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# The best score on Humanity's Last Exam rose from 8% in 2024 to 38.3% in 2025
- URL: https://aiadoption.org/data/humanitys-last-exam-top-accuracy/
- Published: 2026-10-19T15:55:18.000Z
- Updated: 2026-10-21T06:02:45.000Z
- Description: The best accuracy on Humanity's Last Exam, about 2,700 expert-level questions across dozens of subjects, rose from 8% (o1) in 2024 to 38.3% (Gemini 3 Pro) in 2025.
- Author: Manu
- Tags: Data, AI Benchmarks, Large Language Models, #chart, #ai-index-2026, #hub-benchmarks

38.3%

▲ 30.3 pts vs 2024

best accuracy on Humanity's Last Exam in 2025 (Gemini 3 Pro), up from 8% for o1 in 2024

20242025

## What the chart shows

Humanity’s Last Exam is a closed-ended test of about 2,700 hard questions across dozens of academic subjects, some with images, built to stay difficult for AI. The best accuracy rose from 8% in 2024 (o1) to 38.3% in 2025 (Gemini 3 Pro), a gain of 30.3 percentage points in a year.

Even the best model still answered 61.7% of the questions wrongly, and the report notes that confident wrong answers remain common.

## Key numbers

| Measure                                  | Value     |
| ---------------------------------------- | --------- |
| 2025: Gemini 3 Pro                       | 38.3%     |
| 2024: o1                                 | 8%        |
| Change, 2024 to 2025                     | +30.3 pts |
| Answered wrongly by the best model, 2025 | 61.7%     |

## How to read it

- Each bar is the best accuracy recorded that year, one model per year, from the HLE leaderboard (lastexam.ai).
- The number of questions (about 2,700) comes from the report; it is not in the data file.

**Source:** [Center for AI Safety et al.](https://aiadoption.org/sources/#humanitys-last-exam), 2026, via the AI Index Report 2026 (Stanford HAI), figure 2.4.4: *Humanity’s Last Exam (HLE): 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/humanitys-last-exam-top-accuracy.csv?ref=aiadoption.org) · [Cite this chart](#source)