Symbolica's Agentica SDK achieved a 36.08% score on ARC-AGI-3, solving 113 out of 182 playable levels and winning 7 of 25 games on day one. This outperforms Chain-of-Thought baselines like Opus 4.6 Max at 0.25% and GPT 5.4 High at 0.3%, while costing just $1,005 compared to Opus's $8,900.

ARC-AGI-3 represents the latest frontier in agentic intelligence testing, challenging AI systems with novel puzzles requiring abstract reasoning. The Agentica SDK demonstrated practical efficiency by winning games like CN04 (97.6% score) and LP85 (84.16% score), while traditional CoT models struggled to reach even 1% success rates.

The breakthrough highlights Symbolica's approach to AI reasoning, which emphasizes cost-effective problem-solving over raw computational power. By sandboxing the SDK for persistent task execution, including ARC puzzles, Symbolica demonstrates how specialized agents can outperform general-purpose models on specific reasoning tasks while maintaining dramatically lower operational costs.