Comparison

LiteLLM vs a hosted gateway: when self-hosting stops being worth it

LiteLLM and a hosted gateway like Zylo solve the same problem — call many model providers through one OpenAI-compatible interface — but in opposite ways. LiteLLM is an open-source library and proxy you run yourself; a hosted gateway is a managed service. Here is when each makes sense.

LiteLLM: maximum control, you run it

A hosted gateway: managed, one key, one bill

When self-hosting stops being worth it

Self-hosting earns its keep when you need control it uniquely provides — strict data boundaries, custom routing, or on-prem. It stops being worth it when the proxy becomes one more service to patch, monitor and page someone for at 3am, and when juggling a key per provider outweighs the savings. At that point a managed, OpenAI-compatible gateway removes the ops burden without changing your code.

Either way, your code is portable

Python
from openai import OpenAI

client = OpenAI(api_key="ZYLO_KEY", base_url="https://api.zyloai.net/v1")

response = client.chat.completions.create(
    model="claude-opus-4.8",
    messages=[{"role": "user", "content": "Hello from Zylo!"}],
)
print(response.choices[0].message.content)

Both speak the OpenAI format, so you can start on one and move to the other by changing base_url. See the gateway checklist and live pricing.

Frequently asked questions

What is the difference between LiteLLM and a hosted gateway?

LiteLLM is an open-source proxy you deploy and maintain yourself and you still hold each provider's key; a hosted gateway like Zylo is managed, with one key, one bill and built-in features — nothing to run.

When should I self-host LiteLLM?

When you need control it uniquely provides — strict data boundaries, on-prem or VPC deployment, or custom routing — and you have the ops capacity to run and patch it.

Can I move between LiteLLM and a hosted gateway later?

Yes. Both are OpenAI-compatible, so switching is mostly changing the base URL in your client.

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