Kolibri uses a mixture-of-experts architecture with 78B total parameters and 3.46B active parameters, supporting a 1M token context window. It was built to comply with the EU AI Act and GDPR, utilizing a bilingual tokenizer where 21.3% of pre-training tokens are German. While released under an Apache 2.0 license for local hosting, researcher Ethan Mollick noted the system was fine-tuned on synthetic data generated by Chinese models GLM and Qwen.
Tuesday, October 20, 2026
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Aleph Alpha Kolibri Beats Qwen With 96.9% AIME Score
AI17 days ago
The newest open-weight model from Germany outperformed a variety of international rivals in European language evaluations. In tests conducted by developer Aleph Alpha, Kolibri scored 96.9% on the AIME 2025 math benchmark and 84.3% on GPQA Diamond, with a German overall score that narrowly surpassed Qwen3.5 35B-A3B and GPT-OSS 120B. Its performance in coding was less dominant, reaching 66.4% on SWE-Bench Verified, behind the 73.8% marked by Qwen3.6.
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