SWE-Cycle: leaderboard
Metric: FullCycle 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) of the environment, implementation and test phases, 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); FullCycle task: from a raw codebase and the issue, set up the environment, implement the fix and write tests in one session (3 hours); 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 | GLM-5.1 | 81.49 |
| 2 | Claude Sonnet 4.6 | 80.52 |
| 3 | GPT-5.4 | 79.94 |
| 4 | Kimi K2.5 | 70.51 |
| 5 | MiniMax-M2.7 | 39.84 |
Interactive version: theaggregate.ai/benchmark?slug=swe-cycle · How It Works · Data refreshed daily, snapshot 2026-10-07.