OmniSch - Graph Edit Similarity: leaderboard

Metric: One minus normalized graph edit distance (x100) between the predicted and ground-truth netlist graphs on the industrial-EDA (Real) schematics of the OmniSch held-out test split, the model converting each PCB schematic image into a spatially weighted netlist graph with one zero-shot prompt, predicted and reference nodes aligned by maximum-weight bipartite matching; higher is better. Source: arxiv.org. Saturation forecast: Around July 2027. 9 models tracked.

Top models

#ModelScore
1Claude Sonnet 4.615.9
2Qwen 3.5 122B A10B14.52
3Ministral 3 14B12.23
4Gemini 3.1 Pro (Preview)10.62
5GPT-5.29.45
6GPT-5 Mini7.3
7Llama 4 Maverick4.34
8Qwen 3 VL 8B Instruct0.65

Interactive version: theaggregate.ai/benchmark?slug=omnisch-graph-edit-similarity · How It Works · Data refreshed daily, snapshot 2026-10-07.