HELM VHELM - Bingo Fairness: leaderboard

The "Bingo Fairness" subtask of HELM VHELM. Stanford HELM's VHELM project, the holistic evaluation of vision-language models: image-grounded question answering, OCR, chart and diagram reading, spatial reasoning, robustness, bias, fairness and toxicity scenarios scored under one ha...

Metric: Prometheus Vision rating. Source: crfm.stanford.edu. Saturation forecast: Estimated already saturated. 48 models tracked.

Top models

#ModelScoreOverall rank
1O3 (2025-04-16)4.38#124
2Gemini 2.5 Pro (Preview 03-25)4.2#125
3O4 Mini (2025-04-16)4.11#182
4Gemini 2.0 Pro (Preview 02-05)3.8#306
5GPT-4o Mini (2024-07-18)3.76#560
6GPT-4.1 (2025-04-14)3.75#252
7Gemini 2.0 Flash (Preview)3.74#369
8O1 (2024-12-17)3.74#153
9Gemini 1.5 Flash (002)3.73#584
10Gemini 1.5 Pro (002)3.66#352
11Gemini 2.0 Flash Lite3.66#455
12GPT-4o (2024-11-20)3.65#379
13GPT-4o (2024-05-13)3.6#328
14Claude 3.5 Sonnet (20241022)3.59#293
15GPT-4 Turbo3.58#410

No result here: #4 Claude Opus 5.5, #6 GPT-6 Astra, #7 GPT-6.1 Sol.

Interactive version: theaggregate.ai/benchmark?slug=helm-vhelm-bingo-fairness · How It Works · Data refreshed daily, snapshot 2026-10-24.