Recently announced alongside the Mistral NeMo 12B model, Mistral AI unveiled their flagship model, the Mistral Large 2, a behemoth with a parameter size of 123B. This upgraded version expands the context window from 32K to 128K, now supporting languages such as Arabic, Hindi, Chinese, Japanese, and Korean, in addition to over 80 programming languages.
Scoring an impressive 84% on the MMLU test suite, Mistral Large 2 holds its own against giants like GPT-4o, Claude 3 Opus, and Llama 3 405B when it comes to programming and mathematical problem-solving tasks.
Designed for single-node inference, Mistral Large 2 boasts a parameter size of 123B. Its self-contained operation eliminates the need for additional hardware, making it a cost-effective choice based on parameter count, surpassing competitors like Meta Llama 3.1 405B in efficiency.
While not available for free commercial use, Mistral Large 2 can be utilized for research or non-commercial purposes without cost. This policy contrasts with competitors like Llama 3, providing an edge in certain contexts.
In conclusion, Mistral Large 2 presents a formidable entry into the AI landscape, offering advanced capabilities and versatility while setting a new standard for performance and efficiency.
TLDR: Mistral AI introduces the Mistral Large 2 model, boasting a massive 123B parameter size, expanded language support, and competitive performance in various testing scenarios.
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