Models we serve through our OpenAI-compatible API. Prices and context windows: https://api.lambdaq.org/v1/models
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LambdaQ Labs runs LambdaQ, an OpenAI-compatible inference API. One base URL, one API key and one billing account for 220 models — open-weight and proprietary, across text, embeddings, images and speech.
One API, many models
Point any OpenAI client at https://api.lambdaq.org/v1 and change the model id.
Chat completions, plain completions, embeddings, image generation and speech synthesis all
speak the shapes you already have code for, streaming and tool calling included.
Prices are published, not quoted
GET /v1/models carries the price and context window of every model we serve, in the
unit each one is actually billed in — per million tokens for text, per image, per character
for speech. The rate you read there is the rate you are charged.
Built to stay up
Most models run on more than one upstream, with automatic failover and per-route circuit breakers, so one supplier's outage is not ours. Long generations are kept alive rather than cut off, and every response carries a request id you can reconcile spend against.
Getting started
from openai import OpenAIclient = OpenAI(base_url="https://api.lambdaq.org/v1", api_key="<your LambdaQ key>")
print(client.chat.completions.create( model="deepseek-v3.2", messages=[{"role": "user", "content": "Say hello"}], ).choices[0].message.content)
lambdaq.org · live model catalogue and pricing · console
LambdaQ Labs Private Limited. Our Hugging Face Inference Providers integration is in review; until it lands, call the API directly.
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