HELM VHELM - Reasoning: leaderboard

The "Reasoning" 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
1O3 (2025-04-16)94.09#124
2Gemini 2.5 Pro (Preview 03-25)92.67#125
3O4 Mini (2025-04-16)87.71#182
4O1 (2024-12-17)86.52#153
5GPT-4.576.12#276
6GPT-4.1 (2025-04-14)72.81#252
7Gemini 2.0 Flash (Preview)72.81#369
8Gemini 2.0 Pro (Preview 02-05)71.63#306
9GPT-4.1 Mini68.32#358
10Gemini 2.0 Flash65.96#345
11GPT-4o (2024-05-13)63.95#328
12Gemini 2.0 Flash Lite62.41#455
13Gemini 1.5 Pro (002)60.28#352
14GPT-4o (2024-11-20)60.05#379
15GPT-4o (2024-08-06)57.21#337

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-reasoning · How It Works · Data refreshed daily, snapshot 2026-10-24.