Subquadratic vs Skillburst
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 Skillburst
| Detail | 
Subquadratic | 
Skillburst |
|---|
| What it does | Efficiency is Intelligence
| Turn your team's best AI workflows into approved skills people can use inside the assistants they already have
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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
| Free trial
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| Pricing | Free 100M tokens for new users. $0.04 per 1M tokens for input tokens.
| Free during public pilot. Paid plans not yet available.
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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
| - Shared skill catalog with approvals and versioning
- GitHub-backed skills and automatic releases
- Support for Claude, ChatGPT, Cursor, Codex, and Gemini
- Role-based access and audit-ready governance
- Adoption measurement and rollout tracking
- Full version history and one-click rollback
- Skills with context files and scripts
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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
| - Non-technical teammates use skills by name without learning prompt engineering
- GitHub as single source of truth for technical teams
- Measure real adoption with joined, connected, and activated metrics
- Versioning and rollback without losing history
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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 | 19 |
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| Referring domains (Majestic) | 654 | 20 |
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5 details filled in for both companies.
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