SciDiagramEdit - Aesthetic Preference: leaderboard

SciDiagramEdit measures instruction-driven editing of scientific figures reconstructed from real paper revision pairs; this board reports blind pairwise aesthetic preference for the unassisted model backbones.

Metric: No-skill pairwise win rate (%). Source: arxiv.org. Saturation forecast: Around March 2027. 4 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.546.6#31
2GPT-5.436#79
3GPT-5.328.5#103
4GPT-5.116.8#135

No result here: #3 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=scidiagramedit-aesthetic-preference · How It Works · Data refreshed daily, snapshot 2026-10-20.