Benchmark profile
SWE Multilingual
A multilingual software-engineering benchmark for real-world code issue resolution across multiple programming languages.
Data verifiedBenchmark score on SWE Multilingual — July 29, 2026
BenchLM mirrors the published score view for SWE Multilingual. Claude Opus 5 leads the public snapshot at 89.5% , followed by Claude Opus 4.8 (84.4%) and Composer 2.5 (79.8%). BenchLM does not use these results to rank models overall.
Claude Opus 5
Anthropic
claude-opus-5
Claude Opus 4.8
Anthropic
claude-opus-4-8
Composer 2.5
Cursor
composer-2-5
Benchmark score table (30 models)
ScoreThe published SWE Multilingual snapshot places Claude Opus 5 first at 89.5%. The third row is 9.7 points behind. The broader top-10 range is 12.0 points, so the table still separates the published systems.
30 models have been evaluated on SWE Multilingual. The benchmark falls in the Coding category. This category carries a 20% weight in BenchLM.ai's overall scoring system. SWE Multilingual is currently displayed for reference but excluded from the scoring formula, so it does not directly affect overall rankings.
About SWE Multilingual
Year
2026
Tasks
Multilingual software-engineering tasks
Format
Repository task completion
Difficulty
Professional software engineering
MiniMax reports SWE Multilingual as a coding benchmark focused on multilingual software-engineering tasks beyond single-language Python issue fixing.
BenchLM freshness & provenance
Version
SWE Multilingual 2026
Refresh cadence
Quarterly
Staleness state
Current
Question availability
Public benchmark set
BenchLM uses freshness metadata to decide whether a benchmark should still be treated as a strong differentiator, a benchmark to watch, or a display-only reference. For the full scoring policy, see the BenchLM methodology page.
FAQ
What does SWE Multilingual measure?
A multilingual software-engineering benchmark for real-world code issue resolution across multiple programming languages.
Which model scores highest on SWE Multilingual?
Claude Opus 5 by Anthropic currently leads with a score of 89.5% on SWE Multilingual.
How many models are evaluated on SWE Multilingual?
30 AI models have been evaluated on SWE Multilingual on BenchLM.
Compare Top Models on SWE Multilingual
Know when it’s worth switching models
The model to choose, the cheaper alternative, and the release we would wait on.
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