Cohere Labs' Tiny Aya L2-Thinker hits 90%+ in-language reasoning in 60 languages at just 3.35B
Cohere_Labs · x · 2026-09-11
Cohere Labs releases Tiny Aya L2-Thinker, a 3.35B-parameter model with 32K context trained to reason in the user's own language rather than defaulting to English.
- Data-centric SFT recipe mixing multilingual reasoning, multilingual non-reasoning, and English reasoning data
- Achieves above 90% (93% in the paper) in-language reasoning rate across 60 languages on 6 benchmarks: math, commonsense, cultural reasoning, instruction following, open-ended generation
- Ships open weights plus multilingual reasoning data covering 44 languages beyond English — the largest coverage the team is aware of
- Key finding: generalizing L2 reasoning to held-out languages needs broad language coverage, readily available non-reasoning data, and a strong English reasoning backbone
- Paper: arXiv:2609.10445
Related event: Cohere Open-Sources Tiny Aya L2-Thinker for Native Multilingual Reasoning(4 posts)→
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