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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 7, 2026

Published models2
Registry coverage2
MetricScore
EvidenceB

On this page

  • Ranking
  • Distribution
  • Highlights
  • About
  • FAQ

HumanEval-Mul leaderboard

Sorted by the source-provided rank. Higher score is better according to the registry.

2 rows
Columns

Show columns

1DEDeepSeek-V3DeepSeek82.6%100.0%2CAug 7, 2026
2DEDeepSeek-V2.5DeepSeek73.8%0.0%2CAug 7, 2026

Score distribution

Top published rows on the benchmark's original scale.

HumanEval-Mul

HumanEval-Mul highlights

The top published results on this benchmark's own scale.

Rank #1DeepSeek-V382.6%Rank #2DeepSeek-V2.573.8%

What is HumanEval-Mul?

Definition and scoring fields from the benchmark registry.

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. The current registry marks this benchmark as not independently verified with evidence level B.

Family
HumanEval-Mul
Modality
text
Primary category
reasoning
Score direction
higher
LLMBoard eligible
No
Evaluation key
humaneval-mul|llm-stats-current

Source-native results are preserved. Eligibility for the overall LLMBoard score is a separate policy decision.

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 unique published model results are currently shown.

Does this benchmark affect the overall score?

This benchmark is preserved as source-native evidence but is not eligible for the current overall score.

Rankings

OverallCodingText ArenaPricing

Modalities

Image GenerationVideo GenerationSpeech-to-TextEmbeddings

Benchmarks

All BenchmarksReasoningMathCoding

Vendors

All VendorsOpenAIAnthropicGoogle
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