LLM Reference

SubQ API

Researched 32d agoAI Lab

Subquadratic

RAGAgentsLong contextJSON / Tool use

SubQ API offers 1 tracked model (0 with output token pricing). This catalog covers rag, agents, and long context; open any model detail page for benchmarks, batch tiers, and migration prompts.

Covers 4 workload areas across 1 tracked model; last verified 2026-05-25.

Use it for

  • Operators routing rag, agents, and long context workloads through this API

Do not use it for

  • Final benchmark picks without opening the relevant model detail page
  • Strict price-per-token comparisons until output pricing is sourced

Tracked models

1

Models available through this provider

Priced output routes

0

Output pricing not yet tracked

Cheapest output

Unknown

Output pricing not yet tracked

Batch-ready models

0

No batch pricing tracked

Latest model release

2026-05-05

52d since newest release

Freshness

2026-05-25

Researched 32d ago

aging

Information

TypeAI Lab
Models1
CompanySubquadratic
Founded2026

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).

Catalog freshness

The newest model tracked on this provider was released 2026-05-05 (52d ago).

Where this host wins

  • RAG: 1 tracked model with ruler / needle retrieval benchmarks.
  • Agentic: 1 tracked model with BFCL, tau-bench, and SWE-bench tool-use coverage.
  • Long-context: 1 tracked model with context-token or InfiniteBench-class signal.
  • JSON/tool-use: 1 tracked model with BFCL / Nexus strict-JSON routing coverage.

Getting started

Official product, docs, and pricing links — confirm quotas and regions in the vendor docs.

Compliance notes

No verified compliance claims (SOC 2, ISO, HIPAA) tracked for this provider yet — check the vendor's trust center for current certifications.

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.

Compare per-model pricing, input and output token costs, batch availability, and benchmark coverage.

Available Models(1)

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All models available as Serverless

Contact provider for pricing