Mistral made a splash in the AI world with the launch of their flagship model, Large 2, boasting impressive capabilities in code generation, mathematics, and reasoning comparable to industry giants like OpenAI and Meta.
Hot on the heels of Meta’s Llama 3.1 405b release, Mistral’s Large 2 sets new standards in performance and cost efficiency for open models, backed by solid benchmark results.
Large 2’s superior performance in code generation and math, with just 123 billion parameters, outshines Llama 3.1 405B. Mistral emphasizes their focus on minimizing model hallucination issues during training, ensuring more accurate and discerning responses.
With a recent $640 million Series B funding round led by General Catalyst, Mistral, despite being a newer player in the AI field, continues to push the boundaries with cutting-edge AI models.
While Mistral’s models require a paid license for commercial use, their technologies are making waves in the industry. Large 2 offers improved multilingual support and a 128,000 token window for processing large amounts of data in a single prompt.
Notably missing from Mistral Large 2 and Meta’s Llama 3.1 is multimodal capabilities, an area where OpenAI excels. Nevertheless, Mistral is making strides with their new model available on major AI platforms and their own platforms for testing.
