Using SubQ Snap on SubQ API

Implementation guide · SubQ Snap · Subquadratic

Serverless

SubQ API exposes SubQ Snap through model ID subq-snap-preview. Use the setup steps, sourced pricing, capabilities, and official provider links below to validate this route before deployment.

Last refreshed 2026-10-13. Next refresh: weekly.

Quick Start

  1. 1
    Create an account at SubQ API and generate an API key.
  2. 2
    Use the SubQ API SDK or REST API to call subq-snap-preview — see the documentation for request format.
  3. 3
    You'll be billed $0.05/1M input, Free/1M output tokens. See full pricing.
API PortalDocumentationPricing

Code Examples

See SubQ API documentation for integration details.

Pricing on SubQ API

TypePrice (per 1M)
Input tokens$0.05
Output tokensFree

Capabilities

VisionMultimodalStructured Outputs

About SubQ Snap

SubQ Snap is Subquadratic's long-context multimodal decision model, built on Subquadratic Sparse Attention (SSA) with a decision head that maps the input to a probability distribution over the allowed answers. It accepts text and up to 4 images per request within a 384K-token (393,216) context window and answers 1–16 named noul (yes/no), choice, or score questions per call. Released 2026-10-12 in public preview on the SubQ Decisions API as subq-snap-preview. Subquadratic reports 61.7 on Decision Index 0.2.1 (vs 57.9 for Jev) and 82.9% on Bespoke Nimble 13; these are vendor-reported. Not a chat model.

Full model details →

Model Specs

Released2026-10-12
Context384K

Provider

SubQ API

Subquadratic