Is ModelBeat an alternative to LiteLLM?

For the same job, yes. Both put one OpenAI-compatible endpoint in front of many models. They differ in who runs it: LiteLLM is self-hosted open source, ModelBeat is managed, with on-premises as a licensed option.

The base proxy is open source and free to self-host. Features such as SSO, audit logs and some budget controls need an Enterprise licence, which is quoted by deployment size. A free 30-day trial is offered.

Can I use ModelBeat with code written for the OpenAI SDK?

Yes. Change the base URL. Routing, failover and per-request cost accounting come with it.

ModelBeat vs LiteLLM: a hosted LLM gateway against a self-hosted one

ModelBeat and LiteLLM are both LLM gateways: one OpenAI-compatible endpoint in front of many models, with fallbacks and per-request cost tracking. The difference is who runs it. LiteLLM is an open-source proxy you deploy and operate yourself. ModelBeat is a managed gateway you point a base URL at, with on-premises deployment available under licence.

Last checked 27 October 2026 against LiteLLM’s own docs and pricing pages.

The short answer

If you want to run the gateway yourself and already have the team to do it, LiteLLM is a mature open-source choice. If you want a managed endpoint that scores each request before it runs, with a vetted model set and an append-only audit log, and no proxy to operate, that is what ModelBeat is for.

Side by side

ModelBeat compared with LiteLLM, row by row.
Topic	ModelBeat	LiteLLM
What it is	A managed LLM gateway and model router, drop-in compatible with the OpenAI API.	An open-source, self-hosted AI gateway: one OpenAI-compatible endpoint for 100+ providers.
Who runs it	Cloud: we do. Hybrid and on-premises: you run it, under licence.	You do. The docs cover Docker, Helm and Terraform, and a Postgres database.
How a request is routed	Scored on capability, cost and residency before inference, rather than after a failed attempt.	Load balancing and fallbacks move traffic between deployments when a provider has a problem. The docs page does not name specific routing strategies.
Which models are available	A vetted set. Elytra probes and bands every model before ModelBeat will route to it.	100+ providers. The page does not describe a vetting step.
Cost tracking	The intelligence tier that answered, token counts and price attached to every response.	Per-request cost, with spend by key, team, user and tag.
Keys and budgets	Virtual keys with request and token ceilings per team or app, enforced ahead of the call.	Virtual keys per user, team or project, each with its own models, budgets and rate limits. Some budget types, such as tag-based budgets, are Enterprise.
Audit logs	Append-only audit log, kept seven years.	Listed as an Enterprise feature.
SSO and role-based access	Not described on this page. See the security page for what is shipped.	SSO, SCIM and role-based access are Enterprise features. SSO is free for up to 5 users.
Price	Prepaid credit, no seats. Rates starting at $1.44 per million input tokens and $7.20 per million output, a published floor that can run higher depending on which model served the request.	The open-source proxy is free to run. Enterprise is quoted by deployment size, with a free 30-day trial.

Choose LiteLLM if

You want to host and operate the gateway yourself, and want the code to be open source.
You need the widest provider coverage, and you will do the vetting yourself.
You have platform engineers to run a proxy and its database.

Choose ModelBeat if

You want a managed endpoint and no proxy or database to operate.
You want every request scored before it runs, from a model set that has been vetted first.
You want an append-only audit log, and published rates rather than a quote.

Questions

Sources, read 27 October 2026

Products change. If something here is out of date, tell us at hello@neuralarc.ai and we will correct it. Compare more on the comparison hub.