Active-SWE - Localization Precision: leaderboard
Metric: Localization Precision (%). Source: hbinli.github.io. 18 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Opus 4.8 | 35 |
| 2 | GPT-5.5 | 24.1 |
| 3 | Qwen 3.7 Max | 19.4 |
| 4 | DeepSeek V4 Pro | 18.9 |
| 5 | Gemini 3.1 Pro (Preview) | 18.8 |
| 6 | Claude Sonnet 4.6 | 18 |
| 7 | GPT-5.4 | 17.6 |
| 8 | GLM-5.2 | 17 |
| 9 | Kimi K2.7 Code | 16.1 |
| 10 | Hy3 | 15.8 |
| 11 | Ring-2.6-1T | 14.9 |
| 12 | Kimi K2.6 | 14.7 |
| 13 | Qwen 3.5 397B A17B | 13.9 |
| 14 | Qwen 3.5 122B A10B | 13.8 |
| 15 | MiniMax-M2.7 | 13.4 |
Interactive version: theaggregate.ai/benchmark?slug=active-swe-localization-precision · How It Works · Data refreshed daily, snapshot 2026-09-19.