Subquadratic releases SubQ 1M with 12M token context at 1/5 frontier cost
Subquadratic launched SubQ 1M-Preview on May 5 with a native 12 million token context window using sparse, subquadratic attention instead of standard transformers. The model costs roughly one-fifth the price of frontier alternatives and achieves up to 52x faster attention at scale.
Subquadratic released SubQ 1M-Preview on May 5, backed by $29M in seed funding. The model breaks the O(n²) cost ceiling that has constrained long-context inference across the industry by replacing standard quadratic attention with a sparse, subquadratic architecture. Native 12 million token context window enables use cases that frontier models either cannot handle or require prohibitive inference costs.
Architectural shift away from transformers