Which model limits matter before you choose one?
Choose a model that handles the type of input you have and check whether Groq lists it for production or preview. Compare model charges in the units the vendor lists. Text models can price input and output separately, while audio can use time.
Why might an app hit a limit after only a few requests?
Groq lists separate limits for requests, tokens and some audio usage. Tokens are the pieces of text the model processes. A few long inputs can reach the token limit before the request limit. The limits apply at organization level, so other app features may share them.
What does Groq retain?
Groq says it always retains usage metadata. It says ordinary inference content is not retained by default, with exceptions for some features and reliability or abuse investigations. Check the organization’s Data Controls and the feature you intend to use. A batch or fine-tuning job has a different retention path from an ordinary call.
How should a demo app handle a burst of requests?
On paper, give a fictional recipe-summary feature a short input and a long input. Give them the same request count but different amounts of text.
- Find the likely limitWrite which batch would use more tokens and why a request count alone misses it.
- Choose the next actionDecide how the app tells readers to try again later, and how you would check the model and account limits before changing the plan.