ADI vs Subquadratic

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

ADI compared with Subquadratic
Detail	ADI	Subquadratic
What it does	Agents on your own machine	Efficiency is Intelligence
Stage	Not given	Startup
Founded	Not given	Not given
Based in	US	US
Pricing model	Freemium	Paid
Pricing	Not given	Free 100M tokens for new users. $0.04 per 1M tokens for input tokens.
Key features	Persistent agent memory across runs Runs headless on Linux without user interaction Task tree with webhooks and event triggers Multi-machine mesh networking Local dashboard at app.adi with hot-reloading	384K token context window Multimodal input support 100K tokens processed in less than a second Structured output for direct code use Subquadratic Sparse Attention algorithm for efficient compute $0.04 per 1M tokens pricing Customer content not used for model training Data retention limited to 60 days
What makes it different	Runs entirely on your machine with no cloud dependency or account required Source code is public and can be read, built and modified for your own use	First long-context decision model purpose-built for enterprise work Frontier-level decision-making performance at 5-10x lower cost than frontier LLMs Tied for #1 on Artificial Analysis Decision Index Processes entire codebase or data room in single context window Speeds agent reasoning from minutes to seconds
Community votes	0	0
DR (Domain Rating by Ahrefs)	11 no change since last check	52 no change since last check
Trust Flow (Majestic)	3	17
Citation Flow (Majestic)	15	37
Referring domains (Majestic)	7	654

5 details filled in for both companies.