SWE-Cycle - Test Generation: 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 TestGen: write tests that isolate the issue in a patched codebase (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

#ModelScore
1Claude Sonnet 4.688.39
2GLM-5.184.36
3Kimi K2.581.61
4GPT-5.475.41
5MiniMax-M2.753.89

Interactive version: theaggregate.ai/benchmark?slug=swe-cycle-test-generation · How It Works · Data refreshed daily, snapshot 2026-10-07.