Multi-SWE-bench (MagentLess): leaderboard

Multi-SWE-bench (ByteDance Seed, 2025) asks an agent to resolve real GitHub issues by editing the repository; a fix counts only when the project's own tests pass. This board is the official leaderboard's All view under MagentLess, the benchmark team's multilingual port of Agentless: issues resolved across all eight language splits (Java, TypeScript, JavaScript, Go, Rust, C, C++ and the 500 Python tasks of SWE-bench Verified; 2,132 issues), in percent, for models that ran every split. Higher is better.

Metric: Resolved rate (%). Source: multi-swe-bench.github.io. Saturation forecast: Estimated already saturated. 12 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro (Preview 03-25)18.01#234
2O1 (2024-12-17)16.23#310
3DeepSeek R114.4#467
4Claude 3.7 Sonnet (20250219)14.35#399
5O3 Mini (2025-01-31) (High)13.65#486 (O3 Mini (2025-01-31))
6Claude 3.5 Sonnet (20241022)13.56#635
7Llama 4 Maverick13.56#1105
8DeepSeek V313.23#705
9GPT-4o (2024-11-20)11.4#864
10Qwen 2.5 72B Instruct8.26#1093
11Doubao-1.5-Pro7.83#585

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=multi-swe-bench-magentless · How It Works · Data refreshed daily, snapshot 2026-11-12.