HELM VHELM - Exams V - English (Natural Science): leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) Exams-V questions in English on natural science: school exam multiple-choice questions rendered as images that combine text, formulas and figures; 91 questions, prefix quasi-exact match. Percent correct, 0-100, higher is better.

Metric: Prefix Quasi-Exact Match (%). Source: crfm.stanford.edu. Saturation forecast: Estimated already saturated. 48 models tracked.

Top models

#ModelScoreOverall rank
1O3 (2025-04-16)83.52#125
2O1 (2024-12-17)78.02#157
3O4 Mini (2025-04-16)76.92#183
4Gemini 2.5 Pro (Preview 03-25)69.23#126
5Gemini 2.0 Flash (Preview)64.84#376
6Gemini 2.0 Flash63.74#351
7Llama 4 Maverick Instruct FP862.64#424
8GPT-4.562.64#278
9Gemini 2.0 Flash Lite62.64#455
10Gemini 2.0 Pro (Preview 02-05)61.54#318
11GPT-4o (2024-05-13)59.34#337
12GPT-4o (2024-11-20)59.34#392
13Gemini 1.5 Pro (002)58.24#368
14GPT-4 Turbo58.24#417
15GPT-4.1 Mini57.14#363

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

Interactive version: theaggregate.ai/benchmark?slug=helm-vhelm-exams-v-english-natural-science · How It Works · Data refreshed daily, snapshot 2026-11-05.