Subquadratic vs Presto
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 Presto
| Detail | 
Subquadratic | 
Presto |
|---|
| What it does | Efficiency is Intelligence
| AI-driven voice automation for drive-thru restaurants
|
|---|
| Stage | Startup
| Established
|
|---|
| Founded | Not given
| 2008
|
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| Based in | US
| US
|
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| Pricing model | Paid
| Not given
|
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| Pricing | Free 100M tokens for new users. $0.04 per 1M tokens for input tokens.
| Not given
|
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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
| - Automated order-taking with voice AI
- Staff efficiency optimization
- Upselling and add-on recommendations
- Order accuracy improvement
- 24/7 availability
- POS and headset integration
- Up to 95% non-intervention rates
- Up to 88% upsell offer rates
|
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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
| - Most widely adopted drive-thru ordering assistant
- Spectrum of Voice AI technology
- Quick installation without disruption
- Richest feature set in the market
- Up to 6% monthly incremental revenue increase
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 51 ▼ −1 (down) since last check | 54 ● no change since last check |
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| Trust Flow (Majestic) | 17 | 25 |
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| Citation Flow (Majestic) | 37 | 29 |
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| Referring domains (Majestic) | 654 | 861 |
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5 details filled in for both companies.
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