Comparisons5 min read
LiteLLM vs Neural Router
LiteLLMis a widely used open-source library and proxy that normalizes many providers behind an OpenAI-style interface. If you're weighing a LiteLLM alternative or comparing it with Neural Router, the real question is how much you want to operate yourself versus consume as a service.
The core difference
| LiteLLM | Neural Router | |
|---|---|---|
| Model | Self-hosted proxy / library | Managed routing service |
| Provider normalization | Yes | Yes |
| Routing objective | Rules you write & maintain | Cost/quality/latency optimizer |
| Decision receipts | Build your own | Built in per request |
| Quality scoring & enforcement | DIY | Measured & enforced |
| Ops burden | You run and scale it | None |
Choose LiteLLM if…
- You want full control and are happy to self-host and maintain the proxy
- Your routing rules are simple and stable
- You need to run entirely inside your own infrastructure
Choose Neural Router if…
- You want routing that optimizes each request by cost and quality without hand-written rules
- You need an audit trail — a receipt for every routing decision
- You'd rather not run and scale a proxy fleet
These aren't mutually exclusive philosophies — both speak the OpenAI API, so you can trial Neural Router with a base-URL change and keep your options open.