LiteLLM vs OpenRouter
OpenRouter is a hosted gateway: one account, one key, hundreds of models, a margin on every token. LiteLLM is software you run that does the routing yourself against your own provider accounts. Choose OpenRouter for the shortest path to many models; choose LiteLLM when you want provider keys, spend data and prompt logs to stay yours.
At a glance
| LiteLLM (self-hosted) | OpenRouter (hosted) | |
|---|---|---|
| Who holds provider keys | You | OpenRouter |
| Token cost | Provider list price | Provider price plus a margin |
| Gateway cost | Flat monthly instance | None |
| Prompt and response logs | Your database | Their platform |
| Access to models without an account | No — you need the account | Yes, that is the point |
| Virtual keys and budgets | Yes, per team or app | Yes |
| Local models behind the same endpoint | Yes | No |
The real difference is custody, not features
Feature lists here look similar — both route by model name, both do fallbacks, both can cap spend. The decision is about where three things live: your provider API keys, the record of what you spent, and the text of every prompt and response that passes through.
With a hosted gateway all three sit with the vendor. That is a perfectly reasonable trade for speed of setup. It becomes a problem when prompts contain customer data, when finance wants spend attributed per feature, or when a compliance review asks where the logs are.
Where OpenRouter is clearly better
Breadth without paperwork. Trying a model from a provider you have no account with is one line of configuration, not a procurement exercise. For experimentation, prototypes and small teams that would rather not manage five vendor relationships, that is worth real money.
There is also no gateway to operate, patch or monitor — because it is not yours.
Where LiteLLM wins
At volume the margin matters: a percentage on every token is a percentage on a growing bill, against a flat instance that costs the same whether you send a thousand requests or a million. LiteLLM also puts local models behind the same endpoint, so an Ollama plan can serve the cheap, high-volume, or sensitive calls while a frontier model handles the hard ones.
And the spend log is a database you can query, which tends to be the feature finance actually wanted.
Using both is common
A frequent arrangement: LiteLLM as the single endpoint every application talks to, with OpenRouter configured as one of the providers behind it for long-tail models. You keep custody and routing, and still reach anything OpenRouter carries.
The verdict
Prototyping or small team, breadth matters most: OpenRouter. Production traffic, sensitive prompts, or a finance team asking where the money goes: LiteLLM on your own instance, from $5.99/month, with Langfuse beside it for traces.
Mentioned on this page
LiteLLM
One OpenAI-compatible endpoint in front of every model provider you use.
from $5.99/moDetails →
Langfuse
Tracing, evaluation and prompt management for LLM applications.
from $11.99/moDetails →
Ollama
Your private LLM server — pull a model, get an API, keep every token on your own box.
from $16.99/moDetails →
Opik
Open-source evaluation and monitoring for LLM applications.
from $11.99/moDetails →Questions
Does a self-hosted gateway add latency?
Can LiteLLM use OpenRouter as a provider?
Do I still need provider accounts with LiteLLM?
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