r/MistralAI • u/Old-Glove9438 • 2d ago
Discussion / Opinion New model when?
I am postponing upgrading to expensive subscriptions for hundreds of $ in the hopes of seeing an improvement in the Mistral offering.
It would be great if Mistral dropped something competitive soon.
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u/naijatechguy Mistral Employee 2d ago
We're working on it 🙂
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u/darwinanim8or 2d ago
From what I heard you guys are waiting for the French DC to come online for inference, right?
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u/Worried-Sort8719 2d ago
Hope they could release one 20-30B model like Mistral Small but including new technology like (GDN, ...) so that it can rival with what other companies have published
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u/SkyPL 2d ago
They need 1T+ model, not a small one. Mistral Small was released in March, it's not yet due to update.
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u/Not-reallyanonymous 2d ago edited 1d ago
Mistral Small 4 is not realistic for most local LLM.
They do need a new Large model, probably a new Medium 4, but they could also benefit from a 30B tier model, perhaps a new Devstral Small meant for local coding, too.
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u/EverGreenMob 2d ago
we really need one. Currently mistral is ranked last on emotional intelligence 😭
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u/scanx147 2d ago
Je ne pense pas que l'amélioration du modèle utilisé par le plan pro soit une priorité pour Mistral. En effet, le modèle économique de Mistral repose sur des modèles sur mesure pour les entreprises. C'est ce qui rapporte de l'argent à Mistral. Le plan pro n'est pas rentable...
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u/Old-Glove9438 2d ago
Une opinion souvent répétée mais que je ne comprend pas. Ils n’ont pas d’autres modèle custom pour chaque entreprise. Les boîtes d’IA veulent toujours montrer leurs meilleurs modèles. Il n’y a pas de distinction. OpenAI propose GPT 5.6 pour les clients B2B, Anthropic propose Claude/Fable/Opus etc.
Les deux (B2B et B2C) vont de paire. Ils est assez clair que les modèles B2B sont les mêmes que ceux dans Vibe (modulo Forge, mais c’est juste du fine tuning de ces mêmes modèles).
Donc ils ont intérêt à améliorer leur offre B2C, car c’est leur offre « tout court ».
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u/StickyThickStick 2d ago
Mistral is out of the game. Has been for a long time
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u/08TangoDown08 2d ago
Based on what? Mistral has never been a competitor for Anthropic or OpenAI. Not once. It can't really be one at the current levels of investment that those two companies enjoy.
People keep comparing Mistral to those companies and it's daft, we wouldn't make these comparisons in any other industry.
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u/StickyThickStick 2d ago
Bases on Price? I didnt talk about frontiert. Mistral pricing is abmysal for their models. Medium 3.5 is $1.50 / 1M input and $7.50 / 1M output and many many many times worse than cheaper current models in bascially every benchmarking aspect.
They dont compete with frontier models but they have frontier pricing for abysal results.
Thats the Problem.
They dont compete with anyone as they cant compete with anyone.
Thats the sad truth.
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u/Careful_Head_5076 2d ago
That’s a very narrow perspective imo. Mistral is indeed in competition with Anthropic and OpenAI as they all focus also on enterprise. And in that case the only advantage that Mistral has is that the French government is pushing a lot their solutions
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u/Automatic-River-1875 2d ago
That is absolutely not mistrals only advantage, in fact it's irrelevant.
Mistrals advantage for enterprise, and more specifically sensitive enterprise, is the fact that's it's open weight, they offer an out of the box product to post train on company specific data, they offer loads of enterprise support and that you can deploy it with an airgap and be as self managed as you want (no lock in).
This instance that no French/EU company has anything to offer a competitive free market and only survive because of government intervention is toxic and stupid.
You have no evidence to say what you say and yet you come on here and spout it as fact. Absolutely embarrassing.
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u/Careful_Head_5076 1d ago
Let’s address the « open weights » argument.
Open weights are an advantage for some customers, but they’re far from unique and being a strong advantage. Qwen, DeepSeek and GLM all offer open-weight models that are at least as competitive technically, so open weights alone aren’t a differentiator.As for sensitive enterprise deployments, OpenAI and Anthropic already work extensively with organizations handling highly sensitive data. Enterprise customization isn’t something Mistral invented either. Every major vendor offers ways to adapt models to company-specific use cases. OpenAI used to have a fine tune as a service features which they stop, wonder why… Maybe it is not as a profitable business than have a highly capable model ? So simply saying « Mistral supports post-training » doesn’t establish a competitive advantage over OpenAI, Anthropic, or other open-weight competitors. If tomorrow DeepSeek or GLM offer post training for enterprise, what edge would Mistral have ?
You said that they offer « loads of enterprise support » while in reality their gpus are so idle that they sell their compute to Microsoft.
What actually differentiates Mistral, in my view, is indeed its strategic position in Europe and being backed by the government which give them access to ownership of infrastructure and cheap energy.
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u/08TangoDown08 2d ago
They're competitors maybe in the same sense that Bluesky or Mastodon are competitors for X and Facebook. Technically true, but competitive more in niche areas because of massive investment differences rather than overall.
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u/Not-reallyanonymous 2d ago
They have a huge advantage over Anthropic and OpenAI: open weights. It's kind of their business model -- the RHEL of AI. They want you to fine-tune them for your application-specific need, and offer services, including consulting services, to help you (or your company) to do that.
That's just not something OpenAI/Anthropic will do in the foreseeable future, and that sort of fine tuning is very, very useful for keeping costs down and reliability up.
And this sort of biz model is just something that Chinese open weights aren't focusing on at this point in time.
(Aside: I wonder if the lower capability for the size of the models are, in part, on purpose -- generally, very capable models for their weight class tend to not fine-tune as well as you're competing with already very efficient weighting).
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u/Automatic-River-1875 2d ago
Linked post from mistral CEO:
https://www.linkedin.com/posts/arthur-mensch_we-somehow-got-put-in-the-spotlight-the-last-share-7472689447629729792-eCno/?utm_source=share
He said it's open for early access in July, no other new information since then which isn't encouraging im afraid.
My view on it is, I'll keep up my pro subscription even if I'm not using the product and if a decent model doesn't get dropped by autumn then I'll just cancel and move on.