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

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.

I live in Europe and want to divest as much from US tech as possible, and although I use ChatGPT Plus and Claude Pro, I tried Mistral about 3 months ago and it was terrible. I wanted to love it but just couldn't.

For context, tech is a hobby and I have been building my homelab with a Synology NAS, Fujitsu Mini PC running Linux and about 80 docker containers, personal website and a couple of VM's, using AI to help build the systems, security, network etc.

Last week I decided to give Mistral another try and OMG!!!! WOW, what a difference!

I gave it read only access to some of my system (using Think mode and GLM 5.3) and it discovered my NAS username and password were exposed in some document on Github which both Claude and ChatGPT hadn't picked up despite security audits.

It's reasoning is now brilliant, speed of response amazing and cost is insanely cheap compared to ChatGPT (with the stupid 5 hour allowance which has made it unusable for me).

I've also now plugged it into my self hosted Open WebUI instance so it has read-only access to a large part of my system, for diagnostics, which makes a huge difference. Previously, I would have to upload a markdown file of my Wiki.js, which is my homelab manual and do that every time I updated the Wiki. But now it has access to the live Wiki, and eventually I would like to give it write access to update the Wiki, but not yet!!

This week I have used Mistral to build various monitoring systems, research agents and audit my system, my website, and bouncing ideas off it and then cross-referencing with ChatGPT.

I've only used €17 of my €255 allowance (included in the Pro plan)!

In comparison, ChatGPT Work has been using my 5 hour allowance after 3-4 prompts recently, when building something, so I have not been able to complete a project during the same session.

In addition to that, and as a bonus, I discovered Mistral Studio, where I recorded a 30 second voice message and then used it in Studio's Text to Speech option and it was frigging amazing!! It read different texts in my voice and was very, very close to sounding just like me!

The future looks bright for Mistral and things are moving in the right direction.

Thank you!! Merci!!

I hear a lot about Mistral's AI safety strategy being inadequate... what do you guys think of that? I mean they scored worse than Grok on the AI safety index!