reasoning benchmark
SWE-bench Multilingual
A multilingual benchmark for issue resolving in software engineering that covers Java, TypeScript, JavaScript, Go, Rust, C, and C++. Contains 1,632 high-quality instances carefully annotated from 2,456 candidates by 68 expert annotators, designed to evaluate Large Language Models across diverse software ecosystems beyond Python.
Updated Aug 11, 2026
Models34
Model coverage34
MetricScore
EvidenceB
SWE-bench Multilingual Ranking
Higher score ranks better on this benchmark.
SWE-bench Multilingual Score Distribution
A closer view of the leading scores on this benchmark.
SWE-bench Multilingual Highlights
The leading models and scores on this benchmark.
What is SWE-bench Multilingual?
What SWE-bench Multilingual measures and how its scores work.
A multilingual benchmark for issue resolving in software engineering that covers Java, TypeScript, JavaScript, Go, Rust, C, and C++. Contains 1,632 high-quality instances carefully annotated from 2,456 candidates by 68 expert annotators, designed to evaluate Large Language Models across diverse software ecosystems beyond Python.
Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.
- Family
- SWE-bench Multilingual
- Modality
- text
- Primary category
- reasoning
- Score direction
- higher
- LLMBoard eligible
- Yes
- Evaluation key
- swe-bench-multilingual|llm-stats-current
Benchmark scores retain their original unit. Overall score eligibility is shown separately.
FAQ
Common questions about SWE-bench Multilingual.
Which model scores highest on SWE-bench Multilingual?
Claude Mythos Preview is currently ranked first with 87.3%.
What does SWE-bench Multilingual measure?
A multilingual benchmark for issue resolving in software engineering that covers Java, TypeScript, JavaScript, Go, Rust, C, and C++. Contains 1,632 high-quality instances carefully annotated from 2,456 candidates by 68 expert annotators, designed to evaluate Large Language Models across diverse software ecosystems beyond Python.
Is a higher score better?
Yes. Higher values rank better for this benchmark.
How many models are compared?
34 model results are currently shown.
Does this benchmark affect the overall score?
Yes. This benchmark can contribute to the current LLMBoard capability score.