HELM VHELM - Blink Perception - Visual Similarity: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) BLINK Visual Similarity task: which image is most similar to the reference, one of BLINK's perception tasks that humans solve at a glance, asked as multiple choice; 135 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
1Llama 4 Maverick Instruct FP897.78#424
2Gemini 2.0 Flash (Preview)97.78#376
3Gemini 2.0 Flash94.81#351
4GPT-4.1 (2025-04-14)94.81#257
5Gemini 2.0 Flash Lite94.07#455
6Gemini 2.5 Pro (Preview 03-25)93.33#126
7GPT-4o (2024-05-13)93.33#337
8O1 (2024-12-17)92.59#157
9GPT-4.592.59#278
10Gemini 1.5 Pro (002)91.85#368
11Claude 3 Opus (20240229)91.85#428
12O4 Mini (2025-04-16)90.37#183
13O3 (2025-04-16)90.37#125
14Gemini 1.5 Flash (002)89.63#587
15GPT-4o (2024-11-20)88.89#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-blink-perception-visual-similarity · How It Works · Data refreshed daily, snapshot 2026-11-05.