Poetiq: SOTA Reasoning on ARC-AGI

This repository allows reproduction of Poetiq's record-breaking submission to the ARC-AGI-1 and ARC-AGI-2 benchmarks.

Full analysis is available in our launch post, Traversing the Frontier of Superintelligence.

Our method is now on top of the official leaderboard. More information is in our follow-up post, Poetiq Shatters ARC-AGI-2 State of the Art at Half the Cost.

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📊 Public Eval Results

You can recreate the Gemini 3 points from these charts using this repo.

📊 Official Private Eval Results

These are our results on the official leaderboard from ARC Prize, but those problems are kept private.

🛠️ Usage

Prerequisites

• Python 3.11+
• API Keys for the models you wish to test (Gemini, OpenAI, etc.)

Quick Start

1. Setup the environment:

   python -m venv .venv
   source .venv/bin/activate
   pip install -r requirements.txt
   

2. Create a .env file in the root directory. You must include keys for the models you intend to run.

   GEMINI_API_KEY=...
   OPENAI_API_KEY=...
   

3. Modify the constants in main.py to set the problem set, number of problems, etc. Then run the script:

   python main.py
   

4. By default, the code runs the Poetiq 3 config described in the blog post. You can uncomment other ones or modify the config in config.py

📄 Contact

If you use this code or these results in your research, please cite our blog post:

Poetiq Team. (2025). Traversing the Frontier of Superintelligence. Poetiq AI. https://poetiq.ai/posts/arcagi_announcement/

For questions or to discuss the future of reasoning, reach out to us at poetiq@poetiq.ai.