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.
Claude Mythos Preview from Anthropic currently leads the SWE-bench Multilingual leaderboard with a score of 0.873 across 27 evaluated AI models.
Claude Mythos Preview leads with 87.3%, followed by
Claude Opus 4.6 at 77.8% and
Kimi K2.6 at 76.7%.
Progress Over Time
Interactive timeline showing model performance evolution on SWE-bench Multilingual
SWE-bench Multilingual Leaderboard
| Context | Cost | License | ||||
|---|---|---|---|---|---|---|
| 1 | Anthropic | — | — | — | ||
| 2 | Anthropic | — | 1.0M | $5.00 / $25.00 | ||
| 3 | Moonshot AI | 1.0T | 262K | $0.95 / $4.00 | ||
| 4 | MiniMax | — | 205K | $0.30 / $1.20 | ||
| 5 | DeepSeek | 1.6T | 1.0M | $1.74 / $3.48 | ||
| 6 | Alibaba Cloud / Qwen Team | — | 1.0M | $0.50 / $3.00 | ||
| 7 | DeepSeek | 284B | 1.0M | $0.14 / $0.28 | ||
| 8 | Moonshot AI | 1.0T | — | — | ||
| 9 | MiniMax | 230B | 1.0M | $0.30 / $1.20 | ||
| 10 | Xiaomi | 309B | — | — | ||
| 10 | Xiaomi | 1.0T | — | — | ||
| 12 | Alibaba Cloud / Qwen Team | 28B | 262K | $0.60 / $3.60 | ||
| 13 | DeepSeek | 685B | 164K | $0.26 / $0.38 | ||
| 13 | DeepSeek | 685B | — | — | ||
| 15 | Alibaba Cloud / Qwen Team | 397B | 262K | $0.60 / $3.60 | ||
| 16 | Alibaba Cloud / Qwen Team | 35B | — | — | ||
| 17 | Zhipu AI | 358B | 205K | $0.60 / $2.20 | ||
| 18 | Moonshot AI | 1.0T | — | — | ||
| 19 | DeepSeek | 685B | — | — | ||
| 20 | MiniMax | 230B | 1.0M | $0.30 / $1.20 | ||
| 21 | Alibaba Cloud / Qwen Team | 480B | — | — | ||
| 22 | DeepSeek | 671B | — | — | ||
| 23 | Moonshot AI | 1.0T | — | — | ||
| 23 | Moonshot AI | 1.0T | — | — | ||
| 25 | 120B | — | — | |||
| 26 | Meituan | 69B | 256K | $0.10 / $0.40 | ||
| 27 | DeepSeek | 671B | 131K | $0.55 / $2.19 |
FAQ
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