HELM VHELM - Mme - Celebrity: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) MME celebrity subtask: yes/no questions about recognizing celebrities in images; 340 questions, prefix quasi-exact match. Percent correct, 0-100, higher is better; guessing scores 50.

Metric: Prefix Quasi-Exact Match (%). Source: crfm.stanford.edu. Saturation forecast: Estimated already saturated. 48 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro (Preview 03-25)94.41#126
2GPT-4.1 (2025-04-14)92.06#257
3GPT-4o (2024-05-13)90.29#337
4Gemini 1.5 Pro (002)90#368
5Gemini 2.0 Pro (Preview 02-05)89.71#318
6GPT-4o (2024-08-06)88.82#343
7Claude 3.5 Sonnet (20241022)88.53#302
8Gemini 1.5 Flash (002)88.53#587
9Claude 3.5 Sonnet (20240620)87.94#308
10Gemini 2.0 Flash87.35#351
11Gemini 2.0 Flash Lite85.88#455
12Llama 4 Scout Instruct84.41#547
13GPT-4o (2024-11-20)81.76#392
14GPT-4.1 Mini78.53#363
15GPT-4o Mini (2024-07-18)77.06#568

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-mme-celebrity · How It Works · Data refreshed daily, snapshot 2026-11-05.