Sci-Rho - Mathematics (English): leaderboard

Sci-Rho (Science Rhobustness, 2026) is a dynamic benchmark of image-grounded STEM problems in five subjects and seven languages, where each expert-written template generates ten visually and numerically varied instances. This board is average-case accuracy (%) on the English mathematics templates; higher is better.

Metric: Average-case accuracy (%) on the English mathematics templates of Sci-Rho: 606 expert-written executable templates per language (mathematics, physics, chemistry, biology and computer science, many drawn from olympiad problems), each rendered as 10 visually and numerically varied image-grounded instances; higher is better. Source: arxiv.org. Saturation forecast: Around February 2027. 17 models tracked.

Top models

#ModelScoreOverall rank
1GPT-5.4 (Non-reasoning)90.3#123 (GPT-5.4)
2Gemini 2.5 Pro86.2#266
3Gemini 2.5 Flash (Non-reasoning)85.2#453 (Gemini 2.5 Flash)
4Qwen 3.5 27B (Non-reasoning)85.1#359 (Qwen 3.5 27B)
5Qwen 3.5 122B A10B (Non-reasoning)82.1#331 (Qwen 3.5 122B A10B)
6Llama 4 Scout Instruct71.4#1543
7Gemma 3 12B (IT)61.7#1837
8Qwen 3 VL 8B Instruct61.5#981
9Molmo2-8B46.5#1483
10Gemma 3 4B (IT)46.2#3831
11Qwen 3 VL 4B Instruct31.7#1279

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

Interactive version: theaggregate.ai/benchmark?slug=sci-rho-mathematics-english · How It Works · Data refreshed daily, snapshot 2026-11-13.