I know, Mistral is cooperating with Black Forest Labs models (Flux) for photo generation. Today, par hazard, I learnt it can also generate videos within Vibe web app(using Flux 3). It is interesting, how this feature was not at all published - or did I miss something? Flux 3 is really good, and I can use it within my Mistral subscription. That’s great news - why not make it more public? What is your experience with video generating?

My Deep Research runs complete in just a few seconds with a canvas report, which makes me doubt it actually searched the web properly. Am I the only one, or is it broken for others too?

I used the skill deep search and asked to make a deepsearch

Previously in Vibe there was a „Research” option that thought about the question for a couple of minutes and returned a thorough research on the topic. Where did it go?

I’m trying to connect mistral to a memory system MCP server called OmniMem. I have a test install on an instance with Tailscale running and funnel configured. I can hit the endpoint from other agents but mistral seems not to be able to resolve the url. Has anyone worked around this or had a similar problem?

Ric

Hey everyone,

I am looking to apply for the applied scientist position, and somebody told me there is a PyTorch round and a pair programming coding round. Could someone potentially know what the pair coding round is about ?

Thanks :)

Vibe chat is a mess now. A member of r/MistralAI was concerned about losing turn-based chat. This was 4 months ago. Well, it's gone now, and everyone notices it.

The replies to my queries are wider and deeper now, but global memory is GONE. I've compensated somewhat by having longer threads.

Skills and knowledge and special instructions simply do not replace turn-based chat.

I hope the company rethinks its position, but I doubt that they will. For me, this has become the wrong tool for the job.

Update: We're in the middle of a rollout which started in September. Our chat histories are supposed to be converted over to an editable Knowledge Base. Evidently, mine hasn't happened yet. I'll let you know!

Recently, when using OpenCode with GLM-5.3 I'm repeatedly running into this issue. It is very annoying.

"Error: Mistral Chat received content after the finish reason"

Tried to migrate my projects and settings to Vibe CLI hoping this problem might be an integration problem with OpenCode. I even found people trying to solve this in OpenCode: https://github.com/anomalyco/opencode/pull/49167

Now, seems like I'm seeing the same issue in Vibe CLI. The error wasn't visible in the frontend, but I'm because I persisted the finding in the context that was used by both, OpenCode and Vibe CLI, it responded that it was the same "GLM stream glitch".

Is somebody else experiencing this? I'd be happy if this would be solved.

Hello
I have a Pro subscription and use GLM 5.3 with the CLI interface.

From what I understood, in this case I am using Vibe Code, yet in the details of my subscription, I see that I only have:

12.75 € of allowance for API/Studio
127.5 € of allowance for Vibe Code

And despite my exclusive use of the CLI (Vibe Code), I have:

0 € / 127.5 € of Vibe Code allowance used, and
6.18 € / 12.75 € of API/Studio allowance used

Is this because GLM usage is deducted from the (tiny) API/Studio allowance rather than from the Vibe Code one?
Why is that?

After a while without using Mistral, I went back to it today and I noticed that the modes “chat” and “work” have been merged into… “work”.

I don’t know what is the naming team doing, or if there is a naming team, but most people using an LLM don’t use it for “work”, but to ask simple questions.

Is Mistral only for work ?

It’s the same issue as when they renamed their LLM from Le Chat to Vibe. Is it only for Vibe coding ? Did they invented Vibe coding ? Are they the best at it ? We all know the answer to this questions.

My request to the Mistral team would be to assess how they want to name things for the general public.
The strategy of mistral is not the general public but in the end people pay for chat gpt because they could use chat gpt free version.

Same issue on web and on the mobile app (iOS). I have Autosend mode activated: I speak, then I stop, and I can see the "capture line" is flat — meaning it's not detecting any sound/voice anymore — but it just stays like that and nothing is sent.

If I click the "Send" button manually, the message is sent correctly. So the transcription works, but the automatic send on silence doesn't.

Do you have a similar issue ?

They pushed an update and now vibe thinks on every prompt, how do I disable it, I eats my token on useless things and overthinks the terms i use and refuse to do things.

I have applied multiple times, every time I get confused by the "what do you optimize in life" question. Never hear back from them .

Is there something I should do/know ?

For the record, I have 3yoe within a multinational (bigger than Mistral) but I need visa . I did apply to some in my country and no response. I think those are just ghost jobs ???

the chat is mainly a collection of articles and notes that I have dumped there for later reference. Out of all my chats and all my projects this one just keeps getting stuck.

in brave i get this error: Error code: RESULT_CODE_HUNG

I have cleared browser cache, cookies everything. There are no crazy tables, no apps connected to this chat.

Mistral said its next-generation model will close the gap with U.S. AI labs “very significantly.”

Source CNBC : https://www.cnbc.com/2026/09/29/mistral-ai-safety-openai-anthropic.html

Mistral had that special moment in 2024 when it first appeared and suddenly made Europe feel relevant in the Al race.

Now the question is: when do we get that moment again?

Maybe Mistral 4 is the comeback - the release that makes everyone stop looking only at the U.S. and China and start watching Europe again

I have been playing around with many AI Harnesses, particularly ones for coding. While its not perfect, no software is, the harness by mistral is the best I have used frankly. Note I have used Oh my pi, standard pi, claude code, antigravity, codex, reasonix, bionic, and zcode. None allow me to get as much work done as mistral vibe does.

First, it never seems to really wander. With so many agents they seem to love to treat my computer like its there playground and will start just searching through any and all files on my computer and reading them. As if it was not designated into a particular directory for a reason. While I know there are ways to sandbox your agent using cloud virtual machines or containers, and of course everyone should be doing that. Although for small personal or open source software projects I shouldn't have to deal with that. Also since so many companies like to claim there products as every man tools that anyone can use to code they should implement an actually good base level of sand boxing or restrictions to the directory it is assigned to. Although, if they put any effort in properly keeping the agent in line how else would there agents "escape containment" and get them there buzzy headlines.

Secondly, in mistral vibe it seems as though the agent is less likely to go into manic reading. A lot of the other agents will spend a good 10 minutes just reading every line of code and text instead of just reading the needed context only.

Thirdly, it seems to be really good at hitting cache. I used deepseek api on all these harnesses as the test model, and the allocated test fund seems to last a lot longer on mistral vibe than any other agent for similar sets of tasks.

All in all, I just wanted to say how much I love mistral vibe despite its occasional bugs and lackluster image input support. I highly recommend it with mistral vibe pro plan as you can get a lot of usage out of it with GLM 5.3 and also the deep seek api works great with it. Low key kinda wish mistral just focused on EU open source model hosting and tooling, but maybe my opinion will change when LE CHATON SOL MYTHOS releases "soon".

Todoist has examples on how to connect several different AI models to Todoist. Has anybody successfully connected Mistral to Todoist?

👉 https://www.todoist.com/de/help/todoist/todoist-and-ai/connect-todoist-to-an-ai-assistant-xMSzFfHng

Edit: I added Todoist yesterday and it really works like a charm.

I am on a free tier account and have been using "mistral-ocr-latest" once a month to extract text from an image.
It was working fine for the past couple of months but suddenly now I keep getting error 429 "Rate limit exceeded" even though I only send a single request in a month!

Has there been changes to the free tier or the OCR model that could break it like that?
Is anyone else experiencing this?

Wouldn’t be nice if mistral drops a real level one model ?
They are presenting Shieldstral for moderation but it’s not a level one model.
How doesn’t compare to jev in simple classification tasks ?

why did they force thinking mode on the mobile? are there no way to disable it on the app?

Does anyone know if Mistral has a safety or instruction layer in front of GLM 5.3? Even if they do, I wonder how robust it is.

I recently noticed some interesting words in the reasoning section of Mistral Vibe. During it's reasoning it used words like "ugh" and "whatever". Have you folks noticed this? I thought it was funny. Have you had any similar experience where the reasoning showed some elements of persona or emotion?

RuntimeAI's September 2026 AI Security Report covered 126 incidents across 38 named organizations — 22 critical, 102 high severity. 53 of those incidents had AI either as the attack tool or the target. AI-agent exploits were the top attack vector at 39 incidents, ahead of credential theft (27), zero-days (22), phishing (10), and ransomware (10). The largest single exposure was 220M records from unrotated default service-account credentials.

What stood out: every organization in the report was already running a mature security stack. Okta, CrowdStrike, Palo Alto, Microsoft Defender. Still got hit. The gap is that none of those tools sit at the layer where an agent actually executes a tool call.

RuntimeAI operates at that layer. Know Your Agent handles cryptographic agent identity. The Flow Enforcer inspects tool calls in real time. There's also a sub-50ms kill switch that can halt a compromised agent before a second action completes.

Full breakdown (incident-by-incident, CVEs, vendor stacks): https://runtimeai.io/blog/2026-09-monthly-breach-report.html

We're running a live demo on October 14 — ten attack surfaces, live against a real stack: https://www.linkedin.com/events/7510769146222133248?viewAsMember=true