SubQ Snap launches a 384K-context multimodal decision model, free 100M tokens for early users
ryanallred · x · 2026-10-13
Startup Subquadratic launched SubQ Snap, a multimodal long-context "decision model" aimed at fast routing-style decisions in enterprise agent workflows (tool selection, file opening, result checks):
- 384K context: fits a whole repo, data room, or agent history, versus 32K for typical decision models
- Cheaper and faster: claims a fraction of frontier LLM pricing with second-level latency
- Benchmarks: self-built Decision RULER (256K) score of 99.8; 74.0 vs 48.0 on long-context retrieval; averages +6.0 over Jev across 16 enterprise benchmarks (13 wins, 3 losses)
- Promo: free 100M tokens for the first 10,000 users; launch demo uses the "Hot Dog, No Hot Dog" meme
Note: most benchmarks are self-built and claims are unverified by third parties.
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