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# Gemini 3 Deep Think scored 84.6% on ARC-AGI-2, 7.5 points ahead of the next system
- URL: https://aiadoption.org/data/arc-agi-2-leaderboard/
- Published: 2026-10-19T15:55:20.000Z
- Updated: 2026-10-21T06:02:36.000Z
- Description: Gemini 3 Deep Think (February 2026 version) scored 84.6% on ARC-AGI-2's abstract puzzles, ahead of Gemini 3.1 Pro at 77.1%. Its earlier preview version scored 45.1%.
- Author: Manu
- Tags: Data, AI Benchmarks, Large Language Models, #chart, #ai-index-2026, #hub-benchmarks

84.6%

#1

ARC-AGI-2 score of Gemini 3 Deep Think (2/26), the top system in February 2026; Gemini 3.1 Pro (Preview) 77.1%

Gemini 3 Deep Think (2/26)84.6%

Gemini 3.1 Pro (Preview)77.1%

GPT-5.2 (Refine)72.9%

## What the chart shows

ARC-AGI-2 tests whether a system can infer a rule from a few example grid puzzles and apply it to a new one. In February 2026 the February version of Gemini 3 Deep Think led with 84.6%, ahead of Gemini 3.1 Pro (Preview) at 77.1% and GPT-5.2 (Refine) at 72.9%.

The same model can score very differently by version and setting: the earlier Gemini 3 Deep Think preview scored 45.1%, and four Claude Opus 4.6 settings ranged from 64.6% to 69.2%. The top 15 entries span 46.1 points.

## Key numbers

| Measure                       | Value |
| ----------------------------- | ----- |
| Gemini 3 Deep Think (2/26)    | 84.6% |
| Gemini 3.1 Pro (Preview)      | 77.1% |
| GPT-5.2 (Refine)              | 72.9% |
| Claude Opus 4.6 (120K, High)  | 69.2% |
| Gemini 3 Deep Think (Preview) | 45.1% |
| GPT-5.2 Pro (Medium), 15th    | 38.5% |

## How to read it

- Top 15 entries on the ARC Prize leaderboard (arcprize.org) as of February 2026\. Entries are model-and-setting combinations, so some models appear several times.
- Text in brackets is the version, reasoning effort, context budget or refinement method, as named by the leaderboard.
- The leaderboard also reports cost per task, which this chart does not show.

**Source:** [ARC-AGI-2 Leaderboard](https://aiadoption.org/sources/#arc-agi-2), 2026, via the AI Index Report 2026 (Stanford HAI), figure 2.4.3: *ARC-AGI-2*. 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/arc-agi-2-leaderboard.csv?ref=aiadoption.org) · [Cite this chart](#source)