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Subquadratic
Large Language Models
Paid

Subquadratic

The first sub-quadratic LLM designed for 12M-token reasoning, enabling efficient, linear-cost processing of massive codebases, long histories, and complex persistent states for developers and agents.

Rating
0
Reviews
0
Upvotes
4 months ago
Listed
Large Language Models
Long Context
Coding Assistant
Sparse Attention
Developer Tools
Code Analysis
AI Infrastructure
Token Efficiency
Repository Mapping
Tool information
Provider
Subquadratic Inc.
Platforms
Web
API
Languages
English
API Available
Yes
Added to directory
4 months ago
Last updated
3 months ago
Rating
Not available
Pricing
Paid

About Subquadratic

What the tool does and who it's for

Subquadratic (SubQ) is a groundbreaking, sub-quadratic language model developed by Subquadratic Inc., designed specifically for extreme long-context tasks. By implementing a fully sub-quadratic sparse-attention design, it moves away from traditional transformer architectures that process all word relationships, instead focusing only on relevant connections to optimize computational resources. This allows the model to reason across up to 12 million tokens, enabling it to process extensive repositories, long-term histories, and persistent states efficiently. SubQ provides an API for developers to process entire codebases and pipeline states in single calls at a linear cost, serving as a powerful long-context layer for coding agents like Cursor, Claude Code, and Codex.

Key capabilities

12 million token context window
Fully sub-quadratic sparse-attention architecture
Linear cost scaling for API calls
Processing for entire code repositories and pipeline states
Efficient reasoning for long-history data
Optimized for coding agents like Cursor, Codex, and Claude Code
Foundational shift from traditional transformer designs
High-performance multi-modal inference

Pricing

Paid — plans below

API Access

Most popular

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  • Full repository processing
  • Pipeline state analysis
  • Linear cost structure
  • Integration for coding agents

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