Subquadratic vs ARIA Protocol
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 ARIA Protocol
| Detail |
Subquadratic |
ARIA Protocol |
| What it does | Efficiency is Intelligence
| Open protocol for AI agent identity, DNS-anchored and post-quantum native, governed by a nonprofit
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| Stage | Startup
| Startup
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| Founded | Not given
| 2026
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| Based in | US
| MX
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| Pricing model | Paid
| Open source
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| Pricing | Free 100M tokens for new users. $0.04 per 1M tokens for input tokens.
| Free to use. L0 credentials issued today. L1 enabled in agent.bar demonstration. L2 and L3 specified but not yet issued.
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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
| - W3C Verifiable Credentials (AID format)
- Four trust levels (L0-L3) with progressive verification
- DNS anchoring starting at L1
- ML-DSA-65 + Ed25519 composite signatures
- ARIA AP for signed requests and receipts
- Append-only Trust Ledger with credential lifecycle events
- Revocation capability with signed status lists
- Public REST API verification endpoint
- TypeScript SDK for credential verification
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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
| - Post-quantum native from launch, not a migration plan
- Governed by nonprofit to prevent capture
- Complements existing protocols without replacing them
- L0 credentials issued and verifiable today
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 52 ▲ +1 (up) since last check | 23 ● no change since last check |
| Trust Flow (Majestic) | 17 | 7 |
| Citation Flow (Majestic) | 37 | 20 |
| Referring domains (Majestic) | 654 | 10 |
7 details filled in for both companies.
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