SubQ launches Snap: 384K-context decision model with constant compute, $0.05/M input tokens
ryanallred · x · 2026-10-13
SubQ introduced Snap, billed as the first long-context decision model for real enterprise work, whose headline claim is constant compute per token as context grows.
- 384K-token multimodal context, 12x larger than Jev
- Scores 61.7 on Decision Index v0.2.1 vs Jev's 57.9, winning 13 of 16 enterprise benchmarks
- Processes 100K tokens and returns a decision in under one second
- Pricing: $0.05/M input tokens, output free
Available today to everyone; the first 10,000 sign-ups get 100M free input tokens. The team says capacity is limited and users will be added as compute grows, with compute offers welcome. Sample use case: rereading every open ticket against a full 34-page SLA policy to prioritize urgent ones, each decision in under 1s.
Related event: Subquadratic Launches SubQ Snap, a 384K-Context Decision Model(17 posts)→
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