Mistral Large 2 Beats Llama 3.1 405B

Exploring Mistral Large 2

Meet the Mistral Large 2, the AI model that's setting new standards. Known for its exceptional performance and versatility, it vastly outperforms the previous model and competes with leading AI models like Llama 3.1 405B, Claude 3 Opus and GPT-4o.

Advanced Features Overview

The Mistral Large 2 is a transformer-based Large Language Model (LLM) with an impressive 128K context window. This expansive context window significantly enhances the model's ability to process extensive and complex datasets, allowing it to understand and generate relevant responses across varied contexts.

One of the greatest tricks is 123 billion parameters model size, that enables the model to run at large throughput on a single node. It is designed specifically for single-node inference with long-context applications in mind, making it an efficient choice for high-demand AI tasks.

Additionally, Mistral Large 2 supports over 80 coding languages, including Python, Java, C, C++, JavaScript, and Bash. Whether you're a developer in New York or New Delhi, this model's got your back.

Multilingual Capabilities

Mistral Large 2's multilingual proficiency is showcased through its performance on multilingual benchmarks like MMLU. The model excels in dozens of languages, including English, French, German, Spanish, Italian, Portuguese, Russian, Chinese, Japanese, Korean, Arabic, and Hindi, making it a versatile tool for global applications.

What actually attracts the attention is the model's proficiency in multiple languages not limited to text generation. Mistral Large 2 also performs exceptionally well in coding languages. This dual capability in natural and programming languages makes Mistral Large 2 a powerful resource in our increasingly interconnected world.

Performance of Mistral Large 2

Accuracy and Efficiency

The Mistral Large 2 sets a new benchmark for performance and cost efficiency in the realm of AI models. Achieving an impressive accuracy of 84.0% on the MMLU (Massive Multi-Task Language Understanding) benchmark, it stands out for its ability to provide reliable and precise outputs.

Mistral Large 2's efficiency is also noteworthy. The pretrained version sets a new standard in terms of performance/cost on evaluation metrics, making it a cost-effective solution for various applications. Its training on a large proportion of code enhances its reasoning capabilities, enabling it to outperform many of its predecessors and contemporaries.

Comparison with Leading Models

In comparison to other leading models, Mistral Large 2 holds its ground firmly. It performs on par with renowned models like GPT-4o, Claude 3 Opus, and Llama 3.1 405B. The model's support for over 80 coding languages and its 76.9% average performance accuracy across multiple programming languages further underscores its versatility and robustness.

When it comes to math, the Mistral Large 2 scores a solid 71.5% on the MATH problem-solving benchmark. This beats out several other models, including GPT-4, Gemini 1.5 Pro, Gemini 1.0 Ultra and Claude 3 Opus, according to IBM.

By setting new benchmarks in accuracy and cost-efficiency, the Mistral Large 2 is proving to be one of the best options among current AI models.

‍

Try Mixtral 8x22B Instruct and Mistral 7B Vo.3 with our API Key. Сontact us via Discord so we add Mistral Large 2.