Subquadratic Announces SubQ Snap, A Decision Model With 384,000-Token Input
Subquadratic announced SubQ Snap, a decision-making model for agent workflows that handles up to 384,000 tokens of text and images, a context window the company describes as twelve times that of Jev. It processes requests of up to 100,000 tokens in under one second, scores four points higher than Jev on Decision Index version 0.2.1, and costs $0.05 per million input tokens with no charge for output.