this post was submitted on 20 Apr 2026
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How Franceโ€™s Mistral Built A $14 Billion AI Empire By Not Being American (www.forbes.com)
submitted 2 days ago by randomname@scribe.disroot.org to c/buyeuropean@feddit.uk
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Paris-based Mistral wanted to develop a top-tier AI model to rival OpenAI and Anthropic. That didnโ€™t work out. But it turns out lots of folks donโ€™t care if the AI is bleeding edge โ€“ as long as it wasnโ€™t made in America or China.

Archived version

... [Cofounder and CEO of Mistral Arthur] Menschโ€™s vision for Mistral, and AI itself, can be summed up in one word: independence. Unlike its black-box Silicon Valley rivals, most of Mistralโ€™s AI models are what techies call โ€œopen weight.โ€ In this sort of open-source model, customers are free to get under the hood, customize the AI using their own data or download it for free to run offline (or from a laptop).

The message resonates. Old-school execs are spooked by the world-consuming rhetoric of OpenAI and Anthropic and the emerging threat of Chinese AI companies. Menschโ€™s talk of control and sovereignty is soothing, as is his pitch that Mistral will deploy engineers to set up and run the tech for them. Your data doesnโ€™t even need to leave the office, let alone the country.

โ€œWe are really the only company that allows [building] core business automation and products on top of an open stack, and that is something that is valuable everywhere in the world,โ€ says Mensch, 33, from Mistralโ€™s offices in the trendy 10th arrondissement of Paris, as kids play soccer in the courtyard out back.

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[โ€“] cecilkorik@lemmy.ca 11 points 2 days ago

While it may not compare to the closed, corporate "frontier" models that are running each query on racks upon racks of servers worth millions of dollars in a corporate data center, it's not clear to me that's a reasonable comparison. Mistral is actually one of my personal favorite models and it has nothing to do with being French (although that is a huge bonus, it doesn't really contribute to my method of scoring and ranking of different models). It's simply more reliable and consistent than a lot of the other open-weight models, it follows directions well and has good task comprehension. Even with abliteration (guardrail removal) it doesn't generally have weird artifacts and it uses diverse, clear and reasonable language in its responses. It also handles Markdown really nicely in a very consistent way without needing guidance. To me, these are more important properties than simply "containing the most recent training data" or how many agents it has. At the end of the day I'm going to judge a model based on its output more than how it gets there and it turns out you don't need all the latest whiz-bang features to get acceptable output depending on what exactly you're doing with it.

It may not be as technically impressive as even the latest greatest open-weight models like Qwen, but it's still a great model whether it's French or not, and I would still use it just as often as I already do even if it were Chinese or North Korean or Russian I don't care, all that matters is that it's open-weight, runs with reasonable hardware requirements, is flexible in how it can be used, and produces good output. Mistral ticks all the boxes.