ARC-AGI-2 Competition

The ARC-AGI-2 track challenges participants to build systems that solve static reasoning tasks from the ARC-AGI-2 benchmark.

Your objective: Reach 85% accuracy on the ARC-AGI-2 private evaluation dataset within the Kaggle efficiency limits.

For general rules and the spirit of ARC Prize, see the ARC Prize 2026 overview.

Prizes - $700K Total

This is the final year ARC-AGI-2 will be used in an official Kaggle competition. As a result, the grand prize will be awarded this year to the top score.

ARC Prize 2026 ARC-AGI-2 winners will be determined by participants' scores on the ARC-AGI-2 private evaluation set at the end of the competition. During the competition, public standings will reflect scores on the semi-private evaluation set.

Top Score Award - $500K (guaranteed)

• 1st Prize: $425K (contingent upon meeting open-source requirements + interview + solution type)
• 2nd Prize: $50K
• 3rd Prize: $15K
• 4th Prize: $5K
• 5th Prize: $5K

Bonus Prize (>85%) - $200K

Awarded to the first eligible solution that scores at least 85% on the private evaluation set. If not met, we intend to roll this forward to 2027.

Submission Requirements

Submissions must be made through the Kaggle competition as a Kaggle notebook.

• No internet access during evaluation
• All code and methods must be open sourced to be eligible for prizes
• Hardware and compute limits will be announced with the competition launch

Scoring Methodology

For each task, you should predict exactly 2 outputs for every test input grid. If any of the 2 predicted outputs matches the ground truth exactly, you score 1 for that task, otherwise 0. The final score is the average across all task test outputs.

Previous Years

The ARC-AGI-2 format was introduced in 2025, building on the original ARC-AGI-1 format used from 2020-2024.

• View 2025 results and analysis
• View 2024 results and analysis