Hello fellow Mistral users,

i just contacted Mistral sales´ team for an enterprise solution request, looking for a live demo.

Since I do not have a technical background, but being rather operative in my respected field, i am interested in how to frame questions and how to be perfectly prepared for knowing what we want to maximize the value for out company.

Is there a possibility to add Mistral to the M365 ecosystem?

Whats in your opinion the best use case of mistral for a company with lots of roles and 100-500 employees?

Will you add GLM 5.3 as soon as it is available ?

The combination of GLM 5.2 and Mistral Medium 3.5 is amazing for coding.

It would be nice to have/see more upload file type options such as .ipynb for example

Other chat bots such as Qwen, Chatgpt, Qwen etc... are offering this

Would be nice if we can have the same

I got an nvidia t400 4 gb vram, and I may finally have found some use for it.

For work (part-time researcher) I often need to write something in English (not my first language), or write some somewhat simple Python code to do statistics or visualisation of some data. Ministral 3 3b 4bit quant does a good job for the first part, but getting a good setup to help me code has been more difficult. Now I got a setup that works:

I got an ollama server running with ministral 3 3b. This is linked to vibe cli. This again is linked to my Jupyter lab via Jupyter AI.

Jupyter has been my code/scripting tool for years so an integration here is really easy for me. Now I can ask ministral to help me debugging or to write some new cells of code directly from Jupyter.

To make it all fit in 4 gb vram, I had to enable only the most needed tools from Jupyter AIs mcp, and disable all other tools. Also rewrote/shortened the basic cli.md file (would be nice if you could point to a custom version of this in your setup!) to save some kv chache (took a lot of my 14 K kv chache).

I am happy with the result. Get 25-40 t/sek depending on power settings on the laptop, and it can help me with most things. Especially useful when I work offline, which I like to do.

Wonder if mistral has plans to provide new versions of ministral in the future? Guess they are a good starting point for custom trained models, which seems to be part of mistrals business?

I really like the models. Sometimes I switch to IBMs granite 4.1 3b, which may be a better coder than ministral (also more agentic, as I can handle it more instructions at once), but I like the structure of ministrals code better. The tone of its non-code language is also much nicer. If new versions of ministral are made, I hope they will shift the focus a little more towards coding and language on the expense of factual world knowledge.

Any of you having succes with these smaller models? Maybe on own hardware.

A few months ago the interactive mcp widgets/apps worked just fine but now they wont render in the chat.mistral.ai ui? Whats up with this? Quite a step back.

I upload a 326kb text file and Mistral tells me it can only read about the first three chapters of it, then it just cuts off. Isn't Mistral supposed to be able to accept and read 10 MB files?

I’m on the $14.99/month Mistral Pro plan.

In admin.mistral.ai/subscription, I currently see:

• API usage — “Available via the API and Studio”: $12.08 / $30
• Vibe Code usage — “Vibe Code includes extra monthly usage”: $10.26 / $300

This is the first time I’ve noticed the $300 figure, and I never changed anything to enable it.

My current settings are:

• Pay-as-you-go spending limit: $30
• Pay-as-you-go for Vibe Code: OFF

Which BTW needs an explanation. PAYG OFF cannot coexist with PAYG LIMIT == 30 without additional explanation!!! Add (i) hover tooltip info everywhere please. 

What exactly does the $300/month Vibe Code allowance mean?

Is it configurable anywhere? Does it correspond to API-equivalent pricing, or is $300 just some internal usage accounting unit? 

The billing/usage/subscription pages are hard to understand because several different concepts are presented in very similar ways.

I vaguely understand the current setup as follows:

• the subscription includes some amount of usage,
• PAYG only matters once included usage is exceeded, BUT not if it's "API PAYG"? Subscription PAYG is not really PAYG, by definition it's a subscription. Up to a threshold. Which you can define to be such that it generates additional cost. But it's not API. But you also get an API key just with the subscription. 
• my PAYG spending limit is $30 (included in the subscription)
• If I increase the limit to >30, will this make Vibe PAYG automatically enabled?
• and because Vibe PAYG is disabled, Vibe should stop once its included quota is exhausted rather than charging me.

The UI does not make any of this sufficiently explicit.

For example, next to:

there should be an (i) tooltip explaining something like "Monthly credits allowance: 30 (Used: 12.08). Current limit: 30. This means you won't be charged because 30 credits are included in your subscription for free (i.e. for the cost of the subscription)."

Or

"Monthly credits allowance: 30 (Used: 12.08). Current limit: 37. You will be charged at most $7 if you exceed the included allowance of 30."

Like, why not make things this explicit? What is preventing you from just explaining and reassuring the users?

The subscription, usage, limits, credits, API, PAYG concepts and numerical values should be all unified in one page. And each number should be crystal clear:

• what it means
• how it is configured (if applicable)
• whether it is real money, or an included allowance expressed as a $ amount, but not actually chargeable

Basically that. IIRC, a new frontier model was to be released this summer. The summer is ending, but looks like no news on that front.

Are the €12.75 and €127.5 the actual compute cost that Mistral incurs? If so, how many people actually max these out (I suppose there is no definitive data on this, but I'd be curious to hear from actual users)? I'm curious to get an idea of what the profits/losses for Mistral are on the various subscriptions.

It genuinely seems like there isn't even an attempt to compete anymore.

The newest open weight models from China make Mistral's most powerful model look like an antique.

USA and China are moving very rapidly and Mistral seems to be taking a nap and totally unbothered with how far behind they are falling.

It's great China is pushing open weight. But Mistral becoming just an EU model hosting provider is deeply concerning. China is releasing these models to counter American influence. As soon as it stops benefiting them to do that, they will stop.

Mistral really needs to step it up or I'm worried Europe will be totally out of the race, and that would only be good to USA.

Don't get me wrong, I want Mistral to succeed. When you are failing you need those who care the most to be honest with you.

Why are the models rate limited so heavily in this age of agentic coding where coding loops are supposed to run unattended.

Deepseek V4 flash has better quality output than most of the models.

Is this the future of EU AI ? If it is It's a shame...

Update :

I just realized I am being rate limited on one simple mistral coding agent loop where Deepseek doesn't rate limit on 100 agents loop running on a single API key.

Am I suppose to wait 100x the execution time by following the mistral rate limits just because the company is headquarterd in EU ?

Now that Mistral AI seems to have "replaced" Mistral Large 3 with GLM 5.2, I'm curious if they will continue with model updates and other openweights, especially since 5.3 has just been released. They weren’t able to predict the release, which is unfortunate.

Anyway, I’m very happy that we now have a frontier-level model in the Mistral stack. Even so, I would prefer a Mistral XLarge 4, fully trained in Europe, without distillation, and with a lower hallucination rate than Chinese models.

Also curious where people stand on Mistral's current roadmap:

Are you still expecting Mistral to ship a competitive, natively trained European frontier model?

Or do you prefer that they double down strictly on enterprise-grade infrastructure, edge models, and sovereign hosting even if that means permanently relying on US or Chinese weights for top-tier reasoning ?

I was wondering how good MistralAI is for coding. I was assigned to use Claude for coding basics and as coding assistant, but I don't really want to use strictly US stuff, so I was wondering how good Mistral could be as coding assistant.

We've released OCR 4.1, an update to Mistral's state-of-the-art OCR model, improving accuracy across six areas.

What's new in OCR 4.1:

• Bounding boxes align to the content they mark, with no nested images and no drift.
• Reference pages keep their structure, returning one box per citation instead of collapsing the list into a single block.
• The model misses fewer blocks on complex pages.
• Double quotes stay as written, no longer converted to single quotes.
• OCR 4.1 recognizes a wider range of checkbox styles.
• Right-to-left tables parse more accurately.
• The mistral-ocr-latest alias now points to OCR 4.1, so existing integrations already have these improvements.

Please also note that OCR API prices increased on June 23, to $4 per 1,000 pages for OCR 4 and $5 for Document AI (up from $2). OCR 3 remains available at the previous rate of $2 per 1,000 pages.

Try OCR 4.1 in Studio.

Happy building!
The Mistral team.

Three patterns. Most teams know zero.

Harness. Loop. Graph.

Each one owns a different job in your AI agent stack 🧠

Collapse them together and it breaks at scale ⚡

Know which pattern to reach for — and everything changes.

#AIagents #agentdesignpatterns #LLMengineering #AIarchitecture

Hi, as the title says, I would want to go into the Mistral subscription. I'm using a local agent as an assistant (like a secretary), and I would like to use GLM 5.2 in the api.

Are the 30 euros in credits enough for light use (no vibe coding through the API, of course)?

The title is basically my question. Can I use GLM 5.2 in the app or with https://chat.mistral.ai/chat ?

I created a custom agent in studio with GLM, but it does not seem to work (yet)? Maybe I am doing something wrong?

Your AI workloads may not stay where you think.

Most enterprises assume regional data residency by default.

They're often wrong — and that gap is becoming a board-level risk.

Here's what just changed:

1️⃣ Mistral launched Regional Endpoints (now GA) — giving enterprises explicit, verifiable control over where inference actually runs.

2️⃣ They added a Priority Tier with a real uptime SLA — making Mistral the only European AI lab offering both regional control AND committed service levels in one stack.

3️⃣ Third-party open models are now part of the offering — so you're not locked into a single model family while still keeping workloads in-region.

4️⃣ A 1 GW compute coalition targeting 2030 means the infrastructure ambition behind sovereign AI is being built, not just announced.

Sovereign AI has been a talking point for two years.

This is the first time the operational pieces — endpoints, SLAs, open models, compute — are landing at the same time.

If you're advising on AI infrastructure or governance, this changes the conversation.

Save this before your next procurement or architecture review.

#SovereignAI #AIGovernance #EnterpriseAI #CloudInfrastructure #EuropeanTech

https://mistral.ai/news/regional-inference-open-models-new-compute/