Subquadratic · Oct 12, 2026 · 9:30 PM

SubQ Snap is a 384K-context decision model for agent routing, tool picks, and checks

Subquadratic's public-preview Snap scores bounded answers (yes/no, choice, score) over up to 384K tokens of text and images in about a second at 100K, so coding agents can offload file selection, tool choice, and test verification while leaving generation to a frontier LLM. It averages 67.6 vs Jev's 61.6 on 16 enterprise Decision Index tasks, costs $0.05 per million input tokens with free outputs, and uses Subquadratic Sparse Attention instead of quadratic prefill.

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