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
DeepSeek-V3 from DeepSeek currently leads the HumanEval-Mul leaderboard with a score of 0.826 across 2 evaluated AI models.
DeepSeek-V3 leads with 82.6%, followed by DeepSeek-V2.5 at 73.8%.
Progress Over Time
Interactive timeline showing model performance evolution on HumanEval-Mul
HumanEval-Mul Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | DeepSeek | 671B | — | — | ||
| 2 | DeepSeek | 236B | — | — |
FAQ
Common questions about HumanEval-Mul.
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