France's Mistral Built a $14B AI Empire by Not Being American

These are just signs of this market maturing. For a lot of business customers, EU based hosting is not hosting. That includes models. Routing requests via API endpoints in the US is not really acceptable. And anything involving privacy sensitive data of course needs to be handled properly. Sam Altman pinky swearing to be nice doesn't quite cut it in terms of hard guarantees.

EU based legal entities and strong compliance with local laws with some hard SLAs and contractual guarantees is not going to be optional for liability reasons. Provenance of models, their training data, and exact ways they have been instructed to act are also not just nice to haves.

I expect non EU jurisdictions are eventually going to be similarly picky about their AI suppliers and I expect all the big tech providers to adapt to local markets just like they did with cloud infrastructure.

I don't have much experience with Mistral yet. But I may need to get my hands dirty to be able to sell this to some of our customers. We have a few more picky customers in Germany.

In my opinion, being "Not American" or "Not Chinese" is not a good business model long-term.

At some point, businesses will choose the option that provides the most value. I'm very skeptical that Mistral will survive long-term.

Edit: I hear the commenters to this post. However, Mistral still relies on American chips. If there is truly a divorce between Europe and the US such that relying OpenAI or Anthropic is not an option, neither will relying on Nvidia and likely the thousands of smaller hardware and software suppliers that make Mistral work. That's why I don't think it's realistic to say that Europeans can't rely on OpenAI/Anthropic and that Mistral is free from American reliance. If you want true independence, you have to rebuild every single layer like what China is doing. That's hard and expensive.

I am a Mistral Le Chat Pro subscriber. I specifically chose to test their offerings because they are European. I don't have the necessary local hardware to run really big models, therefore need to choose a cloud provider if I want LLM action.

I find the antics of Anthropic, OpenAI, Google, Microsoft distasteful and avoid their products where I can.

After testing Le Chat and Devstral-2 for a while, I felt their offering was good enough to stump up some cash for it. I appreciate that many of their models are open weights and Apache 2.0 licensed. In general, I've been happy enough with the service and quality.

Maybe others are better, but I have little reason to change right now. If curiosity gets the better of me, I'll be looking at Qwen, Kimi, GLM, Deepseek, other open weights models, before Anthropic and OpenAI.

Mistral has a very difficult scenario to navigate. Training models in Europe is difficult and expensive because of regulations and energy prices. Their own open models are lagging behind the Chinese ones. That means eventually they will turn into an inference-only enterprise running mostly Chinese open models, at which point any other European player could compete (Hetzner, OVHCloud, etc.)

IMO this is pretty rational. Mistral is 'smart enough' for lots of applications, very fast, and embedded in a regulatory environment that people find more trustworthy.

It's not exactly hard to see why people might feel that relying on an American or Chinese provider is a major liability.

I think it’s important to note that, at least for now, Mistral uses the big American cloud providers for inference [0].

[0] https://trust.mistral.ai/subprocessors

LLMs are rapidly becoming the first 'purely digital commodity'.

Being digital it's somewhat hard to apply any kind of trade protectionism or Chicken Tax onto them. Maybe there's a market for cruelty-free vegan non-GMO (low-water-use sustainable energy) LLM tokens as well as European ones?

I really like what Mistral did for open Models - but what is the plan to compete against the likes of Moonshot, DeepSeek in the global market? When you can get Kimi K2.6 served via cloudflare it raises tough questions on the economics of it all.

What exactly is Mistral's strategy is aside from niche regulatory requirements or a Eurocentric hedge for AI sovereignty? Do they even have ambitions to compete on the global stage?