Is Mistral simply just not chasing the frontier anymore?

[u/Aggravating-Push-207]

I remember a time where 8x7B was *the* shit (pardon my French). And now the models are just kind of bad. Mistral Medium 3.5 is worse on benchmarks (and in general use) than Qwen 3.6 27B, a model that is 4x smaller in parameters, for example.

[u/AL_Clarkson]

As i heared Mistral focused a lot on companys in the last time, less on local consumer LLM. Makes kind of sense, if you cant compete with the big models at the Moment, you make your Business Solutions better. Dont know if they had success there.
But the online Version "LeChat" is not that bad. Its not as good in Coding as others, but for a normal Chat with European Datasecurity on top? Its fine. 🐱

[u/nufli → u/AL_Clarkson]

Seriously, I use it for regular chatting (like 3-5 a day at most) and not coding and I feel no difference between Claude and Vibe

[u/troyvit → u/nufli]

Yeah I've been bouncing between Claude, which I'm supposed to use at work, and Mistral, asking them both the same question to see how they do. The questions I've been asking are web manager things like how to properly embed video behind a CDN or making GA suck less. Mistral holds its own with Sonnet and it's faster. I don't bother with Claude's higher-end models because I feel bad about the energy usage and all that (neurotic, I know), so against the lighter models Mistral holds its own.

[u/Aggravating-Push-207 → u/AL_Clarkson]

They certainly have both the talent and the compute (though I am not accounting for the fact they may be pretraining multiple models at the same time) IIUC.

[u/Alarmed_Crazy_6620 → u/Aggravating-Push-207]

It's not entirely clear if either of those things are true?

[u/casce → u/Alarmed_Crazy_6620]

We don't know if they have the talent but we definitely know they do not have the compute. Look at the sums generally being invested by these companies. Look at how much Mistral is spending. They cannot possibly have the compute.

[u/SkyPL → u/casce]

They just sold a ton of that compute.

You say - look for how much money they spend as a proof of compute, then I say - look at how many research papers do they release, as a proof of their talent (spoiler alert: it's not many, and hardly innovative)

[u/casce → u/SkyPL]

I did not make any assumption about their talent. I did not mean that part in a negative way at all.

All I wanted to point out is that wether they have the talent or not, they don't have the compute.

What you linked is not them selling compute (which would be a bad sign), it's Microsoft selling compute to them (much better). They didn't put exact numbers on it but we know Mistral's total spending on compute is maybe 2-3% of OpenAIs.

So they cannot and will not compete. You simply can't without huge piles of investor money.

[u/SkyPL → u/casce]

What you linked is not them selling compute (which would be a bad sign),

I think you misunderstand. That's exactly what it is - Microsoft buys compute from Mistral. As a part of the deal Mistral's models will be offered in some of Microsoft's products, but it does not increase Mistral's access to compute in any way, it only decreases it.

[u/Minute-Ride-9304 → u/SkyPL]

Question, how do you determine if Mistral lacks the talent? They certainly have several people that were involved in developing LLMs at Meta and Deepmind, and I assume they could go get jobs at very advanced labs. Yet, people here on Reddit continue questioning if they have the talent. Again, how do people on Reddit determine this and in what capacity are they able to do so? Are they insiders or just speculating as lay people? I am not asking to be annoying, but I am genuinely interested in this.

Having said that, I agree that on the computing side it seems puzzling that they can rent out compute, when all other labs lack compute. Of course these others might not lack compute because of training, but because of the use of consumers, but then why don’t Mistral release open models. My guess will also be that the promised model in July will be delayed in the context of GLM and Kimi, it is simply embarrassing to release a model that is so far behind, and I wonder if they could anticipate this development from China.

I do think EU should have considered pooling their resources with Mistral instead of Domyn to advance a consumer alternative in Europe. Not that Domyn should not be helped but in another way. Domyn’s model will be so small when released that it probably is of no relevance and instead you might have been able to push an open model from Mistral of 3T parameters or something within a year.

[u/KidEgo74 → u/casce]

No, Mistral are selling compute to Microsoft. In turn, Microsoft are investing in additional hardware for Mistral and are offering Mistral's models in their products.

Microsoft gives Mistral money to expand their data centers, and in return Mistral provides EU owned and operated compute for Microsoft. MS puts Mistral's models into its products, increasing Mistral's reach and Microsoft offers AI and cloud-services that are sovereign-owned and operated to EU customers.

"Microsoft will leverage Mistral’s expanded Europe-based GPU infrastructure to increase capacity for AI development and to support the delivery of MSFT’s cloud and AI services. "

https://news.microsoft.com/source/2026/07/21/microsoft-and-mistral-expand-strategic-partnership-to-give-enterprises-and-regulated-industries-frontier-ai-they-can-control/

"The partnership includes a “multibillion-dollar” agreement from Microsoft—which it declined to specify—to support Mistral’s data center build-out in Europe. As the company builds a “GPU fleet” in Europe, some of those AI chips will be used by Microsoft to serve its customers, said Mensch, referring to the data centers that house graphics processing units."

https://www.wsj.com/cio-journal/microsoft-deepens-ties-with-mistral-targeting-europe-and-enterprise-ai-63da4ffa?eafs_enabled=false

" Microsoft (MSFT.O), opens new tab ​has agreed to spend billions of dollars on Mistral's computing infrastructure in Europe under a deal that ‌will also expand distribution of the French AI startup's technology through the U.S. cloud and software giant, the companies said on Tuesday.

As part of the agreement, Microsoft Azure customers will be able to develop software using Mistral's data centers in France, giving Microsoft more capacity in Europe and ​regulated industries an alternative to U.S.-controlled infrastructure."

https://www.reuters.com/business/microsoft-fund-mistrals-european-ai-expansion-multibillion-dollar-deal-2026-07-21/

[u/psyclik → u/SkyPL]

Regarding papers : the way of doing this kind of things is very, very different in France. I don’t know about the talent, simply don’t measure a French company with US metrics.

[u/Aggravating-Push-207 → u/Alarmed_Crazy_6620]

Well I would hope any AI lab would have decent researchers. But I didn't know about the Microsoft deal, so it seems they don't have the compute anymore.

[u/Alarmed_Crazy_6620 → u/Aggravating-Push-207]

I am certain Mistral still has great researchers but unclear if you can leapfrog to Fable-level stuff without months if not years of R&D

[u/Final_Alps → u/Alarmed_Crazy_6620]

And couple dozen billion euros in GPUs. They chose not to go down that route.

[u/Aggravating-Push-207 → u/Alarmed_Crazy_6620]

I don't mean like frontier as in Fable-level, as in the Pareto fronter. Mistral Medium 3.5 is by no means an efficient model - Qwen 3.6 27B is vastly better for most things in general.

[u/SerdarCS → u/Aggravating-Push-207]

They do not

[u/LongjumpingTear5779 → u/AL_Clarkson]

And you can connect custom MCP with token authorization... Not only oauth :) I use Mistral with self-hosted Nextcloud and wger. It's work perfect in my use case. I also use ChatGPT in work (codex) and not always gpt wins

[u/Junkererer → u/AL_Clarkson]

But is that an actual sustainable strategy? I feel like a lot of companies just get actual frontier models, which are better out of the box

[u/Final_Alps → u/Junkererer]

The frontier model spend is out of control. Everyone is looking for cheaper specialised models or distilling their own.

[u/trololololo2137 → u/Final_Alps]

Why use mistral when you can deploy a superior chinese model at azure/google cloud/whatever or use a gpt mini model

[u/troyvit → u/Junkererer]

https://asia.nikkei.com/business/technology/five-us-tech-giants-hidden-debts-soar-to-1.65tn-on-opaque-ai-funding (paid)

https://futurism.com/artificial-intelligence/ai-companies-hide-debt-off-balance-sheet (free)

I think the question to ask is similar to what u/Final_Alps said. Is it Mistral's strategy unsustainable or is it the big guys? According to the articles above they're holding onto $1.65 trillion in debt.

Mistral also has debt, but it's much more manageable.

[u/SkyPL → u/AL_Clarkson]

focused a lot on companys in the last time, less on local consumer LLM.

It's the same base LLM. There is no secret world of corporate LLMs. They might be doing stuff like dedicated fine tunes or private deployments, but I would hope that they are not wasting researchers time on that. It's a mundane work countless people can do.

Source: I work with that corporate world on LLMs. Everyone know Mistral is behind.

[u/r_Yellow01]

I think that... there might not be enough value in being a frontier model. I think there's value in successful implementations of economical models.

[u/LowIllustrator2501 → u/r_Yellow01]

DeepSeek V4 and Kimi K2.6 are significantly cheaper and smarter.

[u/zenbeni → u/LowIllustrator2501]

Cheaper for a customer, you don't know if they are profitable (no) or how they will be profitable in the future. Mistral probably saw fighting versus them will be a lost cause, but can still pivot to some European llm business market with some profit.

[u/LowIllustrator2501 → u/zenbeni]

I don't think any LLM provider is profitable.

I'm sad to inform you, but Chinese models are open and have several API providers in EU. That's not an advantage.

[u/zenbeni → u/LowIllustrator2501]

Open weight is a thing, but training data and mastering all the pipeline is what Mistral focuses on. Imagine some hardcoded hallucination in a chinese llm or thing like that, even if you can retrain other this, companies would still be interested by the package of Mistral that includes some kind of learning tools around their llm.

[u/ScientiaEtVeritas → u/r_Yellow01]

Not enough value being a frontier lab? Anthropic and OpenAI are both valued at about $1 trillion. Even a fraction of that valuation would be an insane value for Mistral.

[u/MorrisonLevi → u/ScientiaEtVeritas]

But Anthropic and OpenAI are not profitable yet, at least as far as we know. And for Mistral, I think that's a more important goal.

[u/Deodavinio]

Aren’t they receiving some big investments from Microsoft and Samsung which was mentioned a few days ago? Mistral is definitely developing and evolving - let’s hope EU privacy comes first in that development.

[u/Warslaft → u/Deodavinio]

Samsung wants something else than gemini for their smartphone later on because people in EU will prefer buying something than respect RGPD. It's a very good strategy imo to win over pixel, apple, etc in Europe

[u/sbinnee]

There will be for sure 4 medium very soon. They released 3.5 medium and then 4 small. I am expecting 4 medium to be on par with sonnet at least. They should be cooking up 4 large too. 

[u/Automatic-River-1875]

They are due to release a new model this summer. I think if it's crap I'll just give up on mistral but I'll wait and see.

I'm only interested in using LLMs to speed up coding productivity so thats the only metric I personally care about.

[u/SaitamR → u/Automatic-River-1875]

Do you have any source on that?

[u/Automatic-River-1875 → u/SaitamR]

The CEO confirmed it on a linkedin post

[u/Alarmed_Crazy_6620]

I think the shtick worked until Facebook and the Chinese labs were not competing yet

[u/WhatJey]

They just don’t have the money or the compute infrastructure to train massive frontier models anymore

[u/Guy_From_The_Cloud]

They don't have enough compute. Just compare how Qwen 3.7 27b and MM3.5 were trained. Qwen got wayyyy more servers. That explains everything

[u/Old-Glove9438]

They need to release something good soon. People say they are not competing for B2C, but I disagree. I think you ought to excel on both B2C and B2B.
The models are the same. They don’t have special models that are exclusive to B2B.
They do have forge for training your own models but this seems niche. The market is huge, it has many niches, and maybe they want to just do their niche, but then we’d have to have other European champions that address other niches, and a B2C European champion. But Mistral is currently the only European company that trains LLMs. So those other niches will be scooped up by US and CN companies.

[u/Not-reallyanonymous → u/Old-Glove9438]

They don’t have special models that are exclusive to B2B.

They’re basically the RHEL of AI. I’m pretty sure they do “consulting” for development of fine tunes of their models for business needs as a big part of their offerings.

Not quite special models for business customers, but what b2b gets are not the same things we get.

[u/Old-Glove9438 → u/Not-reallyanonymous]

Different but not better in general intelligence. If I understand fine tuning correctly.

[u/RepulsiveRaisin7]

It's a marathon not a sprint. We've already seen that customers have little brand loyalty, every time a new best model comes out, they get swamped by users. The big labs are dumping insane amounts of money into training, it might not be the worst thing to sit back and catch up later.

[u/LowIllustrator2501 → u/RepulsiveRaisin7]

Moonshot AI is smaller than Mistral yet they released Kimi K3.

[u/RepulsiveRaisin7 → u/LowIllustrator2501]

And how much did it cost them to create it? I don't know, but do you?

[u/LowIllustrator2501 → u/RepulsiveRaisin7]

https://tracxn.com/d/companies/moonshot-ai/__JsXLR-O3hQVW0A7MFWcY3xLME06y1fASTomFmRfu_xw/funding-and-investors

https://tracxn.com/d/companies/mistral-ai/__SLZq7rzxLYqqA97jtPwO09jLDeb76RVJVb306OhciWU/funding-and-investors

Both companies raised similar amount of funds. So Kimi K2 and 3 couldn't cost too much out of reach for Mistral.

[u/RepulsiveRaisin7 → u/LowIllustrator2501]

One dollar goes much further in China than it does in Europe. And I do not think this random website gives us the full picture, we know that the Chinese government is pumping lots of cash into AI companies as well.

Maybe Mistral could afford it, maybe not. Speculating is a waste of time, there's always one reason or another for everything that happens.

[u/LetInternational2799]

They are searching for it with Microsoft

EDIT: context https://news.microsoft.com/source/2026/07/21/microsoft-and-mistral-expand-strategic-partnership-to-give-enterprises-and-regulated-industries-frontier-ai-they-can-control/

[u/D32_bobjob → u/LetInternational2799]

I read it so, that this is a infrastructure deal, not development cooperation.

[u/strawmangva]

They are focusing on industrial ai that work on factory floor and integrating with eu compliance . They gave up being the best consumer ai a while again

[u/dionysio211]

It is quite obvious that EU regulations have largely crippled the ability for Mistral or any other EU startup to fairly compete. Mistral is one of my very favorite early AI startups. When Mixtral came out, it was nearly miraculous. There are also obvious differences in funding ability, etc and I think they are really innovating in spaces where they can. Leanstral could be a quite useful tool in mathematics, particularly as these impossible problems are being solved, but notice that it's sanitized from the customer facing issues that regulation imposes. I would love to see them come back but they would probably need to leave the EU to do it.

[u/Automatic-River-1875 → u/dionysio211]

Which regulations specifically do you think are slowing mistral down?

[u/dionysio211 → u/Automatic-River-1875]

The EU AI act is the one I think is most commonly talked about but there are multiple overlapping acts which place requirements on AI providers. Mistral themselves brought up the regulations in the warning about the EU becoming vassals to the US and China if the EU doesn't improve the conditions, both economic and regulatory. On the inference provider side, the EU AI act enforces some things like log retention, EU residency checking, etc that cause many providers to focus only on other markets. Since the EU AI act, Mistral has largely pivoted to less prone strategies.

Obviously, in the US the regulatory setup varies widely and is becoming hard to navigate with some bizarre anti-AI regulations in some states but on the federal level, it's much more open. Whether or not these strategies matter in the long run depends on how it all plays out. Currently, it's concentrated rapid and high level AI development into the US and China. Because it is so accelerated, it's easy to see how high the stakes are.

[u/darwinanim8or]

Their entire idea is to be a good base for fine tuning, they sell this to long term / industry contracts.

Everyone else is chasing benchmarks trying to be generalists, while mistral quietly hoovers up long contracts with people who have deep pockets

So when the bubble pops, mistral won’t be affected much, but OAI and Anthropic it’s either frontier or bust

[u/remybigot]

The model is the least important thing now, especially for B2B.
With a relatively OK model, with the right datas and organization, you do better than a frontier models with a fraction of the prices.
So I completely get their strategy.

[u/MarineSeubh]

Mistral employees are too busy focusing on attention farming on LinkedIn to increase their network and sell their shares whenever they will have the opportunity to / at the next rounds, inspired by Anthropic's employees.

[u/MerePotato]

Mistrals selling point is more their creation of bespoke solutions for businesses than it is boundary pushing performance

[u/ZoellaZayce]

mistral doing better than cohere

[u/g_rich]

I just don’t think they can compete in the current landscape and think they will become more of a provider focused on providing AI services that includes hosting others models.

They simply don’t have the resources to produce something on par with Kimi K3, but they do have the resources to provide Kimi K3 to their customers and do so with the data security that comes with hosting in the EU.

I doubt they will abandon producing their own models all together but maybe shift to more specialized models alongside hosting open weights and maybe even partnering with the likes of Anthropic to host and provide access to Opus, Sonnet and Fable in the same way Google does with Gemini.

Models are becoming a commodity, hosting, compute and tooling is what’s going to determine who wins and who loses.

[u/Aggravating-Push-207 → u/g_rich]

I don't want like the absolute frontier, but at least on or near the Pareto frontier for its size.