Mistral Nemo

Mistral Nemo is a 12 billion parameter model developed jointly by Mistral AI and NVIDIA, delivering state-of-the-art reasoning, world knowledge, and coding accuracy in its size category. With a 128k token context window and multilingual training spanning English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese, Korean, Arabic, and Hindi, it serves global applications requiring semantic depth without massive parameter overhead. The model incorporates Tekken, a tokenizer roughly 30 percent more efficient at compressing source code and 2 to 3 times more efficient for languages like Korean and Arabic. Trained with quantization awareness, Mistral Nemo enables FP8 inference without performance loss while maintaining reasoning and coding quality.