mistral-nemo vs llama-3.1-405b-instruct

Mistral-Nemo is a 12B-parameter transformer-based large language model jointly developed by Mistral AI and NVIDIA. It is trained on a substantial multilingual and code dataset, achieving superior performance over models of similar or smaller sizes. Notable features include a large 128k token context window, advanced instruction tuning, and robust function calling capabilities.

The Meta Llama 3.1 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction tuned generative models in 8B, 70B and 405B sizes (text in/text out). The Llama 3.1 instruction tuned text only models (8B, 70B, 405B) are optimized for multilingual dialogue use cases and outperform many of the available open source and closed chat models on common industry benchmarks.