HELM VHELM - Blink Perception - Visual Correspondence: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) BLINK Visual Correspondence task: matching the same physical point across viewpoints, one of BLINK's perception tasks that humans solve at a glance, asked as multiple choice; 172 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
1O4 Mini (2025-04-16)95.93#183
2O3 (2025-04-16)95.35#125
3O1 (2024-12-17)94.19#157
4Gemini 2.5 Pro (Preview 03-25)93.6#126
5GPT-4.1 (2025-04-14)93.02#257
6GPT-4.593.02#278
7Gemini 2.0 Flash (Preview)92.44#376
8Gemini 2.0 Flash91.86#351
9Llama 4 Maverick Instruct FP891.86#424
10Gemini 1.5 Pro (002)90.7#368
11Gemini 2.0 Pro (Preview 02-05)89.53#318
12GPT-4.1 Mini88.37#363
13Gemini 2.0 Flash Lite87.79#455
14GPT-4o (2024-05-13)84.88#337
15Claude 3.5 Sonnet (20240620)83.72#308

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-correspondence · How It Works · Data refreshed daily, snapshot 2026-11-05.