HELM VHELM - Blink Perception - Object Localization: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) BLINK Object Localization task: which bounding box correctly localizes an object, one of BLINK's perception tasks that humans solve at a glance, asked as multiple choice; 122 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
1Claude 3 Opus (20240229)100#428
2GPT-4o (2024-11-20)95.9#392
3GPT-4.1 (2025-04-14)91.8#257
4GPT-4o (2024-05-13)90.98#337
5Claude 3 Sonnet (20240229)90.98#694
6Claude 3 Haiku (20240307)88.52#780
7GPT-4.588.52#278
8Gemini 1.5 Pro (002)82.79#368
9Gemini 1.5 Flash (002)82.79#587
10GPT-4o (2024-08-06)82.79#343
11O3 (2025-04-16)82.79#125
12Gemini 2.0 Flash (Preview)82.79#376
13Claude 3.5 Sonnet (20240620)81.15#308
14O1 (2024-12-17)81.15#157
15Gemini 2.0 Flash80.33#351

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