HELM VHELM - Seed Bench - Instance Interaction: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) SEED-Bench instance interaction dimension: four-option multiple-choice image-understanding questions; 97 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
1O3 (2025-04-16)86.6#125
2O1 (2024-12-17)86.6#157
3GPT-4.586.6#278
4GPT-4.1 Mini85.57#363
5Claude 3.5 Sonnet (20241022)84.54#302
6Gemini 2.5 Pro (Preview 03-25)84.54#126
7GPT-4 Turbo84.54#417
8Gemini 1.5 Flash (002)83.51#587
9GPT-4o (2024-05-13)82.47#337
10GPT-4o (2024-11-20)82.47#392
11O4 Mini (2025-04-16)81.44#183
12GPT-4.1 (2025-04-14)80.41#257
13GPT-4o (2024-08-06)80.41#343
14Gemini 2.0 Flash (Preview)80.41#376
15Gemini 1.5 Pro (002)79.38#368

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-instance-interaction · How It Works · Data refreshed daily, snapshot 2026-11-05.