HELM VHELM - Blink Reasoning - Jigsaw: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) BLINK Jigsaw task: which patch completes a jigsaw image, one of BLINK's perception tasks that humans solve at a glance, asked as multiple choice; 150 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 Sonnet (20240229)100#694
2Claude 3 Opus (20240229)100#428
3Claude 3 Haiku (20240307)96.67#780
4GPT-4o Mini (2024-07-18)96#568
5Llama 4 Maverick Instruct FP895.33#424
6Gemini 2.0 Flash (Preview)95.33#376
7Claude 3.5 Sonnet (20240620)94.67#308
8GPT-4o (2024-05-13)94.67#337
9GPT-4.1 (2025-04-14)94#257
10GPT-4.594#278
11Gemini 2.5 Pro (Preview 03-25)93.33#126
12GPT-4 Turbo93.33#417
13O3 (2025-04-16)93.33#125
14GPT-4o (2024-11-20)92.67#392
15GPT-4.1 Mini92#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-reasoning-jigsaw · How It Works · Data refreshed daily, snapshot 2026-11-05.