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# Gemini-3.1-Pro leads MMLU-Pro at 91.2%, and the top 15 models are within 4.2 points
- URL: https://aiadoption.org/data/mmlu-pro-leaderboard/
- Published: 2026-10-19T15:55:46.000Z
- Updated: 2026-10-21T06:02:46.000Z
- Description: On MMLU-Pro, a harder 10-option version of the MMLU knowledge test, Gemini-3.1-Pro scored 91.2% in early 2026. The 15th-placed model, Grok-4, scored 87.0%, 4.2 points lower.
- Author: Manu
- Tags: Data, AI Benchmarks, Large Language Models, #chart, #ai-index-2026, #hub-benchmarks

91.2%

#1

MMLU-Pro accuracy of Gemini-3.1-Pro, the highest of the top 15 in early 2026; Gemini-3-Pro 90.1%, GPT-o1 89.3%

Gemini-3.1-Pro91.2%

Gemini-3-Pro (11/25)90.1%

GPT-o189.3%

## What the chart shows

MMLU-Pro tests knowledge and reasoning across subjects with more than 12,000 multiple-choice questions, each with ten options. In early 2026 Gemini-3.1-Pro led with 91.2% accuracy, ahead of Gemini-3-Pro (90.1%) and GPT-o1 (89.3%).

All of the top 15 models scored at least 87.0%, so 4.2 percentage points separate first from fifteenth. The report notes that accuracy on MMLU-Pro is typically 16–33% lower than on the original MMLU, which leaves more room to tell top models apart.

## Key numbers

| Measure                    | Value  |
| -------------------------- | ------ |
| Gemini-3.1-Pro             | 91.16% |
| Gemini-3-Pro (11/25)       | 90.1%  |
| GPT-o1                     | 89.3%  |
| Claude-4.6-Opus (Thinking) | 89.1%  |
| Grok-4 (15th)              | 87.0%  |

## How to read it

- Snapshot of the MMLU-Pro leaderboard (TIGER-Lab) in early 2026, top 15 models only.
- Accuracy is the share of questions answered correctly; guessing at random would score 10%.
- The report calls the second model Gemini-3-Pro (Thinking); the data labels it Gemini-3-Pro (11/25).

**Source:** [MMLU-Pro Leaderboard](https://aiadoption.org/sources/#mmlu-pro), 2026, via the AI Index Report 2026 (Stanford HAI), figure 2.2.1: *MMLU-Pro: overall accuracy*. Chart and text by AI Adoption.  
Numbers checked against the published data on 20 October 2026.  
[Download the data (CSV)](https://charts.aiadoption.org/ai-index/csv/mmlu-pro-leaderboard.csv?ref=aiadoption.org) · [Cite this chart](#source)