Audience

Developers, AI engineers, and enterprises that need large-context language models for coding, data analysis, and advanced AI workflows

About SubQ

SubQ is a large language model developed by Subquadratic, designed specifically for long-context reasoning tasks. It can process up to 12 million tokens in a single prompt, allowing it to analyze entire codebases, long histories, and complex datasets at once. The model uses a sub-quadratic sparse-attention architecture that improves efficiency by focusing only on the most relevant relationships in the data. This approach reduces computational overhead while maintaining strong performance on large-scale tasks. SubQ is optimized for use cases such as software engineering, coding agents, and long-context retrieval. It delivers fast processing speeds and operates at a lower cost compared to many traditional models. Developers can access SubQ through APIs or integrate it into coding tools for enhanced workflows. Its architecture enables scalable AI reasoning without the limitations of standard transformer models.

Integrations

API:
Yes, SubQ offers API access

Ratings/Reviews

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Company Information

Subquadratic
Founded: 2026
United States
subq.ai/

Videos and Screen Captures

SubQ Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

SubQ Frequently Asked Questions

Q: What kinds of users and organization types does SubQ work with?
Q: What languages does SubQ support in their product?
Q: What other applications or services does SubQ integrate with?
Q: Does SubQ have an API?
Q: What type of training does SubQ provide?

SubQ Product Features