SciIR-Bench - Scientific Process: leaderboard

Metric: Accuracy (%) on the Scientific Process (index) track; a gemini-3-pro-preview reviewer answers the atomic binary checks generated for each prompt with visual evidence retrieval; a sample counts only if it passes every check of the track; averaged over intrinsic-reasoning (abstract prompt) and instruction-following (dense scientific reasoning chain prompt) samples; higher is better. Source: arxiv.org. Saturation forecast: Rough model projection: around 2026. 11 models tracked.

Top models

#ModelScore
1Nano Banana Pro97
2GPT-Image-172
3Seedream 4.560
4Qwen-Image-251237
5FLUX-Kontext-Max28
6Show-o2-7B28
7HiDream-I1-Full16
8FLUX.1-dev12
9Stable Diffusion 3.5 Large6
10BAGEL-7B-MoT2

Interactive version: theaggregate.ai/benchmark?slug=sciir-bench-scientific-process · How It Works · Data refreshed daily, snapshot 2026-09-29.