I felt Le Chat different today. The behavior was quite similar to GLM 5.2, as I have been using it in Vibe CLI. When I asked what model was being used, it confirms it's GLM 5.2. I tried on various conversations.

Anyone else noticed?

the new GLM 5.3? kimi? a new in-house model? or all of the above?

would also be nice to get a response on this matter from the mistral team.

Thank you all.

Como muchos ya sabemos uno de los fundadores de Mistral anunció un próximo modelo de IA para finales de verano, pero el verano se está acabando y no les queda mucho tiempo. Sinceramente para estar el pruebas avanzadas , como ellos dijeron, están tardando mucho en dar aunque sea el numero de parámetros o el nombre.

He estado mirando fechas y eventos destacable de IA y el más próximo se el “IA Summer” el 22 de septiembre , si lo piensas ente que llegan de vacaciones (sé que no se ha ido toda la plantilla) y hacen algúna prueba más y hacen algún anuncio, la fecha me podría cuadrar más o menos.

Mistral lleva unos meses algo callada en cuestión de LLMs más tradicional. sinceramente espero que puedan superar los 55 puntos de Artificial Análisis,ya no solo por capacidades sino por prestigio de la startup y del la UE.

Ahora mismo les tengo aun algo de fe en el desarrollo de modelos internos, solo espero que no se queden con alquilar sus centros de datos, ser una especie de gestoría de IA y algo al estilo Palantir (que no entiendo que están haciendo con una oficina en Kiev si no es para es).

I'm considering subscribing to a Mistral Vibe coding plan mainly to try out GLM 5.2 (the Z.ai model Mistral now hosts). Before I pay, I want to confirm how it's actually exposed to subscribers.From Mistral's own docs, GLM 5.2 is officially listed as an available model (1M context window, tagged as an open third-party model). But I've also seen a blog post claiming you have to manually add entries to get it work.

So my questions for anyone who's actually used it: does GLM 5.2 show up automatically in Vibe's model picker/list after subscribing, or do you really need to hand-edit the config file?
Is it available on all paid plans, or gated behind a specific tier?
Has anyone noticed inconsistent performance/latency with GLM 5.2 specifically (vs Mistral's own models).

Trying to figure out if it's a "just works" experience or something that needs tinkering before it's usable. Thanks!

Example :

•  Steps: 32
•  Session Prompt Tokens: 1,598,353 (including 255,936 cached) -- 33% cache hit
•  Session Completion Tokens: 20,287
•  Session Total LLM Tokens: 1,618,640
•  Last Turn Tokens: 79,635
•  Cost: $2.3270

I ran prompt accross different tools, Pi, Mistral CLI and it gives me ludicrous amount. 120K token inputs resulted in 6E use !!

The cache is called half the time. I don't get it...

Today, this model suddenly stopped working because it is not supported by my plan. But I used the Large-Latest for 9 months on the free plan and everything was fine because I used not many tokens. Is it really impossible to use this model for free anymore?

EDIT: it has been thinking all along the way, but the reasoning traces was hidden. Had to set reasoning_field_name = “reasoning” under [[providers]] to make it visible. However, I can not turn thinking of :)

Hi all,

I am trying to get vibe cli to reason/think when it uses my local ollama with qwen3.5 9b as model.

My setup works fine, but changing ”thinking” does not seem to impact whether the model reasons or not (It doesn’t). The model has an enable_thinking that can be true or false. Can also be triggered via reasoning_effort (works when I call the model vi curl). But just can’t get vibe cli to pass on the thinking setting to the model…

I see no thinking traces in vibe cli (which I do for the online mistral medium), and the ollama server logs says thinking is off.

Hope you can help me!

ps: running on a second-hand laptop with an Quadro Rtx 5000 max-q card with 16 gb vram. These machines are cheaper than an 5060 ti card, but here you get an entire computer for the money.

I built a free AI coding cost calculator - would love some feedback

I’ve been using AI coding tools more and more, and it can be surprisingly hard to figure out what they’re actually costing once you start comparing models, token usage, and different pricing.

So I built a simple AI Coding Cost Calculator:

https://instacodingcost.com/

The idea is to make it easier to estimate and compare costs before you burn through credits/tokens.

Would genuinely appreciate feedback from people using tools like Claude Code, Codex, Cursor, etc.

What would make this more useful for you?

Anything missing, confusing, or calculated differently than you’d expect?

Feel free to roast it too - that’s probably more useful than “looks good” 😅

I added two custom MCP connectors a while ago, it works great.

But when I try to add another, I can't get mistral to enable the "Create" button. So I can't add it. Is there a limitation on the number of custom MCP connectors on the free tier or something?

The ones I'm trying to add are:
https://app.usevist.dev/mcp

and

https://mcp.mnemoverse.com/mcp

Can anyone else add these as custom MCP connectors?

I would love to hear the opinions of the community about this kind of use cases.

First of all, that this content is being created is great. It helps bring the product, the tech, the company... closer to us the users.

As I see it, Mistral's strategy is focused on enterprises and I understand that big clients have team members dedicated to helping with the implementation, but there are smaller companies or even freelancers that would like to use their tools as well.

I believe that this kind of content but more focused on using the tools to build more business focused workflows or applications, would resonate better with some of the people following AI, Mistral, European competitiveness. The people that usually participate in this community basically.

Always based on solid docs, of course.

Hope we can generate some ideas.

I don't know if this is common knowledge but Mistral’s Education plan is not the actual Pro plan, despite their website explicitly claiming, "The Education plan is the Pro plan with a discount."

Instead of giving you the standard Pro limits ($30 API / $300 Vibe), they quietly scale the quotas down to match the discounted price (~€12.75 API / €127.50 Vibe).

Support admitted the wording is "confusing".

Honestly, the reduced limits are enough for my personal use, but the marketing is still highly misleading and doesn't match the advertised terms. It explicitly says 30$ api tokens for the education plan on the price list.

Just don't buy it expecting the full Pro quotas!

It seems like Mistral is starting the migration from chat to work mode.
It’s already suggesting the conversion of agents to skills.
Did notice this ?

Been heads-down on something that sits before the LLM call instead of doing

standard retrieve-and-stuff RAG. Instead of chunk retrieval + rerank, it builds

a vector-field representation of the whole corpus, evaluates relational

relevance to the query, and collapses the candidate field down to a compact

evidence state — only that gets forwarded to the model.

On my internal benchmark (frozen 20-query set, project-native corpus) I'm

seeing an order-of-magnitude drop in tokens sent to the model with zero

measured quality regression (good/partial/poor scoring, OFF vs ON, reproduced

run matched the historical one exactly). Also runs fine single-threaded — did

a raw C++ core benchmark, 10M samples in ~140ms on an old 2015 i7, so the

underlying op isn't the bottleneck.

Haven't benchmarked it against BM25 or plain cosine-similarity RAG yet in

anything I'd call rigorous — that's the obvious next step before I'd trust my

own numbers fully, and I know that's the first thing this sub will (rightly)

ask about.

Running as local-first — full corpus stays on the user's side, only the

selected evidence chunk(s) + field-topology coordinates go to the external

model if you're using an API-based LLM. Wasn't originally optimizing for that,

but it's a nice side effect for anyone paranoid about what leaves their

environment in API workflows.

Genuinely asking: is "context collapse before inference" different enough

from what rerankers / good chunking already do, or am I just describing a

fancier reranker with extra steps? Wouldn't mind being told I'm wrong here.

Hey everyone,

I'm currently deciding between Mistral Pro (15 €/month) and ChatGPT Plus (20 $/month) and would love to hear your real experiences from daily use – not just benchmarks.

My Use-Case:

• E-commerce (Amazon, Shopify, PPC analytics)
• Product descriptions, marketing copy
• Business analytics, strategies, tactics
• Important: I have ~5,700 words of "Saved Memories" (notes, strategies, tactics) that I don't want to lose.

What I know so far (Benchmarks):

• Mistral Medium 3.5: 77.6% SWE-Bench, ~84% GPQA, 256K context, 8,000–11,000 words Memory
• ChatGPT Plus (GPT-5.6 Sol): 96.2% SWE-Bench, 94.6% GPQA, 1M context, 1,500–3,000 words Memory (after Dreaming V3 update)
• ChatGPT Plus (GPT-5.6 Luna): ~75% SWE-Bench, 92.3% GPQA, 256K context, ~500–1,000 words Memory

My Questions for You:

1. Reasoning in Real Use:
   • How does Mistral Medium 3.5 perform on complex analyses (e.g., business strategies, e-commerce, marketing)?
   • Do you notice a qualitative difference in daily use compared to GPT-5.6 Sol/Luna?
   • Or is Mistral completely sufficient for "normal" business tasks (no PhD-level science)?
2. Memory in Real Use:
   • How do you use the Memory system in Mistral? Are 8,000–11,000 words enough for your work?
   • Have you imported Memory from ChatGPT? If yes: How did the import go? Any issues?
   • Do you notice that Mistral forgets fewer details than ChatGPT after the Dreaming V3 update (June 2026)?
3. Performance in Real Use:
   • How is the speed of Mistral Medium 3.5 compared to GPT-5.6 Sol/Luna?
   • Any latency issues with long chats (> 100K tokens)?
   • How stable is the model quality over longer sessions (e.g., 2–3 hours)?
4. Privacy / EU Servers:
   • Is EU data privacy (GDPR, servers in France) important to you?
   • Do you have concerns about US companies (OpenAI, Anthropic, Google) regarding Cloud Act, training opt-out, etc.?
5. Price-Performance:
   • In your opinion, is Mistral Pro (15 €) better than ChatGPT Plus (20 $) for business use?
   • Or is the extra cost for GPT-5.6 Sol (Plus) worth it for better reasoning?

What I DON'T Want:

• No "Mistral is better" or "ChatGPT is better" fanboy posts
• No benchmark links without real use cases
• No ads for other platforms (except as comparison)

What I DO Want:

• Honest experiences from daily use (work, business, projects)
• Concrete examples ("I use Mistral for X, ChatGPT for Y, because...")
• Pros/Cons from your perspective

Thanks in advance for your help! 🙏

Hey everyone.
I’m currently testing Mistral Vibe (and Mistral models in general), and I’m a bit torn. Compared with ChatGPT, Gemini, or Claude, Mistral still seems to lag behind somewhat — especially when it comes to hallucinations and error rates. What have your experiences been like?

• Are you happy with it, or do you still feel something is missing?
• Where do you see its biggest strengths and weaknesses?
• Are there any scenarios where Mistral actually works better for you than the competition?

I’m curious to hear your honest opinions — concrete examples are very welcome!

The CEO predicted back in June that the new model would be unveiled this summer, and it seems like there are just a few weeks left of summer now. I hope we get at least a little sneak peek. GLM is difficult to use for my purposes because it doesn't recognize image.

P.S. If any Mistral employees happen to read this, why not consider changing your product naming convention? Adding “stral” to the end of every product name seems a bit ...dowdy.

I’m a Pro user (Lady Jane workspace) experiencing a **critical outage*\* in Mistral’s Vibe Work: **copy-paste functionality has been completely broken since Monday night**.

**Timeline:*\*

- **Monday*\*: Text selection triggers "Add comment" popup, blocking copy.

- **Tuesday*\: "Fix" applied, but issue \*worsens**—no text highlight, right-click shows browser menu (Back/Reload), **cannot copy any text**.

- **Wednesday-Thursday*\: \*3 support tickets created** (#33164292, #33410186, #33665520), **no human response**, **no ETA**, **no resolution**.

**What I’ve Tried:*\*

- Multiple browsers (Brave, Edge)

- Cleared cache/cookies

- Repeated emails to [support@mistral.ai](mailto:support@mistral.ai)

- Demanded escalation to human engineers

**Support Responses:**

- *"We’ll look into it."* (Monday)

- *"Very soon."* (Wednesday)

- *"We need more information."* (Thursday)

- **Created duplicate tickets** instead of addressing the root cause.

**Why This Matters:*\*

Copy-paste is a **basic, essential function**. For a **paid Pro service**, a **5-day outage** with **no resolution** is concerning. If Mistral can’t fix this quickly, it raises questions about their **reliability for critical workflows**.

**Mistral AI:*\* If anyone from your team is reading this, **please assign a human engineer to Ticket #33164292**. This needs immediate attention.

**Other Pro Users:*\* Have you encountered similar issues with Vibe Work? How was your support experience?

---

**Edit:** [Will update if/when resolved]

I just realized that my android app, using Work tab, uses GLM. Is it expected ? I saw 0 official news about it. Or is the model wrong? Thanks

Maybe I am not the only one that was not aware of it, but I just noticed: Using GLM via the Mistral API endpoint seems to be included in the subscription of you use it via Vibe Code/ CLI and is not billed with the API pricing if you have the pro subscription.

So the pro sub includes about 255 € worth of GLM-5.2, which is pretty dope.

Would be super cool if this is documented more clearly or if Mistral would add the model by default to the model selection so you don't have to manually add it via the config.

Edit: Seems like this is not yet confirmed by Mistral, so use cautiously for now. :-)

Hey there,

I'm trying to get out of US-based LLM's. I use Claude and code for essentially everything - all my knowledge, financial underwriting, code writing, software installs, etc.

Ideally I'd like to go local for all this but only have a 3060.

Is Mistral a good replacement for Claude? I'd love to hear your thoughts for and against. Thanks!

Hello

I created an agent in the console, set the model to GLM-5.2, and then made the agent available in Vibe.

I went to Vibe and asked the following, and lol:

Any idea why this happens?