SmolLM3: smol, multilingual, long-context reasoner

Small language models are becoming increasingly important as users seek capable models that can be deployed efficiently. The community has produced a fascinating range of capable small models, each pushing the boundaries of what’s possible at this scale. With SmolLM3, we’re excited to contribute a new competitive fully open 3B model:

SmolLM3 sits in the efficiency sweet spot. Our 3B model outperforms Llama-3.2-3B and Qwen2.5-3B while staying competitive with larger 4B alternatives (Qwen3 & Gemma3). Beyond the performance numbers, we’re sharing exactly how we built it using public datasets and training frameworks.

Model summary:

 

 

 

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