Using Mistral Medium on Mistral AI Studio
Implementation guide · Mistral Medium · MistralAI
Quick Start
- 1
- 2Use the Mistral AI Studio SDK or REST API to call
mistral-medium-1— see the documentation for request format. - 3
Code Examples
About Mistral AI Studio
Mistral AI's platform offers a comprehensive suite of generative AI capabilities, centered around its open-source language models. The platform features models like Mistral 7B and Mistral Large 2, which excel in various natural language processing tasks, including text generation, code creation, and summarization. These models boast impressive context lengths, with Mistral Large 2 capable of processing up to 128,000 tokens, enabling the handling of complex, lengthy inputs. The platform's multilingual proficiency, supporting languages such as English, French, and Spanish, enhances its versatility across different regions and use cases. A standout feature of the Mistral AI platform is its fine-tuning functionality, allowing users to tailor models to specific tasks or domains without the need for extensive computational resources. This process is streamlined through Mistral's server infrastructure, where users can easily upload datasets, create fine-tuning jobs, and monitor progress via an intuitive API. The platform also facilitates agent creation and provides a Software Development Kit (SDK), enabling seamless integration of Mistral's AI capabilities into existing applications. These features collectively make the platform a powerful and flexible tool for developers and businesses looking to leverage cutting-edge AI technologies in their projects.
Mistral AI is a French company developing advanced language models and AI technologies. Their platform focuses on creating fast, open-source, and secure language models that can be specialized for specific business use cases. Mistral AI's offerings include: 1. Large language models: Their flagship model, Mistral Large 2, excels in code generation, mathematics, reasoning, and multilingual support . 2. Specialized models: They offer models like Codestral for code generation tasks and MathΣtral for mathematical computations . 3. Fine-tuning capabilities: Mistral AI allows users to fine-tune their models on custom datasets and code using their platform . 4. Agent creation: Users can create custom AI agents by tweaking Mistral Large 2 with specific instructions . 5. SDK support: They provide SDKs for both Python and TypeScript to facilitate easier integration of their models into applications . 6. Cloud partnerships: Mistral AI models are available on major cloud platforms like Amazon Bedrock, Google Cloud's Vertex AI, and others, making them easily accessible to businesses . The company aims to make AI ubiquitous and accessible, targeting a global market while maintaining a strong focus on security and ethical AI development.
Pricing on Mistral AI Studio
| Type | Price (per 1M) |
|---|---|
| Input tokens | $1.50 |
| Output tokens | $7.50 |
Capabilities
About Mistral Medium
Mistral Medium is a versatile large language model developed by Mistral AI, designed to handle a wide array of tasks with a robust 32k token context window, allowing it to process approximately 24,000 words. Built on a transformer architecture, it offers native fluency in multiple languages, including English, French, Spanish, German, and Italian, enhancing its multilingual reasoning capabilities. Available via API, Mistral Medium is proprietary and stronger than some of Mistral AI's open-source models like Mixtral 8x7B and Mistral-7B. While it is described as more cost-effective than models such as GPT-4, specific pricing details are not provided 11011.