While the AI world remains fixated on how China’s DeepSeek is turning the American AI industry on its ear, Europe’s Mistral AI company has quietly produced a capable and open-source alternative to the likes of ChatGPT and Gemini. Here’s everything you need to know about it.
What is Le Chat?
Mistral’s Le Chat application is a chatbot akin to ChatGPT or Gemini. It enables users to generate text and images, as well as computer code. It also can deploy agentic AI assistants to streamline existing workflows. “Whether you’re analyzing data, writing code, or creating content, access cross-domain expertise through intuitive interfaces designed for both technical and non-technical users,” Mistral’s landing page reads. Per the company, Le Chat can reason, reflect, and respond ten times faster than other chat assistants such as OpenAI’s GPT-4o, Anthropic Claude’s Sonnet 3.5, and DeepSeek R1 — generating up to 1,000 words per minute.
When was Le Chat released?
The chatbot was introduced on X as “your ultimate AI sidekick for life and work” on February 6th, when it went live on the web and mobile.
What can Le Chat do?
Like its competitors, Mistral’s Le Chat can perform a variety of generative functions, from uploading and analyzing documents, to planning and tracking projects, to generating text and images. It can access the internet as well, enabling the system to return up-to-date facts and figures to a variety of user queries.
How to sign up for Le Chat
It’s easy to get started using Le Chat. First, you’ll need to navigate to the Le Chat website. Then, simply click on the “sign up” radio button and enter your personal information. You’ll need to confirm your details via email before you officially log in and begin using the chatbot.
Uploading files is equally straightforward. Just click on the paperclip icon in the text prompt window, then select the file you want to load from your local drive. The system will readily provide analysis of the data you upload, including speaking to key trends within the data, statistical summaries and visual representations such as graphs, charts, and tables to more clearly lay out what is happening in your dataset.
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