HELM VHELM - Multilinguality: leaderboard

The "Multilinguality" 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: Mean win rate. Source: crfm.stanford.edu. Saturation forecast: Estimated already saturated. 48 models tracked.

Top models

#ModelScoreOverall rank
1Gemini 2.5 Pro (Preview 03-25)100#124
2O3 (2025-04-16)96.81#123
3GPT-4.596.81#276
4Gemini 2.0 Pro (Preview 02-05)92.02#305
5Gemini 2.0 Flash (Preview)88.83#366
6Gemini 2.0 Flash86.97#344
7GPT-4.1 (2025-04-14)86.17#250
8O4 Mini (2025-04-16)84.31#181
9GPT-4o (2024-11-20)83.78#378
10GPT-4o (2024-05-13)83.24#326
11GPT-4o (2024-08-06)80.32#335
12Gemini 1.5 Pro (002)73.94#350
13Gemini 2.0 Flash Lite71.81#453
14GPT-4.1 Mini65.43#351
15O1 (2024-12-17)59.57#152

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-multilinguality · How It Works · Data refreshed daily, snapshot 2026-10-23.