European open-source model Kolibri launches: 3.46B active parameters, supports 1M context window.
2026.10.04 23:24:11
Beating AI News Flash: German AI firm Aleph Alpha has released and open-sourced its English-German bilingual model Kolibri. The model uses a Mixture of Experts (MoE) architecture, with a total of 78.1 billion parameters, though only around 3.46 billion parameters are activated per token. Its weights have been uploaded to Hugging Face under the Apache 2.0 license. Kolibri supports tool calling and adjustable inference modes, with a maximum context window expandable to roughly 1 million tokens. The company recommends limiting daily deployments to within 262,000 tokens, as that is also the maximum context length the model was trained on. In Aleph Alpha’s official evaluations, Kolibri scored 96.9% on AIME 2025 and 85.9% on LiveCodeBench v6. Its combined English and German performance is slightly higher than Qwen3.5 35B-A3B (which also has around 3 billion activated parameters) but remains lower than the fully activated Qwen3.8 (27B).
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