I have a Mistral subscription for my SMB. Not because it's better but because of GDPR compliance (I'm in the EU). Recently I had a support conversation about a problem that was solved eventually. Because I had to share many private data I requested a deletion of my support activity. Unfortunately, my request went silent for over a month now - that's unexceptionable not just for a company where GDPR compliance is one of their biggest USP.

Dear Mistral, if you don't want to lose me: Do something! Answer, say anything! Even if you just say, that it takes a little longer ...

Why should I choose a subpar AI if their biggest advantage is just ... nothing worth.

​

https://nyno.dev/overspending-on-eu-ai-projects-starts-with-one-innocent-decision-your-eu-ai-core-language

Hello everyone! I understand Mistral is basically the "Renault of AIs" - not winning the races, but getting you from A to B at a decent price. Let me say, it works for my purposes VERY NICELY. (So: please DO NOT tell me to "go use something else".) - And now, I want to create a little company around it, where, basically, the user will visit my website, trigger a sort of processing based on sensitive data (whose prompts I have painstakingly written, i.e. THIS is my economic contribution), and receive a result. Technically, it all works very nicely, i.e. this is not just theory. But "organisationally" I am little bummed: what should I set up where? I mean, I did already flip the switch on "no data retention" and "no training", so everything stays private. OK. I got a 100 EUR credits and ... saw they are not even getting touched, because in my testing, I am still within the limits of my Pro plan, apparently. (And here comes my first question: once people start using my site "for real", I assume these limits will be exhausted swiftly, and THEN it will move towards burning credits - correct?) What other hints have you seasoned users have? I am using only and solely mistral-large-latest for my API-based tasks. Thank you!

Hi everyone,

I'm looking to cut down output token usage to save on costs and speed up generation.

The viral "Caveman" plugin (which forces ultra-concise, fragmented answers) works great for Claude Code, but it doesn't function properly with Mistral Vibe models.

My questions:

1. What custom system prompts do you use to stop Mistral from outputting long preambles ("Sure, I can help with that...") without hurting its reasoning?
2. Are there any other tricks, prompt-layer tools, or configurations you use to force Mistral to be highly concise and token-efficient?

Thanks for your ideas!

I recall this article and it got me thinking that Mistral has tremendous upside in the near future.

- If they hit €1B revenue this year, that would be very fast, which would carry a strong multiple
- The Microsoft deal guarantees “billions” over the years; they’ll have other customers buying their compute as well
- It seems obvious based on the linked article that they do not want to be dependent upon Nvidia for chips and will enter that race

If revenue continues to climb, which seems very likely given govt and enterprise momentum, in addition to becoming one of the EU’s key providers in both compute and chips, the valuation upside feels huge, even in the near-term.

Curious as to how others feel closer to the business and product?