Audience

SubQ 1.1 Small is best suited for enterprises, AI teams, software engineering groups, legal teams, financial analysts, and research organizations that need efficient long-context reasoning across large documents, codebases, filings, contracts, and complex information collections

About SubQ 1.1 Small

SubQ 1.1 Small is a long-context AI model from Subquadratic designed to reason over complete enterprise artifacts such as codebases, document collections, contracts, and financial filings. It uses Subquadratic Sparse Attention, or SSA, to reduce the high compute costs normally associated with processing very large context windows. The model delivers near-perfect long-context retrieval across 1M, 2M, 6M, and 12M token tests while using far less attention compute than dense attention. SubQ 1.1 Small also maintains strong general reasoning, coding, knowledge, and agentic task performance across multiple benchmarks. Its capabilities make it useful for financial analysis, legal review, contract work, software engineering, due diligence, and other workflows where information is spread across large artifacts. SubQ is built for organizations that want to move beyond fragmented retrieval pipelines and enable direct reasoning over massive bodies of information.

Integrations

API:
Yes, SubQ 1.1 Small offers API access

Ratings/Reviews

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Company Information

Subquadratic
Founded: 2026
United States
subq.ai/subq-1-1-small-technical-report

Videos and Screen Captures

SubQ 1.1 Small Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

SubQ 1.1 Small Frequently Asked Questions

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Q: Does SubQ 1.1 Small have an API?
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SubQ 1.1 Small Product Features

SubQ 1.1 Small Additional Categories