A foundation model built for long, consistent context — search GitHub, read arXiv papers, and reason over millions of tokens at once.
Powered by Quasar Foundation Model
Most models forget after a few pages. Quasar holds entire codebases, full papers, and long conversations — all at once.
22B
Parameters
10M+
Max context
O(N)
Linear scaling
Features
Connect repos, browse file trees, read source code, and search issues. Quasar understands your codebase in full context.
Search papers, reference by ID, and extract full text from PDFs. Ground your work in real, peer-reviewed research.
The model decides when to call tools — reading papers, fetching code, or searching. Not just chat, but autonomous research.
Use Cases
"Walk me through how auth works in this repo and find any security gaps."
"Find recent papers on RLHF and summarize how they compare to DPO approaches."
"I uploaded a spec PDF — extract the API requirements and flag any inconsistencies."
Quasar is in private beta. Join the waitlist and be the first to try it.