UberLLM vs AI/ML API
Both cover chat, image, video, music and speech behind one key. UberLLM starts at a $5 top-up (vs. $20), routes each request to the cheapest healthy seller, publishes that failed generations cost nothing, and lets you cap the price per request; AI/ML API offers enterprise dedicated servers and private models, which UberLLM does not.
Right now UberLLM routes 455 models, 191 of them for images, video, music and speech.
UberLLM vs AI/ML API, side by side
| UberLLM | AI/ML API | |
|---|---|---|
| How you start | $5 minimum top-up, no subscription | $20 minimum top-up |
| Free to try | None, prepaid credit | No free plan (their help center); pricing page mentions a free playground tier |
| Fee on top of model prices | None per request; 5% when you add credit | 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 | Yes |
| Same model from many sellers | Yes | Not stated |
| Failed generations are free | Yes | Not stated |
| No-code app (no programming) | No | No |
| Run it on your own servers | No | No |
AI/ML API facts are from its own site as of 28 October 2026 (its pricing page). “Not stated” means AI/ML API does not publish it. The two companies are independent; AI/ML API is a trademark of its owner. UberLLM prices are live on the model board.
What AI/ML API is
AI/ML API is one API for 1000+ AI models across chat, image, video, music, voice, 3D, embeddings and more, under one bill. It is OpenAI and Anthropic compatible.
How you pay
Pay as you go: you top up between $20 and $20,000 and pay the per-model price for each call. There are no subscriptions; Enterprise pricing is custom, on request.
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 AI/ML API if
Teams that want one bill for a very wide catalogue, including 3D, OCR and embedding models, or an enterprise plan with dedicated servers and private models.
What AI/ML API does that UberLLM doesn’t
- Bigger published catalogue (1000+ models, incl. 3D, OCR and embeddings)
- Enterprise plan with dedicated servers and custom/private models
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 an AI/ML API alternative?
Yes. Both give you one API key for chat, image, video, music, speech and transcription models with OpenAI-compatible and Anthropic-compatible endpoints, billed per use from a prepaid balance.
How is UberLLM different from AI/ML API?
UberLLM is a marketplace that sends each request to the cheapest healthy seller for that model, and you can cap the price per request. A failed generation costs nothing. The only fee is 5% when you add credit, and the minimum top-up is $5. AI/ML API's top-ups start at $20, and it offers enterprise dedicated servers and private models, which UberLLM does not.
Does AI/ML API charge for failed requests?
Its help center says malformed requests are not charged, but you may still be charged when the problem comes from the model provider. UberLLM does not charge for a generation that fails.