HELM VHELM - Blink Knowledge - Functional Correspondence: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) BLINK Functional Correspondence task: matching points with the same function across images of different objects, one of BLINK's perception tasks that humans solve at a glance, asked as multiple choice; 130 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)70.77#125
2O4 Mini (2025-04-16)70#183
3O1 (2024-12-17)68.46#157
4Gemini 2.5 Pro (Preview 03-25)66.92#126
5Gemini 2.0 Flash65.38#351
6Gemini 2.0 Flash (Preview)61.54#376
7GPT-4.1 (2025-04-14)59.23#257
8GPT-4.1 Mini56.15#363
9Claude 3.5 Sonnet (20241022)56.15#302
10Gemini 2.0 Flash Lite56.15#455
11Gemini 1.5 Pro (002)55.38#368
12Llama 4 Maverick Instruct FP854.62#424
13Claude 3.5 Sonnet (20240620)53.08#308
14GPT-4o (2024-08-06)53.08#343
15GPT-4.553.08#278

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