GLM-5.2 is now available in Vibe Code for Pro, Team and Enterprise users.

• Hosted and served by Mistral AI in the EU.
• Generous usage limits.
• We see it as particularly strong on long-horizon agentic coding tasks.
• Available with up to 800k tokens of context in Vibe Code.

Install the Vibe CLI and try it out
https://docs.mistral.ai/getting-started/quickstarts/vibe-code/install-cli#step-1

Developers - let us know what you think.

Just that simple. I feel like Mistral is using a different model this week through the work section. It just gives really comprehensive answers, whereas in the past it was way simpler, but also it's using more tools. Furthermer, I haven't spotted any mistakes like I've been getting in the past. Are you experiencing the same, or is it just me?

I've been using Mistral for hobby projects, and I'm amazed at how much you can accomplish for free.

There are quotas, of course, but they appear to be quite generous in terms of development and experimentation. You can test the API, perform OCR on documents, experiment with classification or extraction workflows, and prototype features without having to worry about costs.

I wouldn't use the free tier for a production app, but it's perfect for learning and building side projects.

What do you use Mistral for, and have you already reached the free-tier limits?

PowerPoint files creation in Vibe is still not available.
And the presentation generation capabilities of Vibe are still very basic even in Work mode.
It would be nice to improve this as it’s a feature very much used in companies in Claude.
What are your opinions on this issue ?

Hi all so just curious what is the benefits of mistral pro vs something like opencode go ? Saw glm 5.2 was released which makes me curious if its worth it also zdr policy?

Hardware:

i5-7400

b250 mining expert

16gb ddr4

3x 1000w psu

2x p6000 24gb = 48gb

2x p4000 8gb = 16gb

2x gtx1080 8gb = 16gb

1x p100 12gb = 12gb

Total vram = 92gb

Been experimenting with a lot of models.

Here is the mistral family stats.

Mistral Medium 3.5: iq4_nl

prefill: 150t/s >>> down to 30 t/s beyond 60k context (limit is 90k otherwise end up in OOM)

decode: ~3t/s always consistent

Mistral Small 4: ud-iq4_nl

prefill: 700t/s >>> down to 400 t/s beyond 100k

decode: ~20t/s always consistent

On est le 01 septembre. Ça me rend fou de voir que c'est toujours pas réglé cette histoire. 🫪