LLM Stats (SWE-bench Multilingual): leaderboard

LLM Stats compilation of vendor-reported SWE-bench Multilingual results: 300 GitHub issues across 9 programming languages (C, C++, Go, Java, JavaScript, TypeScript, PHP, Ruby, Rust), resolved when the model's patch passes the repository tests. Percent resolved, higher is better. Harnesses and attempts differ by vendor, unlike the swebench.com mini-SWE-agent board.

Metric: Score (%). Source: llm-stats.com. Saturation forecast: Around February 2027. 51 models tracked.

Top models

#ModelScoreOverall rank
1Claude Opus 5.593.9#3
2Claude Sonnet 5.590.3#14
3Claude Mythos Preview87.3#5
4Claude Opus 4.884.4#39
5Claude Haiku 5.583.7#43
6Hy4 preview82.9#45
7Qwen3.8-Flash-Next81#76
8Laguna S 2.178.5#464
9Qwen 3.7 Max78.3#85
10Claude Sonnet 578.3#65
11Beam 1.078.3#102
12Claude Opus 4.677.83#67
13Kimi K2.676.7#113
14MiniMax-M2.776.5#270
15DeepSeek V4 Pro (Max)76.2#112 (DeepSeek V4 Pro)

No result here: #6 GPT-6 Astra, #7 GPT-6.1 Sol, #9 Gemini 4 Argon.

Interactive version: theaggregate.ai/benchmark?slug=llm-stats-swe-bench-multilingual · How It Works · Data refreshed daily, snapshot 2026-11-05.