UberLLM vs LiteLLM
LiteLLM is software you host and connect to providers you already pay; UberLLM is a hosted marketplace where one prepaid key reaches chat, image, video, music and speech models, each request goes to the cheapest healthy seller, and you have no servers or provider accounts to manage.
Right now UberLLM routes 455 models, 191 of them for images, video, music and speech.
UberLLM vs LiteLLM, side by side
| UberLLM | LiteLLM | |
|---|---|---|
| How you start | $5 minimum top-up, no subscription | Free, open source (self-hosted) |
| Free to try | None, prepaid credit | Free open-source version |
| Fee on top of model prices | None per request; 5% when you add credit | None on the open-source version; Enterprise pricing not publicly listed |
| Works with the OpenAI SDK | Yes | Yes |
| Works with Claude Code and the Anthropic SDK | Yes | Yes |
| Chat and text models | Yes | Yes |
| Image models | Yes | Yes |
| Video models | Yes | Yes |
| Music models | Yes | No |
| Same model from many sellers | Yes | Yes |
| Failed generations are free | Yes | Not stated |
| No-code app (no programming) | No | No |
| Run it on your own servers | No | Yes |
LiteLLM facts are from its own site as of 28 October 2026 (its pricing page). “Not stated” means LiteLLM does not publish it. The two companies are independent; LiteLLM is a trademark of its owner. UberLLM prices are live on the model board.
What LiteLLM is
An open-source AI gateway (proxy server and Python SDK) that you run yourself to call many model providers through one OpenAI-style API with your own provider keys. It adds virtual keys, budgets, spend tracking, load balancing and fallbacks.
How you pay
The open-source gateway is free; you run it on your own servers and pay each model provider directly. Enterprise adds SSO, audit logs and support at custom pricing through sales.
What UberLLM is
A marketplace for unused AI compute. Each request goes to the cheapest healthy seller for that model, behind one OpenAI- and Anthropic-compatible key.
How you pay
Pay per use at the price shown for each model, with nothing added per request. A 5% fee applies only when you add credit. A generation that fails costs nothing.
Pick UberLLM if
Developers who want the lowest live price for chat, image, video and music models under one key, using the OpenAI or Anthropic SDK they already have.
Pick LiteLLM if
Engineering teams that want to run their own gateway in their own cloud (even air-gapped), keep their existing provider contracts and keys, and control keys, budgets and routing themselves.
What LiteLLM does that UberLLM doesn’t
- Self-hosting, including air-gapped setups
- Use your own provider keys and contracts
- Virtual keys, team budgets and rate limits you control
- Enterprise SSO, audit logs and custom SLAs
Switch in one line
Point the SDK you already use at UberLLM. The same key covers chat, images, video, music and speech.
from openai import OpenAI
client = OpenAI(
base_url="https://api.uberllm.dev/v1", # the only line that changes
api_key="ull_your_key_here",
)
resp = client.chat.completions.create(
model="deepseek/deepseek-v4-flash",
messages=[{"role": "user", "content": "Hello!"}],
)
# the same key makes images (and video, music, speech)
img = client.images.generate(
model="venice/nano-banana-pro",
prompt="a red apple on a white table",
)FAQ
Is UberLLM a LiteLLM alternative?
Partly. Both give you one OpenAI-compatible and Anthropic-compatible API across many models. LiteLLM is a gateway you host and connect to your own provider accounts; UberLLM is a hosted service you pay per use, so you don't run servers or hold provider keys.
How is UberLLM different from LiteLLM?
With LiteLLM you run the proxy and pay each provider directly. With UberLLM you add prepaid credit ($5 minimum, 5% fee only when you add credit), pay the price shown per model with no fee per request, and each request goes to the cheapest healthy seller. Failed generations cost nothing, and you can cap the price per request. UberLLM has no self-hosted version.
Can I use LiteLLM and UberLLM together?
Since UberLLM exposes OpenAI-compatible endpoints, it can be added as an OpenAI-compatible endpoint behind a gateway like LiteLLM. Check LiteLLM's docs for how to add a custom OpenAI-compatible provider.