Celeris

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-…")

stream = client.chat.completions.create(
    model="celeris-1",
    messages=[{"role": "user",
               "content": "Explain a Kalman filter"}],
    stream=True,
)

Experience the new paradigm of inference.