- Use your own naming conventions (aliases) for existing models.
- Add a newly released model from a supported provider before we’ve listed it.
Why use a custom model?
Custom models let you create multiple aliases for the same underlying model. This is useful when:- Different use cases: Reuse the same base model but track usage separately.
- Analytics: Monitor usage by alias, not just the raw model name.
- Try new models before we’ve listed them.
How to create a custom model

- Go to the Models page and select
+ Create custom model
. - Fill out the form: model name, provider, costs, modality, etc.
- Save — your custom model will now appear in the model list.
- Copy the model ID and use it in your code.
Copy from a base model
Instead of starting from scratch, you can also copy a base model and give it a new name. This saves time if you just want multiple aliases of the same model without reconfiguring everything.FAQ
Can I use a custom model in the LLM Gateway?
Yes — as long as it maps to a valid provider model. Example: If OpenAI launchesgpt-6
, you can add it as a custom model and immediately call it through the AI Gateway.