SmellBench - False Positive Component: leaderboard

Metric: Mean per-task score s (-1 to 1: 1 for a full repair or a correctly flagged false positive, partial credit for a severity reduction, negative for a worsened smell or a genuine smell flagged as false positive) over the 41 detections the expert judged false positives, 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: Estimated already saturated. 10 models tracked.

Top models

#ModelScore
1Gemini 3.1 Flash Lite (Preview)1
2Gemini 3.1 Pro (Preview)0.95
3Claude Haiku 4.50.95
4GPT-5.40.91
5Claude Opus 4.60.91
6Claude Sonnet 4.60.88
7GPT-5.3 Codex0.87
8GPT-5.1 Codex Max0.79

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