HELM VHELM - Unicorn - Sketchy-VQA: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) Unicorn Sketchy-VQA split, an out-of-distribution safety test: questions about sketch drawings of objects; 1,000 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 2.0 Flash97#351
2Gemini 2.0 Pro (Preview 02-05)97#318
3Gemini 2.0 Flash (Preview)96.3#376
4Gemini 1.5 Pro (002)96.2#368
5Gemini 2.5 Pro (Preview 03-25)96.2#126
6Gemini 2.0 Flash Lite96.2#455
7Gemini 1.5 Flash (002)96.1#587
8GPT-4o (2024-08-06)94.9#343
9GPT-4.594.7#278
10GPT-4o (2024-05-13)93.6#337
11Claude 3.5 Sonnet (20241022)92.7#302
12GPT-4o (2024-11-20)92.7#392
13O4 Mini (2025-04-16)92.5#183
14GPT-4.1 (2025-04-14)92.3#257
15Llama 4 Scout Instruct92#547

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-unicorn-sketchy-vqa · How It Works · Data refreshed daily, snapshot 2026-11-05.