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# Gemini 3.1 Pro Preview scored 88.2% on MMMU, 0.4 points short of the best human expert
- URL: https://aiadoption.org/data/mmmu-leaderboard/
- Published: 2026-10-19T15:55:25.000Z
- Updated: 2026-10-21T06:02:47.000Z
- Description: Gemini 3.1 Pro Preview scored 88.2% on the MMMU multimodal reasoning test in February 2026, 0.4 points below the best human expert (88.6%). The 14th model, o3, scored 80.4%.
- Author: Manu
- Tags: Data, AI Benchmarks, Computer Vision, #chart, #ai-index-2026, #hub-benchmarks

88.2%

#1 of 14

MMMU accuracy of Gemini 3.1 Pro Preview in February 2026, the highest of 14 models; the best human expert scored 88.6%

Gemini 3.1 Pro Preview88.2%

Gemini 3 Flash (12/25)87.6%

Gemini 3 Pro (11/25)87.5%

## What the chart shows

MMMU tests college-level reasoning on questions that combine text with diagrams, charts, tables and equations. In February 2026 Gemini 3.1 Pro Preview led with 88.2%, 0.4 points below the best human expert reference of 88.6%. Gemini 3 Flash (87.6%), Gemini 3 Pro (87.5%) and GPT 5.2 (86.7%) followed.

The 14 models span 7.8 points, from 88.2% down to o3 at 80.4%. Of the models listed as 2026 releases, Kimi K2.5 scored highest at 84.3%.

## Key numbers

| Measure                    | Value  |
| -------------------------- | ------ |
| Gemini 3.1 Pro Preview     | 88.21% |
| Gemini 3 Flash (12/25)     | 87.63% |
| Gemini 3 Pro (11/25)       | 87.51% |
| GPT 5.2                    | 86.67% |
| o3                         | 80.42% |
| Best human expert (report) | 88.6%  |

## How to read it

- Scores from Vals.ai’s independent MMMU evaluation, February 2026.
- The best human expert reference (88.6%) comes from the report’s chart; it is not in the data file and is drawn as a dashed line.
- The report says the chart shows the top 15 models; the data file has 14.

**Source:** [Vals.ai](https://aiadoption.org/sources/#vals-ai), 2026, via the AI Index Report 2026 (Stanford HAI), figure 2.4.1: *MMMU: 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/mmmu-leaderboard.csv?ref=aiadoption.org) · [Cite this chart](#source)