Mistral Unveils Large 2

• Introduction
• Mistral Large 2 Capabilities
• Performance-to-Cost Ratio Analysis
• Multilingual and Coding Performance
• Availability and Licensing
• Competitor Comparison and Development Focus

 

Mistral Unveils Large 2

 Mistral AI has unveiled its latest large language model, Mistral Large 2, boasting significant advancements in multilingual capabilities, reasoning, and coding. With 123 billion parameters and a 128,000 token context window, the model aims to compete with industry leaders like OpenAI's GPT-4 and Meta's Llama 3.1, particularly excelling in code generation and mathematical tasks. 

Mistral Large 2 Capabilities

maginative.com

Boasting a 128,000 token context window, this advanced model demonstrates significant improvements in reasoning, knowledge, and coding capabilities. It excels in code generation tasks, outperforming Llama 3.1 405B and scoring just below GPT-4 on benchmarks like HumanEval and MultiPL-E. The model's mathematical prowess is evident in its performance on the MATH benchmark, where it ranks second only to GPT-4 in zero-shot, without chain-of-thought reasoning

Performance-to-Cost Ratio Analysis

Mistral Large 2 sets a new standard in the performance-to-cost ratio for open models, achieving an 84.0% accuracy on the MMLU benchmark while being more cost-effective than many competitors. With a price of $4.50 per 1M tokens (blended 3:1 ratio), it offers a competitive balance between performance and cost. The model's output speed of 43.5 tokens per second and low latency of 0.29 seconds to first token further contribute to its efficiency Despite having fewer parameters (123B) compared to models like Llama 3 405B, Mistral Large 2 manages to deliver comparable or superior performance in various tasks, particularly in code generation and mathematics, demonstrating its optimization for cost-effective deployment and operation

Multilingual and Coding Performance

venturebeat.com

Supporting dozens of languages, including English, French, German, Spanish, Italian, Chinese, Japanese, Korean, Portuguese, Dutch, Polish, Arabic, and Hindi, the model demonstrates impressive multilingual capabilities. On the Multilingual MMLU benchmark, it surpasses Llama 3.1 70B base by an average of 6.3% across nine languages in coding tasks, the model showcases proficiency in over 80 programming languages, including Python, Java, C, C++, JavaScript, Bash, Swift, and Fortran. This comprehensive language support empowers developers to tackle a wide range of coding tasks and projects across various domains and platforms

Availability and Licensing

Available on Mistral AI's platform, la Platformer, and through cloud providers like Amazon Bedrock, Microsoft Azure, and Google Cloud's Vertex AI, Mistral Large 2 offers flexible deployment options. The model is released under the Mistral Research License for research and non-commercial purposes, with a separate Commercial License required for business applications. Weights for the instruct model have been made available on Hugging Face, further expanding access for researchers and developers interested in exploring its capabilities

Competitor Comparison and Development Focus

mistral.ai

Setting a new frontier in performance-to-cost ratio on evaluation metrics, the model positions itself as a strong competitor to leading AI systems from OpenAI, Google, and Meta. Mistral AI emphasized minimizing hallucinations during development, training the model to acknowledge when it lacks sufficient information. This focus on enhancing reasoning capabilities and instruction-following behavior has resulted in a more discerning and accurate AI system, capable of admitting uncertainty rather than generating plausible but incorrect responses

Mistral Large 2 demonstrates impressive multilingual capabilities, outperforming other leading models:

• On the Multilingual MMLU benchmark, Mistral Large 2 surpasses Llama 3.1 70B base by an average of 6.3% across nine languages, including English, French, German, Spanish, Italian, Chinese, Japanese, Korean, and Portuguese
• The model supports dozens of languages and excels in languages such as English, French, German, Spanish, Italian, Portuguese, Dutch, Russian, Chinese, Japanese, Korean, Arabic, and Hindi
• Mistral Large 2 is natively fluent in English, French, Spanish, German, and Italian, with a nuanced understanding of grammar and cultural context.
• It strongly outperforms Llama 2 70B on HellaSwag, Arc Challenge and MMLU benchmarks in French, German, Spanish and Italian

So in summary, Mistral Large 2 sets a new standard for multilingual performance, surpassing models like Llama 3.1 and Llama 2 across a wide range of languages. Its native fluency in several European languages and strong results on multilingual benchmarks demonstrate its capabilities in handling tasks in multiple languages

The key differences between Mistral Large 2 and Llama 3.1 are primarily in their performance, cost, and capabilities:

1. Performance:
   • Mistral Large 2: Achieves 84.0% accuracy on the MMLU benchmark, which is higher than Llama 3.1 8B Instructs 66.7% accuracy It also outperforms Llama 3.1 405B in code generation and mathematics, despite having fewer parameters
2. Cost:
   • Mistral Large 2: Offers a more cost-effective solution, with a price of $4.50 per 1M tokens, compared to Llama 3.1 8B Instruct, which does not provide pricing information
3. Context Window:
   • Both models have a 128,000 token context window, which allows them to handle large input contexts efficiently
4. Multilingual Support:
   • Mistral Large 2: Supports a broader range of languages, including French, German, Spanish, Italian, Portuguese, Arabic, Hindi, Russian, Chinese, Japanese, and Korean
5. Code Generation:
   • Mistral Large 2: Demonstrates superior code generation capabilities across multiple programming languages, including Python, Java, C, C++, JavaScript, and Bash
6. Reasoning and Hallucination:
   • Mistral Large 2: Has been optimized to minimize hallucinations and provide more accurate responses, acknowledging when it lacks sufficient information
7. Function Calling:
   • Mistral Large 2: Can execute both parallel and sequential function calls, enhancing its utility in complex business applications

Overall, Mistral Large 2 offers a compelling combination of high performance, cost-effectiveness, and advanced capabilities, making it a strong competitor in the LLM market.

Mistral Large 2's multilingual support significantly benefits its users by providing robust capabilities across a wide range of languages, enhancing its utility in diverse applications and industries. Key benefits include:

1. Language Diversity:
   • Support for Multiple Languages: The model supports dozens of languages, including French, German, Spanish, Italian, Portuguese, Arabic, Hindi, Russian, Chinese, Japanese, and Korean
   • Native Multilingual Proficiency: It demonstrates a nuanced understanding of grammar and cultural context across multiple languages, enabling precise text generation and multilingual reasoning tasks
2. Performance on Multilingual Benchmarks:
   • Improved Performance: Mistral Large 2 outperforms its predecessors and other leading models on the multilingual MMLU benchmark, indicating strong multilingual capabilities
   • Enhanced Multilingual Understanding: The model's performance is measured on benchmarks like HellaSwag, Arc Challenge, and MMLU across various languages, showcasing its competitive edge in multilingual tasks
3. Applications and Use Cases:
   • Business Applications: The model's multilingual support makes it suitable for complex business applications that require handling diverse languages and cultural contexts, such as customer support, marketing, and international business operations
   • Research and Development: It is particularly beneficial for researchers and developers working on multilingual projects, as it can handle a wide range of languages and perform well on multilingual benchmarks
4. Functionality and Function Calling:
   • Enhanced Function Calling: The model is equipped with advanced function calling and retrieval skills, enabling it to execute both parallel and sequential function calls, which is crucial for complex business applications

Overall, Mistral Large 2's multilingual support enhances its versatility, making it a powerful tool for a wide range of applications that require handling multiple languages efficiently and accurately.