HELM VHELM - Blink Knowledge - Forensic Detection: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) BLINK Forensic Detection task: which image is a real photograph rather than a generated one, one of BLINK's perception tasks that humans solve at a glance, asked as multiple choice; 132 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
1GPT-4.597.73#278
2GPT-4.1 Mini96.97#363
3O1 (2024-12-17)96.97#157
4Gemini 2.5 Pro (Preview 03-25)93.18#126
5GPT-4.1 (2025-04-14)91.67#257
6GPT-4o (2024-05-13)91.67#337
7O4 Mini (2025-04-16)90.15#183
8O3 (2025-04-16)88.64#125
9Gemini 2.0 Flash (Preview)88.64#376
10GPT-4o (2024-11-20)87.88#392
11Gemini 2.0 Flash86.36#351
12GPT-4o (2024-08-06)86.36#343
13Gemini 2.0 Pro (Preview 02-05)86.36#318
14Gemini 1.5 Pro (002)81.82#368
15Llama 4 Maverick Instruct FP876.52#424

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