HELM VHELM - Blink Perception - Spatial Relation: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) BLINK Spatial Relation task: the spatial relation between objects, one of BLINK's perception tasks that humans solve at a glance, asked as multiple choice; 143 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 3.5 Sonnet (20240620)99.3#308
2Claude 3 Sonnet (20240229)99.3#694
3Llama 4 Maverick Instruct FP898.6#424
4Claude 3 Opus (20240229)97.9#428
5Claude 3.5 Sonnet (20241022)97.2#302
6Llama 4 Scout Instruct95.8#547
7Claude 3 Haiku (20240307)95.8#780
8O1 (2024-12-17)95.1#157
9Gemini 2.5 Pro (Preview 03-25)94.41#126
10O3 (2025-04-16)93.71#125
11GPT-4o (2024-05-13)92.31#337
12O4 Mini (2025-04-16)92.31#183
13GPT-4.1 (2025-04-14)91.61#257
14Gemini 2.0 Flash (Preview)91.61#376
15GPT-4.1 Mini90.91#363

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