Subquadratic vs Firsthand
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 Firsthand
| Detail | 
Subquadratic | 
Firsthand |
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| What it does | Efficiency is Intelligence
| AI-powered Brand Agents built for marketers and publishers to engage consumers with their knowledge, everywhere.
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| Stage | Startup
| Not given
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| Founded | Not given
| Not given
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| Based in | US
| Not given
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| Pricing model | Paid
| Contact for pricing
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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
| - Shorten the path from interest to action
- Know your customers through rich transcripts
- AI-first data rights management with Lakebed™
- Brand safety controls at every stage
- Deep analysis of user actions performed on the website
- Operates wherever your customers are
- Real-time adaptive brand experiences
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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
| - Industry's first Brand Agent Platform for marketers and publishers
- Full control over brand voice, knowledge, and data while using AI
- Real-time consumer insights through Brand Agent interactions
- Secure data collaboration with Lakebed data rights management
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 51 ▼ −1 (down) since last check | 34 ● no change since last check |
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| Trust Flow (Majestic) | 17 | 10 |
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| Citation Flow (Majestic) | 37 | 32 |
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| Referring domains (Majestic) | 654 | 190 |
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4 details filled in for both companies.
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