Subquadratic vs Jev AI
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 Jev AI
| Detail |
Subquadratic |
Jev AI |
| What it does | Efficiency is Intelligence
| Fast AI model for structured decisions with probabilities, no waitlist
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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.
| Starter plan: $10 one-time with 100,000 credits. Plans range from $10 to $1,000 one-time; monthly and yearly subscriptions also 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
| - Online playground for testing decisions
- REST API with typed schema
- Multiple decision types: choice, score, and noul
- Support for multiple decision models
- Agent integration through Jev Agent Skill
- Probability and confidence scores for decisions
- Support for text and JSON state input
- Batch question processing in one request
- Free playground runs included
- Interactive demos and examples
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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
| - Free online playground with no waitlist
- Low-latency structured decisions paired with LLMs
- Probability-backed decisions for risk-aware automation
- Keeps developer control over data and business rules
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 52 ▲ +1 (up) since last check | 22 ● no change since last check |
| Trust Flow (Majestic) | 17 | 4 |
| Citation Flow (Majestic) | 37 | 34 |
| Referring domains (Majestic) | 654 | 137 |
5 details filled in for both companies.
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