Mistral AI
Open and portable generative AI for devs and businesses
- We’re committed to empower the AI community with open technology. Our open models sets the bar for efficiency, and are available for free, with fully permissive license. - Our optimized commercial models are designed for performance and are available via our flexible deployment options.
Reviews for Mistral AI
Hear what real users highlight about this tool.
Reviews praise Mistral AI for open, efficient models, strong performance per dollar, and flexible deployment. Makers of Sagehood AI highlight flexible infrastructure and dependable performance powering their solutions. Makers of Meilisearch emphasize fine-tunable, portable models and open-source excellence. Makers of VocAdapt note fast, affordable prototyping. Users echo lightweight efficiency, long contexts, and EU-friendly compliance. Common themes: easy APIs, fine-tuning options, solid reasoning and summarization, and affordability for startups. Some ask for clearer differentiation between open and commercial model performance.
This AI-generated snapshot distills top reviewer sentiments.
Powering my AI Newsletter Summarizer: Remy I'm using Mistral Medium and Mistral Small. Great to see an European Startup delivering great LLM models.
Mistral is deeply integrated in Basalt
Seguradoc uses Mistral AI OCR and API to both get the content of the some PDF files, plus to generate the file summary. I choose Mistral AI as it's based in EU.
Really good for story generation, don't sleep on Mistral!
We like Mistral for its lightweight, high-performance AI models (EU based). It gives us flexibility and speed that larger, slower alternatives don’t.
I am building on mistral instruct 0.3 for our fine-tuned models so far, since it outperformed other tested models in terms of reliability and speed for any task having detailed instructions. This is one of the main reasons our game master is less likely to take over the user's characters.
Mistral's small models really came in clutch when my need was to provide good responses on a efficient model with fast speeds. Kudos to their free plans for testing and really good models!
Really impressed by how lightweight and efficient this model is. Generates solid responses without needing massive resources, which makes it super practical for local or edge use.The performance is surprisingly strong for its size -fast, coherent, and great for tasks like summarizing, coding help, or general reasoning. Definitely one of the best open models available right now.
Mistral AI offers open, fast, and cost-efficient language models with strong reasoning and multilingual support. It’s ideal for developers who need powerful generative AI without vendor lock-in.
Mistral Nemo powers our translations, ensuring all content is available in over 25 languages.
From Magistral, AI that thinks through problems like I do has helped me to analyze market strategies across different divisions, companies, domains, sectors, and industries. Mistral code helped in running tech ventures, Le chat enterprise helped me to remain effective for consultations 24/7, and Mistral Large 2 helped in cross-company analysis with different reasoning methods.
We prefer Mistral AI because it is easy to customize, scale, and fine-tune. Its open and portable nature makes it particularly attractive for both developers and businesses, providing flexibility and adaptability to various use cases
Mistral AI’s state-of-the-art embedding models are the backbone of ChanceRAG’s advanced semantic understanding. By capturing deep contextual meaning from data, Mistral enables our hybrid retrieval system to deliver precise and relevant results, no matter how complex the query. Its open and modular design allowed us to seamlessly integrate these powerful embeddings into our solution, elevating ChanceRAG’s performance to new heights. We explored OpenAI embeddings and Cohere’s semantic models but chose Mistral for its open architecture, high-dimensional embeddings, and seamless integration capabilities, which aligned perfectly with ChanceRAG’s needs.