SubQ API
AI LabSubquadratic
Platform Overview
SubQ API is Subquadratic's OpenAI-compatible API platform providing access to their SubQ large language models. The platform features a 12 million token context window powered by a novel sub-quadratic sparse-attention architecture (O(n) compute complexity), enabling long-context reasoning at a fraction of the cost of comparable transformer-based models. Key capabilities include streaming, tool use, and a coding agent integration (SubQ Code) compatible with Claude Code, Codex, and Cursor. The API is currently in private preview with early access available by request.
Available Models(1)
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Organization
Subquadratic is a frontier AI research and infrastructure company launched in May 2026 with $29M in seed funding. Led by CEO Justin Dangel (five-time founder) and CTO Alexander Whedon (former Meta engineer), the company's team includes 11 PhD researchers and engineers from Meta, Google, Oxford, Cambridge, ByteDance, Adobe, and Microsoft. Their flagship model SubQ is built on a fully sub-quadratic sparse-attention architecture that scales linearly with context length, enabling a 12M-token context window with 50x lower compute cost than leading frontier models at the same context length. Products include SubQ API (OpenAI-compatible REST API), SubQ Code (CLI coding agent), and SubQ Search (long-context search).