
HumanEval-Mul Ranking
Higher score ranks better on this benchmark.
| 01 | DE | 82.6% | 100.0% | 2 | C | |
| 02 | DE | 73.8% | 0.0% | 2 | C |
HumanEval-Mul Score Distribution
A closer view of the leading scores on this benchmark.
HumanEval-Mul Highlights
The leading models and scores on this benchmark.
What is HumanEval-Mul?
What HumanEval-Mul measures and how its scores work.
A multilingual 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-Mul
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- No
- Evaluation key
- humaneval-mul|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about HumanEval-Mul.
Which model scores highest on HumanEval-Mul?
DeepSeek-V3 is currently ranked first with 82.6%.
What does HumanEval-Mul measure?
A multilingual 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?
2 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.