SubQ Snap
AssessTools
A decision model from Subquadratic designed to choose among predefined actions using very long context windows.
Why it's here
Placed in Assess: 1 article(s) of evidence from 1 source(s), led by model releases, with 1 in the last 30 days. Confidence 24%. Low accumulated evidence, so it defaults conservatively pending more signal.
Evidence (1)
- 7The New Stack·10/14/2026model_releaseSubquadratic launches Snap decision model with 384K-token context
Subquadratic has introduced Snap, a decision model that it says can handle up to 384,000 tokens of text and images in one request, far above Jev’s 32K-token decision window. The company says the model is designed to help AI agents make faster decisions over large codebases, documents, and interaction histories without chunking inputs into smaller parts.