Mistral Large 2 is a top-tier language model designed for high-complexity tasks that require advanced reasoning capabilities.
Scorecard
| ⛔️ Availability | No, Try Mistral Nemo Instruct until its available |
| 🐙 Model Type | Large Language Model (LLM) |
| 🗓️ Release Date | July 2024 |
| 📅 Training Data Cut-off Date | N/A |
| 📏 Parameters (Size) | N/A |
| 🔢 Context Window | 128k tokens |
| 🌎 Supported Languages | Multiple |
| 📈 MMLU Score | 84.0% |
| 🗝️ API Availability | Yes |
| 💰 Pricing (per 1M Token) | Input: $3, Output: $9 per 1M tokens |
With its extensive parameter count and cutting-edge architecture, Mistral Large 2 is ideal for applications demanding sophisticated language understanding, text generation, and code-related tasks.
Architecture 🏗️
Mistral Large 2 is built with a highly advanced architecture that leverages a massive number of parameters to deliver superior performance.
This model is optimized for complex reasoning tasks and can handle large-scale language processing needs with ease.
The model architecture ensures high accuracy and efficiency, making it suitable for demanding applications.
Performance 🏎️
Mistral Large 2 excels in performance benchmarks, outpacing many of its competitors.
It achieves an impressive 84.0% on the Massive Multitask Language Understanding (MMLU) benchmark, making it one of the leading models in terms of reasoning and language understanding.
Its advanced capabilities make it a go-to choice for tasks requiring deep comprehension and nuanced language processing.
Pricing 💵
Mistral Large 2 is priced to reflect its high performance and advanced capabilities, offering a competitive rate for its class.
Token Pricing
- Input Tokens: $3.00 per million tokens
- Output Tokens: $9.00 per million tokens
Example Cost Calculation
For a project requiring 10 million input tokens and 5 million output tokens, the cost calculation would be as follows:
- Input Cost: 10 million tokens x $3.00 = $30.00
- Output Cost: 5 million tokens x $9.00 = $45.00
- Total Cost: $30.00 + $45.00 = $75.00
Use Cases 🗂️
Mistral Large 2 is versatile and can be applied to a variety of use cases, including:
- Complex Text Generation: Creating detailed and contextually accurate text for advanced applications.
- Multilingual Reasoning: Handling multiple languages with high precision and understanding.
- Code Generation: Assisting in sophisticated coding tasks, including code synthesis and debugging.
Customization
Mistral Large 2 can be fine-tuned to meet specific requirements, allowing developers to tailor the model's performance for specialized tasks. This customization ensures the model can deliver optimal results across a broad range of applications.
Comparison 📊
Compared to other models like GPT-3.5 and Llama 2, Mistral Large 2 offers superior performance in reasoning and language understanding. Its advanced architecture and extensive parameter count give it an edge in handling complex tasks with higher accuracy and efficiency.
Conclusion
Mistral Large 2 is a powerful language model designed for high-complexity tasks requiring advanced reasoning and language processing capabilities.
Its competitive pricing and superior performance make it an excellent choice for businesses and developers looking to leverage state-of-the-art AI technology.
