Subquadratic vs runchr

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

Subquadratic compared with runchr
Detail	Subquadratic	runchr
What it does	Efficiency is Intelligence	A curated registry of agent artifacts for solo founders
Stage	Startup	Not given
Founded	Not given	Not given
Based in	US	Not given
Pricing model	Paid	Free
Pricing	Free 100M tokens for new users. $0.04 per 1M tokens for input tokens.	Not given
Key features	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	Classification across eight artifact types Public API for programmatic access
What makes it different	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	A judgment layer that curates and task-tags tools instead of an undifferentiated list Pre-built agent stack recipes showing real implementations and tool combinations Designed specifically for one-person companies and solo founders
Community votes	0	0
DR (Domain Rating by Ahrefs)	53 +1 (up) since last check	1 no change since last check
Trust Flow (Majestic)	17	0
Citation Flow (Majestic)	37	14
Referring domains (Majestic)	654	4

4 details filled in for both companies.