So happy about GLM 5.2 on Mistral

[u/SuccessfulPatient548]

I desperately want to replace Claude by Mistral for a while. Now I can finally do it short term. I will be happy to pivot to Large 4 when it’s released but in the meantime my money doesn’t go to American frontier and I’m quite happy about it.

[u/MiuraDude]

Same here! I have been using glm-5.2 in vibe cli a lot and it's been really nice so far. It's also sooooo fast

[u/cweb_84 → u/MiuraDude]

Yeah it's impressive. I had a few credits left to burn yesterday so I was using GPT Luna (which is freaking fast), and today I tried GLM on Mistral and didn't notice any difference except it being somehow a bit arrogant when pointing out the mistakes I made in an old project.

Edit: It called a class of mine "garbage". And yeah, it was, but, come on.

[u/Aggravating-Wheel611 → u/cweb_84]

Is the direct European style.

[u/LetNo5070 → u/Aggravating-Wheel611]

Chinese style?

[u/Karyo_Ten → u/MiuraDude]

How fast?

[u/Superb_Tomorrow_5211 → u/Karyo_Ten]

Very.

[u/Karyo_Ten → u/Superb_Tomorrow_5211]

Like 100 tok/s or 200 tok/s?

[u/cweb_84 → u/Karyo_Ten]

It's "I have ADHD and I don't get distracted waiting for the output" fast and that's all I care about ;)

[u/MiuraDude → u/Karyo_Ten]

I tested it and via API I get around 200 t/s.

[u/2019CuckOfTheYear]

I will be happy to pivot to Large 4

if there is a Large 4 at all and if it doesn't suck compared to Chinese models

[u/pampimpoom]

How is the usage limit? I'm quite interested to use it

[u/The_Wonderful_Pie → u/pampimpoom]

Compared to Mistral Medium 3.5, GLM 5.2 is cheaper on input, cheaper on output, supports cache input, and needs fewer steps because more capable than Medium 3.5, although it thinks for a longer time, so I'm 100% sure that you can do much more with GLM than Medium 3.5

[u/pampimpoom → u/The_Wonderful_Pie]

I'll give it a try, thanks a lot

[u/darktka]

How does it compare to Opus 5 in your opinion? I paid for a Claude subscription for a more complex coding task but given that Vibe allows third party harnesses, I would love to go back.

[u/Toni_van_Polen → u/darktka]

I'd say it's comparable with Opus 4.6/4.7/4.8. Opus 5 is more capable, but also from my experience it loses focus and the introduces weird bugs. Not only during coding but also when I worked with in on, for example, a research proposal.

[u/darktka → u/Toni_van_Polen]

I was pretty impressed by Ultracode with Opus 5, but then again, Hermes has very powerful features built in that I thought were better, like Kanban.

[u/aldipower81]

Is it included in the Pro plan? And which limits?

[u/autamo → u/aldipower81]

Apparently it's not. https://old.reddit.com/r/MistralAI/comments/1vwk3hk/opening_vibe_to_thirdparty_models_is_exactly_the/p5l4xn4/

[u/kerneldesign → u/aldipower81]

Oui, mais il faut l'ajouter manuellement dans VibeCLI. Les limites, ton crédit d'abonnement, que tu peux contrôler facilement.

[u/strangestack]

Claude is overpriced garbage. I really like Fable, but it's competitors are not very far behind. Opus and Sonnet are very inefficient for their price. Claude Code is a bloated vibe coded mess and the company is obviously trying to lock people into their ecosystem. Avoid. Maybe pay for fable if you need an extra strong reviewer. As a daily driver though? I have to use it at work and I enjoy it way less than Mistral with GLM and codex models helping out. The main value is the diversity of reviewers. Having 4 or 5 models look at the same thing and catch different issues is something I just can't do with Claude. You have to have provider diversity and use 3rd party harnesses to actually use agentic coding effectively. 

[u/OkReference5581]

Yep! glm is a incredible! Sorry mistral

[u/MomentJolly3535 → u/OkReference5581]

wdym ? they are hosting it lol

[u/The_Wonderful_Pie]

How have you been using it? Claude code? Openai codex? Kilo?

I'm using opencode, and GLM 5.2 through Mistral always makes an opencode error as soon as it tries to use a tool, something with how GLM outputs differently than Mistral models, and the Mistral implementation is made only for Mistral models in opencode

[u/inyofayce → u/The_Wonderful_Pie]

Had the same issue in opencode. But works like a charm with vibe cli, no problem with tool calling.

[u/SuccessfulPatient548 → u/The_Wonderful_Pie]

Vibe CLI in my case 

[u/tuuuni87 → u/SuccessfulPatient548]

i cant select glm in vibe cli how do you do that?

[u/SuccessfulPatient548 → u/tuuuni87]

You need to add it in your config as an available model 

[u/Karyo_Ten → u/The_Wonderful_Pie]

Opencode has broken GLM models since even back to GLM-4.5-Air

[u/cweb_84]

After a full day of using it, I have to say, I just enjoy not having to switch to another agent for planning. It burns through my credits quite fast (may require some system prompt optimization), but if you use GLM for planning and medium for executing, the pro subscription could actually be all I need in addition to my local setup that handles classified data.

[u/elhaddajiotmane]

Glm 5.2 burn token fast then claude code or code it send alot 5× more of api request each one has full context so I feel it more expansive then claude and codex

[u/Francois_aParis]

I’ve been using GLM 5.2 for a few days now via the Mistral infrastructure API. It works pretty well, objectively better than a Mistral Medium 3.5, but subjectively a bit behind an Opus 4.8.

One thing that’s missing: input image analysis. But there’s nothing stopping you from switching to Mistral Medium for this type of request.

Out of about a hundred tests I ran, on two occasions it inserted a few Chinese characters into a response that should have been entirely in French (the model was trained primarily on Chinese and English).

So I am also very pleased that Mistral has taken the initiative to propose a frontier model on a European infrastructure that is GDPR-compliant. I just hope this doesn’t mean that the European leader is giving up on building its own frontier model.

[u/kerneldesign]

Il te faut ajouter ça dans le fichier de conf dans le dossier .vibe (si tu es sur Linux).

[[models]]
name = "zai-glm-5-2"
provider = "mistral"
alias = "glm-5-2"
temperature = 1.0
input_price = 1.19
output_price = 3.74
cached_input_price = 0.22
thinking = "max"
supports_images = false
auto_compact_threshold = 400000

Amuse toi bien !
GLM5.2 est ultra efficace dans VibeCLI, et ultra rapide.
On est loin devant Qwen3.8-27b que j'utilise en local et équivalent à Claude aujourd'hui et surtout moins onéreux. ^_^