The Big AI Companies Compared: Who Makes What in AI
AI companies compared in plain English: what Anthropic, OpenAI, Google DeepMind, Meta and Mistral AI make, and which models and coding tools they offer.
Mistral AI explained: the Paris-based company behind open-weight and commercial models and the Le Chat assistant, and how to use its models in AI agents.
Mistral AI is a Paris-based AI company that makes both open-weight and commercial language models, plus an AI assistant called Le Chat. It is a well-known European AI company, and its open-weight models are popular with people who want to run AI on their own hardware. You can use Mistral through Le Chat, through its API, or by downloading its open models and running them yourself.
This guide explains what Mistral makes, how its two kinds of models differ, and how to put them to work in AI agents.
Mistral AI builds large language models and offers them in two ways. Some are open-weight, meaning anyone can download the trained model and run it locally. Others are commercial models available through Mistral’s platform and API. On top of these, Le Chat gives everyday users a chat assistant, and businesses can build Mistral models into their own products.
Mistral’s mix of open and commercial models is what makes it distinctive.
Open-weight models are published so you can download the weights, the large set of numbers that make up a trained model. That lets you:
Mistral’s open models come with license terms, which can differ from model to model, so check them before using one in a commercial product.
Mistral also offers models through its own platform and API, where it runs the model and you pay for usage. These typically include its most capable options and models tuned for specific jobs, such as coding.
Offering both gives people a choice. Developers can prototype locally with an open model, then move to a hosted model when they need more capability, or the other way around when privacy or cost matters more. It also means Mistral contributes to the open ecosystem while still running a commercial business.
For you, the practical upside is flexibility. You are not locked into one way of using the models, and you can switch between local and hosted options as your project, budget or privacy needs change. For a deeper look at those trade-offs, read open vs closed AI models.
Le Chat is Mistral AI’s chat assistant, available on the web and on mobile. Like other assistants, it can answer questions, write and edit text, summarize documents, help with code and search the web for up-to-date information.
For many users, Le Chat is simply a capable alternative to the better-known assistants, with the added appeal of coming from a European company.
Mistral is often mentioned by people and organizations in Europe who prefer working with a European AI provider. Reasons people give include being closer to local regulations, language support and a wish for more choice beyond the largest companies.
Whether that matters depends on your situation. For an individual developer, model quality and fit usually matter most. For an organization with strict data rules, where a provider is based and how it handles data can be a real factor, so read the provider’s own data and privacy terms carefully.
Mistral’s open-weight models are a common choice for local AI. The simplest route is Ollama, a free tool that downloads and runs open models on your computer with a single command.
Tips for a good start:
Our step-by-step guide on how to run AI models locally with Ollama covers installation and first runs. For the wider landscape, see the open model ecosystem.
AI agents plan and carry out multi-step tasks, such as editing several files and running tests. Mistral models can power agents in two main ways:
A practical pattern is to give local Mistral models the routine steps, like writing comments, small fixes or summarizing changes, and send the hardest planning or review steps to a stronger model.
That kind of mix is easy to set up in BotQuarters, a team of AI coding agents on your Mac: some teammates can run local models through Ollama while others use Claude Code, Codex, Gemini or OpenCode, all with your own accounts.
Mistral sits between the fully closed and the open-weight camps. Anthropic keeps Claude closed. OpenAI’s main models are closed, with some open-weight releases. Google offers closed Gemini and open-weight Gemma. Meta focuses on open-weight Llama. Mistral offers both open-weight and commercial models as a core part of its approach.
For a full side-by-side table, see the big AI companies compared.
Mistral AI is a Paris-based AI company that makes open-weight and commercial language models. It also offers Le Chat, a chat assistant, and an API for developers who want to build Mistral models into their own products.
Partly. Mistral publishes open-weight models you can download and run yourself, under license terms that vary by model. It also offers commercial models that are only available through its platform and API.
Le Chat is Mistral AI’s AI assistant for the web and mobile. It can answer questions, write and summarize, help with code and search the web, much like other major assistants.
Yes. Many of Mistral’s open-weight models can run locally with tools such as Ollama. Smaller models work on a typical laptop, while larger ones need more memory and run faster on stronger hardware.
AI companies compared in plain English: what Anthropic, OpenAI, Google DeepMind, Meta and Mistral AI make, and which models and coding tools they offer.
Google Gemini explained: what Google DeepMind builds, how the Gemini models, app and Gemini CLI fit together, and where Gemma open models come in.
Meta Llama explained: what Meta's open-weight models are, how they differ from the Meta AI assistant, and how to run Llama yourself in AI agents.