HELM VHELM - Seed Bench - Visual Reasoning: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) SEED-Bench visual reasoning dimension: four-option multiple-choice image-understanding questions; 331 questions, prefix quasi-exact match. Percent correct, 0-100, higher is better; guessing scores 25.

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

Top models

#ModelScoreOverall rank
1Gemini 1.5 Flash (002)83.99#587
2GPT-4o (2024-08-06)83.69#343
3GPT-4o Mini (2024-07-18)83.38#568
4Gemini 2.5 Pro (Preview 03-25)83.38#126
5O3 (2025-04-16)83.38#125
6GPT-4o (2024-05-13)83.08#337
7GPT-4.582.78#278
8O4 Mini (2025-04-16)82.18#183
9Gemini 1.5 Pro (002)81.87#368
10GPT-4.1 (2025-04-14)81.87#257
11GPT-4o (2024-11-20)81.87#392
12GPT-4.1 Mini81.57#363
13Gemini 2.0 Pro (Preview 02-05)81.57#318
14GPT-4 Turbo81.27#417
15Gemini 2.0 Flash Lite80.97#455

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-seed-bench-visual-reasoning · How It Works · Data refreshed daily, snapshot 2026-11-05.