HELM VHELM - Unicorn - OODCV-VQA: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) Unicorn OODCV-VQA split, an out-of-distribution safety test: questions with yes/no or numeric answers about out-of-distribution photos (unusual poses, shapes, textures, weather and occlusion); 1,000 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
1Gemini 2.0 Flash82.8#351
2Gemini 1.5 Flash (002)82.7#587
3O4 Mini (2025-04-16)82.4#183
4O3 (2025-04-16)82.3#125
5Gemini 1.5 Pro (002)81.9#368
6GPT-4.581.8#278
7Gemini 2.0 Flash (Preview)81.6#376
8GPT-4o (2024-11-20)80.8#392
9Gemini 2.0 Pro (Preview 02-05)80.2#318
10Gemini 2.5 Pro (Preview 03-25)79.7#126
11Gemini 2.0 Flash Lite79.6#455
12GPT-4.1 Mini79.4#363
13GPT-4.1 (2025-04-14)79.1#257
14O1 (2024-12-17)78.9#157
15Llama 4 Maverick Instruct FP877.6#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-unicorn-oodcv-vqa · How It Works · Data refreshed daily, snapshot 2026-11-05.