SWE-Cycle - Environment Reconstruction: leaderboard
Metric: Score (%): the mean of the static and dynamic scores (SWE-Judge (Claude Opus 4.5 agent) static code review and dynamic execution, each scored 0, 1 or 2, normalized to 0-1), on the 489 SWE-Cycle issues (225 SWE-bench Verified, 203 SWE-bench Pro, 61 SWE-bench Multilingual, filtered for contamination, lifecycle complexity and reliable tests); isolated Env: from source code only, build the execution environment and resolve dependencies (90 minutes); agents run in the OpenCode harness in isolated Docker containers; higher is better. Source: arxiv.org. Saturation forecast: Around January 2027. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | Claude Sonnet 4.6 | 87.78 |
| 2 | GLM-5.1 | 82.11 |
| 3 | GPT-5.4 | 81.13 |
| 4 | Kimi K2.5 | 74.95 |
| 5 | MiniMax-M2.7 | 58.54 |
Interactive version: theaggregate.ai/benchmark?slug=swe-cycle-environment-reconstruction · How It Works · Data refreshed daily, snapshot 2026-10-07.