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

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) Exams-V questions in German on natural science: school exam multiple-choice questions rendered as images that combine text, formulas and figures; 29 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
1Gemini 2.5 Pro (Preview 03-25)89.66#126
2O4 Mini (2025-04-16)89.66#183
3O3 (2025-04-16)86.21#125
4GPT-4o Mini (2024-07-18)75.86#568
5O1 (2024-12-17)75.86#157
6GPT-4.575.86#278
7GPT-4.1 Nano72.41#730
8Gemini 1.5 Pro (002)72.41#368
9Gemini 2.0 Flash (Preview)68.97#376
10GPT-4.1 Mini65.52#363
11Gemini 2.0 Flash65.52#351
12Claude 3 Sonnet (20240229)65.52#694
13Gemini 2.0 Flash Lite65.52#455
14GPT-4.1 (2025-04-14)62.07#257
15GPT-4o (2024-11-20)62.07#392

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-german-natural-science · How It Works · Data refreshed daily, snapshot 2026-11-05.