SWE-Cycle - FullCycle Solve Rate: leaderboard
Metric: FullCycle solve rate (%): share of issues whose FullCycle score is perfect (every phase full marks on both static and dynamic checks by SWE-Judge (Claude Opus 4.5 agent) static code review and dynamic execution, each scored 0, 1 or 2), 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); one session covering environment setup, implementation and tests (3 hours); agents run in the OpenCode harness in isolated Docker containers; higher is better. Source: arxiv.org. Saturation forecast: Around September 2028. 6 models tracked.
Top models
| # | Model | Score |
|---|---|---|
| 1 | GLM-5.1 | 13.5 |
| 2 | Claude Sonnet 4.6 | 12.27 |
| 3 | GPT-5.4 | 10.84 |
| 4 | MiniMax-M2.7 | 4.29 |
| 5 | Kimi K2.5 | 2.15 |
Interactive version: theaggregate.ai/benchmark?slug=swe-cycle-fullcycle-solve-rate · How It Works · Data refreshed daily, snapshot 2026-10-07.