SubQ Snap Launches: 384K-Context 'Decision Model' With Constant Per-Token Compute, $0.05/M
ryanallred · x · 2026-10-13
Subquadratic launched Snap, billed as the first long-context 'decision model' for enterprise work, built on its SSA subquadratic architecture:
- 384K multimodal context, 12x larger than rival Jev
- Constant compute per token regardless of context length; processes 100K tokens and returns a decision in under a second
- Scores 61.7 on Decision Index v0.2.1 vs Jev's 57.9, leading on 13 of 16 enterprise benchmarks
- Priced at $0.05/M input tokens with free output; first 10,000 signups get 100M free input tokens
A companion demo shows the coding-agent use case: instead of reading a whole repo, Snap reads it once and passes only the files and lines that matter, sharply cutting input tokens.
More from Models
- SemiAnalysis: Anthropic A/B testing ~20% lower usage limits on some accounts — imjustnewatai · 2026-10-23
- Swift-1.5-Qwen3.8-27B ported to hipfire MQ4: 2.2x faster end-to-end than GGUF on a 7900 XT — Queasy_Asparagus69 · 2026-10-23
- Boundless offers abliterated DeepSeek V4.1 Flash for defensive security testing — MoonL88537 · 2026-10-23
- Anthropic uses Claude to formally verify security properties in 100+ open-source libraries at RISC-V assembly level — AnthropicAI · 2026-10-23
- Are models in an uncanny valley? Researcher warns users to stay vigilant — danielrock · 2026-10-23
- Uncensored Swift 1.5 Qwen 3.8 Flash Next Released as 4-bit GGUF with Strata-Ready Artifacts — jjusko20 · 2026-10-23