Introducing the Trinity Builders Program.
This is a community credit grant that gives developers, researchers, and open-source builders free inference access to Trinity models on our API.
Why we're doing it: Open weights only go so far if you don't have the compute to actually build with them. We want to lower that barrier so you can run experiments, iterate, and ship real systems.
Who this is for:
- Open-source projects
- Research initiatives
- Prototypes and production applications
- Developer tooling
Grants range from < 50M tokens to > 1B tokens, allocated based on your submitted project.
Submitting an application does not guarantee approval. We'll review requests on a best-effort basis, and allocation depends on compute capacity, token budgets, and other operational priorities.
We can't wait to see what the community builds with Trinity.
Learn more and apply here: https://t.co/6IUkVgmZ0E
inference — Running a trained model to get answers — the phase where AI is actually used, as opposed to trained.
token — The chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.
open weights — A model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.
Why it matters
Free inferenceRunning a trained model to get answers — the phase where AI is actually used, as opposed to trained.Full definition → at meaningful tokenThe chunk of text a model reads and writes in — roughly three-quarters of a word — and the unit AI usage is billed in.Full definition → volume lowers the cost of building on open weightsA model whose trained parameters are published for anyone to download and run — unlike API-only models you can access but never possess.Full definition →, with grants allocated per project rather than guaranteed.
