Quick Start
- 1
- 2Use the SubQ API SDK or REST API to call
subq-1m-preview— see the documentation for request format.
Code Examples
About SubQ API
SubQ API exposes one public OpenAI-compatible Chat Completions model today: subq-preview. Official docs list text input/output with tool calls only. Long-context and benchmark claims on the launch post are vendor/third-party-verified — preserve that wording when comparing to independent leaderboard rows.
SubQ API is Subquadratic's OpenAI-compatible REST API exposing subq-preview for text Chat Completions with tool calls. Docs identify text-only modalities; interpret long-context benchmark claims with vendor/third-party-verified wording.
Pricing on SubQ API
Capabilities
About SubQ 1M-Preview
SubQ 1M-Preview is Subquadratic's first large language model, built on a fully sub-quadratic sparse-attention architecture that scales compute linearly with context length (O(n) vs. traditional O(n²)). Supports a production context window of 1M tokens (architecture tested to 12M). Achieves 81.8% on SWE-Bench Verified, 95.0% on RULER @128K, and 65.9% on MRCR v2 (8-needle, 1M). Claims 50x faster and 50x cheaper than leading frontier models at 1M context length. Available via OpenAI-compatible API with streaming and tool use support. Model is proprietary and not open-source; fine-tuning for customer-specific use cases is mentioned as a future capability.