Aleph Alpha releases Kolibri, open-weight 78B English-German MoE model

Kolibri is a 78.1B-parameter Mixture-of-Experts (MoE) model activating only 3.46B parameters per token. It has a 1M-token context, per-request reasoning effort, and Apache 2.0 FP8 weights that run on a single B200 or H200 GPU.

Why it matters: A very sparse design with permissive licensing puts large-model capacity within single-GPU reach for European organizations that want data-sovereign deployments. It is also the same company whose study on Chinese models' bias markets sovereign AI, so expect it to position Kolibri as a regional alternative.