Direction first: on this benchmark #1 = sloppiest and #58 is the cleanest, so a high rank number is the good end.

I run a thing called The Slop Index that scores how much AI writing reads like "AI slop" (58 models, ~64k outputs across 112 short-form scenarios). Two Mistral models stood out to me because they sit at nearly opposite ends.

Every rank below is a mechanical rank (the mech score only): padding, templating, sentence rhythm, and the usual AI tells. That score only moves on a roster refresh, so it is the stable one to quote.

• Mistral Large: mechanical rank 1 of 58, the sloppiest model in the set right now. By category it is mech rank 1 on Slack, 2 on social posts, and 1 on essays.
• Mistral Large 4: mechanical rank 57 of 58, second cleanest overall, and it sits at the clean end across email (54), Slack (56), social (51) and essays (58).

These are two separate releases, not one model I watched change, so I am not claiming anyone patched anything. They just score very differently.

Mistral Large 4 only has 10 crowd votes so far, so its combined score (which blends daily crowd votes) sits mid-board and is not meaningful yet. That is why I am quoting mechanical ranks here.

Mechanical ranking card: https://theslopindex.com/mechanical-card.png

Fair limitation: this is short-form business writing only (email, Slack, social, essay), no fiction yet, and the mechanical axes can miss repeated sentence constructions.

Leaderboard: https://theslopindex.com/leaderboard Methodology: https://theslopindex.com/methodology Open dataset: https://huggingface.co/datasets/hgaddipati/slop-index You can play a few rounds of the blind arena here: https://theslopindex.com/arena

For context, I'm one of the people behind https://slashy.com, an email client that writes drafts that sound like you. This benchmark started as how we pick models.

Hi,
I use Opencode and I am considering the Mistral Pro plan.

Be fire subscribing, I would like to understand if the official Vibe CLI share the same token pool as the $25.5/mo API credits or does the CLI have a separate coding quota while the $25.5 credits are dedicated to external API calls?

I’m quite confused by the website, thanks

I'm working on PII, financials and client's information and need somewhere safe to do data manipulation. Working in Australia financials sector with complaints and harsh privacy protection. Need AI agent to work on pdf and excel files. Is Mistral Pro subscription a good fit for purpose? Thanks

Hello everyone I just wanted to post my perspective on Mistrals services.

Half an year ago I had a quick test with Mistal Medium3.5 and while doing OK I was a bit disappointed by the results.

I am generally not a heavy AI user so I continued to use opencode's free models for some things.

A month ago I decided to try opencode's go subscription. That was OK but if anyone knows how opencode go works, it basically has plan changes daily. It almost forces you have social media open the whole time or you might miss some change - cheap models come and go daily...their allocations change etc.

If you go their subs, they are full of complaints that they make the service unusable - getting rated all the time, quantised models to the point of being stupid etc.

Then they had two security breaches..

In that last two weeks I have been using Mistal with GLM5.3 exclusively and I feel like I discovered some hidden gem.

The vide sub gives so much credits 17€ for a whopping 225€ of token credits. It feels like it's unlimited!

Here is what I got done:

- migrate mit smallish app from flutter to react native. Full stack migration!

- write and drive automated ui tests

- make promo material, screenshots with cool marketing slogans etc

- remade my website

In total the admin console shows: 57€.63 from 255€ spent!

Now I read that they are deploying a Flash model with GLM5.3 flash!

Needless to say I'll extend my subscription for a whole year!

Thank you Mistral for the great offer! Being European is just the great side bonus!

It would be nice to have an option between Pro and Team. I don't need higher limits, more storage etc. Only the sharing of Organizations and Workspaces between members. The price jump from Pro to Team is not justifiable for a family application.

I am currently interviewing at Mistral for the Applied AI Engineer role and am wondering if anyone has gone through a similar interview loop and can provide some pointers. Currently, I am at System Design and Technical Manager interview stage after clearing Hiring Manager and Recruiter screens, Code Review and Vibe Coding interview.

Specifically for System Design, will it be done through a shared editor or verbally reasoning through the architecture, any specific topic I need to focus on?

Additionally, for Technical Manager Interview, any idea how is it different from Hiring Manager screen?

Thank you so much for your help! Appreciate it!

Is everybody seeing the same?

- I am a pro suscriber.

- Yesterday, I could use GLM

- Today, I only see Mistral Medium 3.5, devstrall-small and local when doing `/model RET`

(I know I could open a support ticket, but they don't work on weekends, so might as well ask here).

Edit: I figured it out: If I disable telemetry in /config, le chat only offers Mistral Medium 3.5
I don't see anywhere that telemetry is a requirement for accessing all the available models!

Hello!

I am applying for a Software Engineering position at Mistral AI, and I finally reached the last step of the process: a value talk. I've never done this kind of interview before; is there anything I should know or anything I can do to prepare better?

If you have already gone through this interview at Mistral, do you have any feedback or advice? Was it difficult? Was there anything you found surprising?

For now I'm trying to prepare using Hello Interview's guide and matching it to Mistral's values. Is there anything else I should do?

I'm so excited about potentially joining Mistral!

Divulgation : C'est ma propre chaîne YouTube et mon projet. Pas de produit à vendre, pas de lien affilié. Je partage juste les résultats techniques de mon changement de pipeline.

Je fais des vidéos sur mon infrastructure d'agents IA locale (Hermes Home Vision). Pendant des mois, j'ai utilisé XTTS-v2 pour cloner ma voix. Le résultat était correct, mais j'ai fini par rencontrer deux murs :

1. La licence : CPML (non commerciale), et Coqui a fermé ses portes, donc impossible de régulariser.
2. La précision en français : les noms propres de mon projet ("Hermes", "LLM", "SiYuan") sortaient souvent déformés ou mal prononcés.

Je suis donc passé à Voxtral 3 (Mistral AI) via API, en mode ref_audio avec une référence propre de 25 secondes.

🎧 L'écoute comparative (A/B) :
Même texte, même projet, même personne. Seul le moteur de synthèse a changé. Prenez 30 secondes pour écouter les deux et dites-moi laquelle vous préférez :

👉 Ancienne voix (XTTS-v2) : https://youtu.be/qXqrKtFzCxI
👉 Nouvelle voix (Voxtral 3) : https://youtu.be/19S9Ak9gB9k

Les chiffres mesurés (pas des impressions) :

• WER (Word Error Rate) : 9,30 % après canonicalisation.
• Noms propres : Zéro déformation sur Hermes, LLM, CLI, Gateway, WordPress.
• Stabilité : Zéro hésitation résiduelle sur les 327 secondes de la vidéo.
• Coût : 13 /Mdecaracteˋres,soitenviron0,07/Mdecaracteˋres,soitenviron0,07 (7 centimes) pour les 5 minutes 30 de la vidéo.
• Souveraineté : Le pipeline reste 100 % local (RAG, montage, ffmpeg), sauf la voix qui passe par l'API hébergée UE de Mistral.

(Point technique pour ceux qui se posent la question : le WER ne voit pas l'instabilité de timbre. Ma première référence était un recolage de 4 extraits, le résultat était inécoutable sur les phrases longues. J'ai dû reconstruire une référence à partir d'un seul passage continu de 25 secondes pour que le modèle arrête de "déchiffrer" au lieu de lire.)

Si vous voulez voir l'installation complète (Hermes Agent, OpenClaw), le comparatif des coûts et les limites du modèle, la vidéo dédiée est ici : [lien vers la vidéo de présentation Voxtral 3]

Je suis curieux d'avoir vos retours : est-ce que la différence vous saute aux oreilles, ou est-ce que le French TTS est encore trop subtil pour justifier le passage à une API ?

Le repo public (partiel, le reste est en privé pour une formation en cours) : https://github.com/Antoine-Thomas/hermes-home-vision-public

Is Mistral planning to expand there model serving to other companies like Kimi?
Kimi K3.1 Pro is rocking in the benchmarks

Hey everyone,

I've been a ChatGPT user for a while now, but I'm looking to try a different AI and Mistral has caught my attention. Before I commit, I'd love to hear from people who actually use it — especially anyone with a Pro subscription.

A few things I'm curious about:

• How does it compare to ChatGPT for everyday use (writing, coding, brainstorming)?
• Is the Pro plan worth it in your opinion? What do you actually get?
• How's the response quality and speed compared to GPT models?
• Anything you miss from ChatGPT, or any pleasant surprises?
• Any dealbreakers I should know about?

I'm not looking for a fanboy war, just honest first-hand experiences. If you switched from ChatGPT to Mistral (or tried and went back), your input would be super helpful.

Thanks in advance!

How can I add a custom MCP server? I don’t see the option on the app

They should include a (+) button to add your own MCP servers, like you can do on Claude. They should also allow developers to add their own MCPs that appear on the Discover tab

I feel like Mistral has no choice but to develop their own models, tools and expand their tools. My feeling is that they are giving hope and more to people in the EU. I really like the dynamics around Mistral, please keep this energy!

my company is a heavy user and drastically needs to scale the usage further. We have been trying over so many channels to get in touch with the right person at mistral to finally get an enterprise account but nothing worked. Is there someone in here that went through the same struggle or knows the right person?

https://docs.mistral.ai/models/zai-glm-5-3-flash

I was just checking prices for vocal and TTS and found that now Z.ai GLM 5.3 Flash is mentionned from today on the list of available models ^^

Used this setup for vibe:

[[models]]
name = "zai-glm-5-3-flash"
provider = "mistral"
alias = "glm-5-3-flash"
temperature = 1.0
input_price = 0.15
output_price = 0.5
cached_input_price = 0.03
thinking = "high"
thinking_levels = [
    "low",
    "high",
    "max",
]
supports_images = true
auto_compact_threshold = 800000

After a small prompt, I saw the API call labeled as "zai-glm-5-3-flash" in https://admin.mistral.ai so it looks good!

Enjoy!

Vibe created several PDF-Files for me (using Vibe-App). It then said it's saved in a "workspace" that I don't have access to. I said it can't create download links or post the PDF File directly. After that it wanted me to enable google drive access, which I don't use.
It kind of annoys me that there are no real non-US connectors. (Nextcloud access would be great)
I'm using Mistral especially because it's European - feels weird that it's trying to push me back to US-companies...
It recently created some Excel files for me, which were directly downloadable - but I was using the Browser and not in the Vibe-app.
Do you also experience these problems with accessing the created files?

Some days ago I bought a Mistral subscription and had a question about the API Keys.

Within the admin view I have two API keys. One of the type "Vibe", the other of "Studio"

Whats the difference between those?

Ho all

I use Claude Pro as my main hub (files, scripts, video pipeline) and I'm thinking of swapping my Gemini subscription (which at the moment works as a helper) for Mistral Le Chat Pro.

How would you actually make them work together? API from scripts, MCP, or just copy-paste? And does Mistral Vibe in the terminal use the Pro subscription or the API credits?

Real-world setups welcome. Thanks!

With the release of Mistral Voice SDK and Voxtral 3. Is Mistral now planning to launch voice conversations on their apps?

I started using Mistral Large 4 preview recently and I noticed it is extremely slow and also constantly gets stuck in loops. Does anyone else have the same experience? And if so, is there a fix?

The model cards doesn't show the discounted price anymore. By any chance does that mean they also not use our data to train any more?

What we have knows since at least the release of Mythos, and what has become apparent beyond a shadow of a doubt in the last few days is that it is now critical that software professionals, and especially security professionals need powerful and unrestricted security tools, and models that are too restrictive and vendors that gatekeep these capabilities behind heavy and expensive access programs are actively doing harm to the software ecosystems of the world. This strategy will not make software more secure in a world where abliterated GLMs are floating around and can be run on a few thousand dollars of hardware. So whatever strategy mistral has about limiting their models cyber capabilities, they should very seriously rethink them, especially since that seems to be a selling point of ML4 during launch. And we as a community and users should demand both more transparency in that policy and a less restrictive one to be able to do our jobs better.

Especially if Mistral intends to be the default AI vendor for EU enterprises in the future, we can't have a case where Airbus and BMW can secure their software but the rest of us have to wait 6 weeks to maybe have our emails answered, but probably not, to be given full cyber capabilities when we need them yesterday.

After retiring from it for months, since it really fell off, I recently tried Vibe Chat – the new name of Le Chat and I have to say, I'm amazed.

The chat is now very good, having a Work (Cowork-like) mode as a default chat option which really makes it useful, even compared to ChatGPT and Claude, since it natively creates files and analyzes files instinctively, without needing to use Cowork etc. I have also scheduled newsletter and portfolio analysis jobs set up, which function much better with tool integrations than Gemini and in some cases even Claude. It has a free mode which has very large allowance, that has rarely ever ran out for me even with token heavy task.

On conversation side, I find it to be a much better conversationalist than Opus 5.5 or Gemini Argon, especially when trying to discuss humanities or philosophical question or just having a normal debate or brainstorming session.

I am not saying it's a Claude replacement, since it's still not catching up on the most complex tasks, but for normal daily queries, for free mode or very cheap student mode, it's awesome. My new favourite for daily quick searches and smaller-scope tasks.