SciFig-Bench - Completeness and Correctness: leaderboard

Metric: Completeness and correctness (0-10) (accuracy on 50 yes/no questions per paper written by Claude Opus 4.6 from the text and author figure, answered from the generated figure alone by Gemini 3.1 Pro, GPT-5.2 and Qwen3-VL and averaged). Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 3 models tracked.

Top models

#ModelScore
1Nano Banana Pro7
2SciFig GPT-5.4-Image (checkpoint unspecified)3.7
3Qwen-Image2.2

Interactive version: theaggregate.ai/benchmark?slug=scifig-bench-completeness-and-correctness · How It Works · Data refreshed daily, snapshot 2026-09-26.