Subquadratic
What is Subquadratic?
Subquadratic is an AI research and infrastructure company developing long-context language models for whole-artifact reasoning. Its SubQ model uses Subquadratic Sparse Attention, a content-dependent architecture designed to scale linearly in compute and memory with sequence length. The platform targets developers, enterprise teams, researchers, and coding-agent users working with repositories, document collections, knowledge bases, and persistent agent state. Its API supports contexts of up to 12 million tokens, streaming, tool use, and OpenAI-compatible endpoints. Subquadratic currently presents its products through a private preview and does not publicly list standard pricing.
How to use Subquadratic?
1. Request private preview access through the Subquadratic website and provide your contact and company details. 2. Choose the API or SubQ Code product and connect it to your application or supported coding workflow. 3. Submit a large-context task, such as repository analysis or long-history reasoning, and review the generated response.
Subquadratic's Core Features
12M-Token Context Window: Process repositories, histories, and document collections within a single long-context workflow.
Subquadratic Sparse Attention: Reduce attention compute by focusing processing on content-relevant token relationships.
Long-Context Retrieval: Retrieve relevant facts across million-token inputs with the model's reported high retrieval accuracy.
Whole-Artifact Reasoning: Analyze complete codebases and document collections instead of relying solely on fragmented retrieval.
OpenAI-Compatible Endpoints: Integrate the API into compatible developer workflows with familiar endpoint conventions.
Streaming and Tool Use: Support interactive application workflows that require streamed output and external tool interactions.
Coding-Agent Integration: Connect SubQ Code with Claude Code, Codex, and Cursor for context-heavy coding tasks.
Automatic Model Routing: Redirect expensive model turns through SubQ Code to improve efficiency in supported coding workflows.
Linear-Scaling Architecture: Make multi-million-token inference more practical by using an architecture designed for linear scaling.
Subquadratic's Use Cases
- #1
Analyzing an entire software repository without manually selecting or chunking files
- #2
Mapping dependencies and answering complex questions across large codebases
- #3
Reviewing months of pull requests, issues, and engineering history in one workflow
- #4
Reasoning over complete document collections, contracts, or research archives
- #5
Maintaining context across long-running autonomous coding-agent tasks
- #6
Processing large pipeline states and operational artifacts through an API
- #7
Building enterprise applications that require OpenAI-compatible long-context inference
Frequently Asked Questions
Analytics of Subquadratic
Monthly Visits Trend: Jan 2026 - Sep 2026
Traffic Sources
Top Regions
| Region | Traffic Share |
|---|---|
| United States | 85.33% |
| India | 10.03% |
| Canada | 4.22% |
| Philippines | 0.25% |
| Colombia | 0.17% |
Top Keywords
| Keyword | Traffic | CPC |
|---|---|---|
| subquadratic | 890 | $5.71 |
| subq ai | 430 | $3.92 |
| subq | 2.1K | $3.91 |
| subquadratic ai | 530 | $4.60 |
| subquadradic | 110 | -- |
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