The main trade-off I found is the RAM footprint on your backend workers. If you run the model locally, every Celery worker needs to load it into memory, so you end up needing much larger instances just to handle the overhead.

With Ada your workers stay lightweight. For a bootstrapped project, I found it easier to pay the small API cost than to manage the infrastructure complexity of fat worker nodes.