HELM VHELM - Bingo - I2I: leaderboard

VHELM (Stanford CRFM HELM for vision-language models, run v2.1.2) Bingo I2I split: open-ended questions designed to expose hallucination from image-to-image interference, where similar images are shown together, each response rated 1-5 by a Prometheus-Vision judge; 124 questions. Mean rating on the 1-5 scale, higher is better.

Metric: Prometheus Vision Rating (1-5). Source: crfm.stanford.edu. Saturation forecast: Estimated already saturated. 48 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro (Preview 03-25)4.45#126
2O3 (2025-04-16)4.45#125
3O4 Mini (2025-04-16)4.23#183
4O1 (2024-12-17)4.16#157
5Llama 4 Maverick Instruct FP84.02#424
6GPT-4o (2024-11-20)3.97#392
7GPT-4o Mini (2024-07-18)3.84#568
8GPT-4o (2024-05-13)3.79#337
9Gemini 2.0 Pro (Preview 02-05)3.79#318
10GPT-4.1 (2025-04-14)3.76#257
11Gemini 1.5 Flash (002)3.74#587
12Llama 4 Scout Instruct3.74#547
13Claude 3.5 Sonnet (20241022)3.73#302
14Gemini 1.5 Pro (002)3.68#368
15GPT-4o (2024-08-06)3.68#343

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-bingo-i2i · How It Works · Data refreshed daily, snapshot 2026-11-05.