Same tasks, same scoring. Celeris lands within a few points of the frontier on accuracy - and at more than 10x the speed.
Current autoregressive models generate one token at a time. Every token depends on the one before it, making latency fundamentally sequential. Celeris is a new inference architecture for language models, built on diffusion, that achieves latency and quality previous diffusion systems could not.
The result is an OpenAI-compatible API that delivers intelligent responses in milliseconds.
from celeris import Celeris client = Celeris(api_key="sk-…") # same call shape you already know stream = client.chat.completions.create( model="celeris-1", messages=[{"role": "user", "content": "Explain a Kalman filter"}], stream=True, )
Experience the new paradigm of inference.