Subquadratic vs SayToken
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 SayToken
| Detail | 
Subquadratic | 
SayToken |
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| What it does | Efficiency is Intelligence
| Create AI agents ready in minutes, no coding required
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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
| Freemium
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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
| - Create AI agents with custom tone, rules and objectives
- Train agents with business context and knowledge files
- Publish on multiple channels: web, widget, API, WhatsApp, phone, MQTT/IoT
- 24/7 automated customer support
- Measure and optimize agent performance
- Multilingual support without losing context
- No coding required
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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
| - Deploy first AI agent in under 10 minutes
- Free account with no credit card required
- Single platform for creation, configuration and deployment
- Support multiple agent types for different use cases
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 52 ▲ +1 (up) 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 | 0 |
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| Referring domains (Majestic) | 654 | 0 |
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4 details filled in for both companies.
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