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Subquadratic vs Onlay

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 Onlay
DetailSubquadratic logo SubquadraticOnlay logo Onlay
What it doesEfficiency is Intelligence Publish documents for feedback, pull edits and comments back into your agent
StageStartup Not given
FoundedNot given Not given
Based inUS GB
Pricing modelPaid Not given
PricingFree 100M tokens for new users. $0.04 per 1M tokens for input tokens. Free plan: $0, up to five active documents, documents up to 4 MB, 1 GB storage, last ten versions restorable, invite up to ten people per document. Pro plan: $10 USD per month (billed as $120 per year) or $12 USD per month (billed monthly), unlimited active documents, documents up to 16 MB, 50 GB st
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
  • Publish HTML or Markdown files with shareable links
  • Readers can leave comments and edit text with author permission
  • Pull edits and comments back as structured data
  • MCP server for agents without file or command access
  • Custom share links with passwords and expiry dates on Pro
  • Version history with restore capability
  • Publish entire folders as sites on Pro plan
  • Connect to external APIs and embed sites on Pro
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
  • Documents stay active at stable links across multiple published versions
  • Works natively with AI coding agents without requiring manual context management
  • CLI does not require Node, Python or other runtime dependencies
  • Screenshots in comments are listed by ID and only fetched on request
Community votes00
DR (Domain Rating by Ahrefs)53 +1 (up) since last checkNot checked yet no change since last check
Trust Flow (Majestic)170
Citation Flow (Majestic)370
Referring domains (Majestic)6540

5 details filled in for both companies.

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