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Mistral AI
- Last updated: 30 Nov 2024
What is Mistral AI?
Mistral AI is an open and portable generative AI platform designed for developers and businesses. It offers a variety of models including Mistral Nemo and Mistral Large 2, providing options for customization and deployment without reliance on specific cloud providers. These models are designed to deliver efficiency, value, and speed.
The platform supports serverless APIs and public cloud services like Azure AI and Amazon Bedrock, allowing for diverse deployment strategies including on-premises VPC. Its models are noted for capabilities in reasoning across languages and can be fine-tuned to meet specific business needs, enhancing usability for various applications.
Offering both free non-commercial and commercial licenses, Mistral AI positions itself as a flexible solution for AI innovation by allowing businesses to create differentiated applications with cutting-edge technology and efficiency.
Mistral AI use cases
- If you’re a developer creating AI applications with open-source models.
- If you’re a business aiming to deploy portable AI across various cloud services.
- If your company needs customizable AI models for differentiated solutions.
- If you’re in technology looking for serverless AI solutions that ensure independence.
- If your enterprise deals with multilingual reasoning tasks that require robust AI models.
Mistral AI functionalities
- Open-weight models: Available for customization.
- Serverless APIs: Integration with public cloud services.
- High efficiency: Offers value and speed at competitive price points.
- Multi-language support: Handles multiple languages for complex tasks.
Pros and Cons
Pros
- Offers open-weight models for customization.
- Provides serverless APIs for diverse deployment.
- Includes efficient AI models with high-speed delivery.
- Ensures independence from specific cloud providers.
Cons
- May require technical expertise for model customization.
- Complex model management for non-technical users.
Mistral AI pricing
The pricing for Mistral AI’s service offerings varies depending on the model and use case. Below is a breakdown of the pricing structure for some key models and services, highlighting costs per million tokens for both input and output, along with additional charges for fine-tuning and storage.
| Feature | Mistral Large 24.11 | Pixtral Large | Mistral Small | Codestral | Ministral 8B |
|---|---|---|---|---|---|
| Input (/M tokens) | $2 | $2 | $0.2 | $0.2 | $0.1 |
| Output (/M tokens) | $6 | $6 | $0.6 | $0.6 | $0.1 |
| Monthly storage | $4 | – | $2 | $2 | – |
| Fine-tuning (One-off training /M tokens) | $9 | – | $3 | $3 | – |
It’s worth noting that models used with the Batch API are priced 50% lower than those listed above. The service offers several models and APIs under different licenses, including Apache 2.0 for free usage, as well as Mistral Commercial License for self-deployment in commercial environments.
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Mistral AI FAQ
What types of AI models does Mistral AI offer?
Mistral AI provides various models, including Mistral Large for high-complexity tasks, Pixtral Large for vision capabilities, Mistral Small for cost-efficient tasks, Codestral for coding, Ministral 8B for edge use cases, and Mistral Moderation for content moderation.
Can Mistral AI models be deployed on different platforms?
Yes, Mistral AI models can be deployed using serverless APIs, public cloud services, and for VPC or on-premise deployment. They are accessible on platforms like Azure AI, Amazon Bedrock, and more.
What licensing options are available for Mistral AI models?
Mistral AI offers models under the Apache 2.0 license and a dual licensing option with the Mistral Research License for non-commercial use and the Mistral Commercial License for commercial use.
Does Mistral AI offer fine-tuning capabilities?
Yes, Mistral AI provides tools to fine-tune their models using the open-source fine-tuning code or through the Mistral Fine-tuning API accessible on La Plateforme.
How can businesses benefit from Mistral AI’s offerings?
Businesses can transform operations and products by using Mistral AI models for tasks like text generation and processing, customer support enhancements, and personalized marketing, among others.
What support does Mistral AI provide for developers?
Mistral AI offers a developer platform, guides, community forums, and documentation, making it easy for developers to build applications and services using their models.
How does Mistral AI ensure security and privacy?
Mistral AI encrypts data at rest and in transit, supports moderation features, and offers privacy-friendly deployment options where Mistral AI doesn’t access user data.
Are Mistral AI's models suitable for multilingual applications?
Yes, many of Mistral AI’s models, like Mistral Large and Mistral NeMo, have multilingual capabilities, including support for European languages, Chinese, Japanese, and more.
How does Mistral AI's pricing structure work?
Mistral AI uses a pay-as-you-go pricing model, with fees based on the number of input and output tokens. Pricing differs for each model with options available for batch API usage.
How does Mistral AI contribute to building a reliable AI ecosystem?
Mistral AI leads the open-source frontier for AI technology, ensuring transparency, portability, and enhanced security to foster a reliable AI ecosystem for developers and businesses.
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About the author
M. Kooiker
As an experienced online marketeer with a longstanding interest in AI, I've immersed myself in the latest AI advancements in recent years. Passionate about innovation, I actively test AI tools and dedicate myself to guiding users in selecting the right technology. My mission is to connect people with cutting-edge AI solutions.