Subquadratic vs Muse OS
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 Muse OS
| Detail | 
Subquadratic | 
Muse OS |
|---|
| What it does | Efficiency is Intelligence
| Ready-to-paste jobs for Meta's Muse agent
|
|---|
| Stage | Startup
| Not given
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| Founded | Not given
| Not given
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| Based in | US
| LT
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| Pricing model | Paid
| Paid
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| Pricing | Free 100M tokens for new users. $0.04 per 1M tokens for input tokens.
| $97 (launch price: $147, save $50)
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| 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
| - 856 pre-written jobs ready to copy and paste
- Jobs cover 10 areas of life: money, bills, shopping, travel, home and family, health, career, side income, business, and inbox
- Muse asks permission before spending, canceling or sending
- Jobs automatically repeat on a weekly schedule
- Two minutes to get started
- Works with the free Muse app
|
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| 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
| - Each job is pre-written with specific instructions on where to look and what to bring back, unlike typing generic questions
- Get started in two minutes without videos or courses
- 14-day money-back guarantee with no questions asked
- Muse asks for permission before any spending or cancellations
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 52 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 17 | 0 |
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| Citation Flow (Majestic) | 37 | 14 |
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| Referring domains (Majestic) | 654 | 2 |
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6 details filled in for both companies.
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