Multi-SWE-bench Java (MagentLess): leaderboard
Metric: Resolved rate (%). Source: multi-swe-bench.github.io. Saturation forecast: Estimated already saturated. 12 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | DeepSeek R1 | 22.66 |
| 2 | Gemini 2.5 Pro (Preview 03-25) | 21.88 |
| 3 | O1 (2024-12-17) | 21.09 |
| 4 | Claude 3.5 Sonnet (20241022) | 14.84 |
| 5 | Llama 4 Maverick | 14.84 |
| 6 | Claude 3.7 Sonnet (20250219) | 14.06 |
| 7 | GPT-4o (2024-11-20) | 11.72 |
| 8 | Qwen 2.5 72B Instruct | 10.94 |
| 9 | DeepSeek V3 | 7.03 |
| 10 | Doubao-1.5-Pro | 5.47 |
| 11 | O3 Mini (2025-01-31) (High) | 5.47 |
Interactive version: theaggregate.ai/benchmark?slug=multi-swe-bench-java-magentless · How It Works · Data refreshed daily, snapshot 2026-09-26.