Partnerships
May 14, 2026
Subquadratic
SubQ is a sub-quadratic LLM built for 12M-token reasoning, allowing agents to work across full repositories, long histories, and persistent state without quality loss.
Request early access →Reason across 12M tokens in one prompt: entire repos, months of PRs, and long-running agent state, with room to spare at one-fifth the cost.
The entire 3.13 standard library
~5.1M~1,050 pull requests against the React codebase
~7.5M~ Approximate token counts.
SubQ is the first model built on a fully sub-quadratic sparse-attention architecture. LLMs today waste compute by processing every possible relationship between words, but only a small fraction of these relationships matter.
SubQ finds and focuses only on those, ensuring compute is used where it matters most. At 12M tokens, this reduces attention compute almost 1,000×, changing the way LLMs scale.
Quadratic attention — every token attends to every other token, wasting compute on irrelevant connections.
Linear sparse attention — only the relationships that matter are computed, making long context practical.
Technical report (coming soon)
| Benchmarks | Gemini 3.1 Pro | Opus 4.6 | Opus 4.7 | GPT-5.4 | GPT-5.5 | SubQ 1M-Preview |
|---|---|---|---|---|---|---|
| SWE-Bench Verified Real-world software engineering ability |
80.6% | 80.8% | 87.6% | n/r | n/r | 81.8% |
| RULER @ 128K Long-context accuracy across 13 tests |
n/r | 94.8%* | n/r | n/r | n/r | 95.6% |
| MRCR v2 (8-needle, 1M) Multi-round coreference resolution in long contexts |
26.3% | 78.3% | 32.2% | 36.6% | 74.0% | 86.2% |
n/r = result was not reported by the model provider · * = internally evaluated
SubQ results are third-party validated
For developers and teams
The full-context API for developers and enterprise teams. Process full repositories and pipeline states in a single API call at linear cost.
For coding agents
The long-context layer for coding agents. Plug into Claude Code, Codex, and Cursor to map codebases, gather context, and answer token-heavy questions faster.
Partnerships
May 14, 2026
Product
May 5, 2026
Technical
Updated May 15, 2026
Subquadratic is a frontier AI research and infrastructure company building a new class of LLMs. While other major labs focus on incremental improvements to Transformer models, we're pushing foundational change at the model architecture level — enabling large-context, multi-modal inference that scales efficiently where transformers can't.