One window. A surprising amount of range.
Here’s what people actually reach for it — every day, all on one model.
Read a whole document, not a fragment
Drop in a contract, a research paper, or an entire codebase. With 1M of context it holds the whole thing in mind — so answers cite the real detail instead of guessing from an excerpt.
Write and debug real code
Ask for a function, paste a stack trace, or hand it a module to refactor. It reasons across files, explains the fix, and gives you something you can actually run.
Draft, then refine until it sounds like you
From a rough first pass to a finished email, post, or spec — set the tone, trim the length, change the angle, and iterate until it reads exactly the way you want.
Tell it once — it remembers
Your stack, your preferences, the project you’re on. Memory carries across sessions, so you never open a new chat and start from scratch again.
Built on one foundation
Every app inherits the same model and systems layer.
One model behind all of it — 1M context, trained for reasoning, writing, and code.
Context that carries between sessions, so your apps pick up where you left off.
Repeated work is served from cache — faster responses at a lower cost.
One egress gate on every response. Your data is never used for training.
Prefer to build your own?
The same model powers our OpenAI-compatible API. Point your SDK at our endpoint and ship your own app.