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Andrii Bidochko
  • Updated: March 27, 2026
  • 5 min read

Agentica SDK Achieves Record Performance on ARC‑AGI‑3 Benchmark

The Agentica SDK achieved a 36.08% overall score on the ARC‑AGI‑3 benchmark, solving 113 of 182 playable levels, completing 7 of the 25 games, and doing so for a total cost of $1,005—far surpassing traditional Chain‑of‑Thought (CoT) baselines while remaining cost‑effective.


Agentica SDK performance chart

Breakthrough Performance on ARC‑AGI‑3

In a landmark test published by Symbolica, the original Symbolica article highlighted the Agentica SDK’s ability to push the limits of agentic AI. The ARC‑AGI‑3 benchmark, designed to evaluate general problem‑solving across a diverse set of games and puzzles, has become the gold standard for measuring emergent intelligence in AI agents. Agentica’s results not only set a new performance ceiling but also demonstrate a dramatic reduction in computational expense—a critical factor for enterprises seeking scalable AI solutions.

For tech‑savvy professionals, AI researchers, and business leaders, these numbers translate into real‑world advantages: faster time‑to‑insight, lower cloud spend, and the ability to embed sophisticated reasoning into products without breaking the budget.

Key Performance Metrics

Metric Value
Overall Score 36.08 %
Playable Levels Solved 113 / 182 (62 %)
Games Completed 7 / 25 (28 %)
Total Compute Cost $1,005
Cost per Solved Level $8.90

All cost figures are based on on‑demand cloud pricing for the hardware configuration used in the benchmark.

How Agentica Stacks Up Against Baselines

The ARC‑AGI‑3 results were juxtaposed with three prominent CoT baselines:

  • Opus 4.6 (Max) – 0.25 % score at $8,900 total cost.
  • GPT‑5.4 (High) – 0.30 % score at $9,200 total cost.
  • Gemini 3.1 Pro (Preview) – sub‑0.1 % score with comparable spend.

While the baseline models barely cracked the 0.3 % threshold, Agentica delivered a 120‑fold increase in score for less than 12 % of the cost. This efficiency gap is illustrated in the figure below (adapted from Symbolica’s original chart):

Score (%)   Cost ($)
40          $1k
30          $10k
20          $100
10          $10
0           $1
      

The dramatic uplift is attributed to Agentica’s agentic architecture, which combines dynamic planning, memory‑augmented reasoning, and on‑the‑fly tool integration. For enterprises, this means you can achieve higher AI fidelity without the prohibitive price tag that traditionally accompanies state‑of‑the‑art language models.

Implications for AI Development and Cost Efficiency

The Agentica breakthrough reshapes three core narratives in the AI ecosystem:

  1. Scalable Agentic Reasoning: By proving that a modular SDK can outperform monolithic LLMs on a complex benchmark, developers now have a reusable foundation for building custom agents across domains—from finance to healthcare.
  2. Budget‑First AI Strategy: The $1,005 spend demonstrates that high‑impact AI is no longer exclusive to deep‑pocketed labs. Startups and SMBs can allocate a fraction of their cloud budget to achieve comparable or superior outcomes.
  3. Accelerated Time‑to‑Market: With the Web app editor on UBOS and the Workflow automation studio, teams can prototype, test, and deploy Agentica‑powered solutions in weeks rather than months.

These implications dovetail with broader industry trends toward AI marketing agents, low‑code AI platforms, and integrated voice‑first experiences such as the ElevenLabs AI voice integration.

Team Insight

“Our goal with the Agentica SDK was to democratize high‑level reasoning. Seeing a 36 % score on ARC‑AGI‑3 at a fraction of the cost validates that we’re on the right path—building agents that think like humans without the prohibitive price tag,” said Dr. Maya Patel, Lead Research Engineer at Symbolica.

The team’s focus on modular toolkits, such as the Chroma DB integration for vector storage, and the OpenAI ChatGPT integration, enabled rapid experimentation and fine‑tuning across the 182 levels.

From Benchmark to Business: Practical Use Cases

Companies can translate the Agentica performance gains into tangible products:

Take the Next Step with UBOS

Ready to embed agentic intelligence into your products? Explore the UBOS platform overview to discover pre‑built modules, low‑code editors, and a thriving partner program that accelerates go‑to‑market.

Whether you’re a startup (UBOS for startups), an SMB (UBOS solutions for SMBs), or an enterprise (Enterprise AI platform by UBOS), the same Agentica‑powered engine can be tailored to your needs.

Jumpstart your AI journey with ready‑made templates such as the AI YouTube Comment Analysis tool or the AI Video Generator. Each template is built on the same cost‑effective principles that made the Agentica SDK a benchmark champion.


Andrii Bidochko

CTO UBOS

Andrii Bidochko is an AI entrepreneur and researcher focused on AI agents, reinforcement learning, and autonomous systems. He writes about the technologies shaping the future of machine intelligence, from frontier models and agent architectures to real-world AI applications.

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