SubQ launches Snap, a long-context decision model with 384K context at $0.05/M input tokens
ryanallred · x · 2026-10-13
Startup SubQ announced Snap, pitched as the first long-context decision model for enterprise work:
- 384K multimodal context, 12x larger than Jev
- Scores 61.7 on Decision Index v0.2.1 vs. Jev's 57.9, outperforming on 13 of 16 enterprise benchmarks
- Compute per token stays constant as context grows; processes 100K tokens and returns a decision in under a second
- Pricing: $0.05/M input tokens, free output; first 10,000 sign-ups get 100M free input tokens
The post also demoed a lead-qualification dashboard built on SubQ's Decisions API: upload a CSV, define your ideal customer, and sort leads into Good Fit / Reject / Manual Review with structured judgments (categories, scores, yes/no probabilities).
Related event: Subquadratic Launches SubQ Snap, a 384K-Context Decision Model(9 posts)→
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