SmellBench - Resolution Rate: leaderboard

Metric: Share of all 65 smells (%) that PyExamine no longer detects after the run (a resolution may be a side effect of work on another task), 65 expert-validated hard-severity PyExamine architectural smells in scikit-learn, off-the-shelf coding agent CLIs with the SmellBench agent skill and GEPA-optimized task packets, default reasoning settings, one run per agent; higher is better. Source: arxiv.org. Saturation forecast: Around 2028. 10 models tracked.

Top models

#ModelScore
1GPT-5.432.3
2GPT-5.3 Codex30.8
3Gemini 3.1 Pro (Preview)29.2
4Claude Sonnet 4.627.7
5Claude Opus 4.627.7
6Claude Haiku 4.527.7
7GPT-5.1 Codex Max27.7
8Gemini 3.1 Flash Lite (Preview)9.2

Interactive version: theaggregate.ai/benchmark?slug=smellbench-resolution-rate · How It Works · Data refreshed daily, snapshot 2026-10-07.