SubQ launches Snap, a long-context decision model with constant compute per token and 100M free tokens for 10,000 sign-ups

SubQ describes Snap as the only decision model or LLM where compute per token stays constant as context grows. It offers 384K tokens of multimodal context, scores 61.7 on Decision Index v0.2.1 versus Jev's 57.9, and outperforms on 13 of 16 enterprise benchmarks. It processes 100K tokens and returns a decision in under one second, at $0.05 per million input tokens with free output. The first 10,000 sign-ups receive 100M free input tokens. Latency varies as the platform is tuned; model speeds range from 80ms to 2.5 seconds.

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