Subquadratic releases SubQ Snap, a decision model for agents that processes 100 thousand tokens in about a second
Prepared by Sintelligent with the help of SI. Published in SI: . Updated: .
Another cheap, fast "decider" for agents has appeared that does not need to write long text.
According to Habr, the model accepts text and up to four images, has a 384 thousand token context window (12 times larger than Jev's), and returns a decision instead of text: a classification, a tool choice, an evaluation of a result. Linear rather than quadratic computational complexity is claimed (Subquadratic Sparse Attention). The price is $0.05 per million input tokens, with output free; the first 10,000 users get 100 million free tokens; access is a public preview. According to the developer, its decision index is 61.7 versus 57.9 for Jev.
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