Subquadratic is a groundbreaking AI tool designed to handle long-context reasoning tasks with an impressive capacity of 12 million tokens. This innovative model is built on a fully sub-quadratic sparse-attention architecture, which allows it to focus on the most relevant relationships between words, significantly reducing computational waste. By processing only the necessary connections, Subquadratic achieves a remarkable efficiency, enabling it to perform complex reasoning across extensive data sets, such as entire code repositories and lengthy project histories, without sacrificing quality. This makes it particularly suitable for developers and teams who require deep insights from vast amounts of information. The tool operates at a speed of 150 tokens per second and offers a cost-effective solution, priced at one-fifth of other leading large language models (LLMs). Subquadratic provides two primary modes of use: an API for developers and enterprise teams, allowing for the processing of full repositories in a single call, and a specialized coding agent layer that integrates with existing coding tools, enhancing the speed and efficiency of code exploration and context gathering. With third-party validated results demonstrating its capabilities in long-context retrieval and coding tasks, Subquadratic is positioned as a leader in the evolving landscape of AI-driven reasoning.