PostEDA-Bench (ReAct) - DRC-Reasoning: leaderboard

Practical design-rule repair set of PostEDA-Bench (Liu et al., University of Minnesota, 2026): a ReAct agent fixes violations that remain after full OpenROAD or commercial place-and-route flows and built-in repair, which need geometric reasoning and one to several layout edits. Success rate in percent over 30 tasks, each the share of 5 temperature-0 runs that end DRC-clean within 8 agent actions; higher is better.

Metric: Success rate (%; 30 residual post-flow DRC repair tasks, mean of 5 temperature-0 runs per task, ReAct agent). Source: arxiv.org. Saturation forecast: Around February 2027. 8 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 3 Flash (Preview)36.66#141
2GPT-531.33#163
3Gemma 4 31B (IT) (Thinking)27.99#343 (Gemma 4 31B (IT))
4Qwen 3.5 27B27.32#358
5GPT-5 Mini20.66#349
6DeepSeek V3.216.66#403
7Qwen 3.5 122B A10B13.33#329
8Qwen 3.5 9B5.99#803

No result here: #1 Claude Fable 5.2, #2 Gemini 4 Carbon, #5 Claude Opus 5.5.

Interactive version: theaggregate.ai/benchmark?slug=posteda-bench-react-drc-reasoning · How It Works · Data refreshed daily, snapshot 2026-11-12.