Can someone recommend a European company that hosts models like these so I can use them?
Cortecs.ai, I run Deepseek V4 Flash, Minimax M3, and GLM 5.2 from there. All hosted on European servers. You just add funds, and then use it until empty. No unexpected bill.
This looks promising ! I am currently paying 10$ / month for this other service that is basically a front-end for openrouter. Was searching to switch since :
- Don’t like the founder and his braindead push for LLM’s.
- Everything is hosted in the US.
- I have cut back on my LLM usage by a lot, to the point that I don’t think I spend 10$ worth of tokens. GPT 20B , Gemma 4 27B and DeepSeek v4 flash end up being like 90% of my usage and I try to use them sparingly, keep answers, conversations short.
I do wonder what to do about the frontend? My mentioned service has a pretty good web app with decent UI and it worked on mobile as well without much problems. I actually end up using LLM’s quite often on mobile as I read a lot on it.
you can self host librechat, or use their hosted front of you don’t want to bother but still prefer to use something open source
Mistral.
Well, this one will be a little bit, but Ollama hosts in Europe and has options for no data retention
sharing is caring No Ollama man
I’m mainly referring to their cloud offering if someone needs European hosted models
I don’t really pay attention beyond that given that basically every company in this industry is doing something stupid
They were talking about ollama cloud not ollama the application though
Euria is hosted by Infomaniak. I’m not sure they tell what model they use but given the few times I saw a random Chinese character in the output I’d guess it isn’t an American model.
They also have a pay per token model that you can hook up to everything, that one’s just quite expensive for normal chat use, but at least you select the model you want to use.
random Chinese character
It’s beneficial for reasoning to have models trained in a few languages. Chinese is a good one because one character is one word is one token.
Chinese being more token efficient is a myth, and seems to stem from the superficial fact that characters are only visually more space efficient.
The fact that each Chinese character takes up 3 bytes (as opposed to 1 byte of English), words in Chinese typically require compounds of several characters, and that tokenizers have a limited vocabulary limited to mostly English means that Chinese is actually token inefficient.
No, Chinese Is Not More Token-Efficient Than English for LLMs | markhuang.ai - https://markhuang.ai/blog/chinese-token-myth
I didn’t say it’s more token efficient. I said training multiple languages improves reasoning.
I use cortecs.ai, you can select different “levels” of data policy there like if you only want GDPR-compliant providers (its an ai-router like openrouter)
The coding skills are pretty meh relative to its size, but apparently its image processing skills are turning out to be top notch.
Interesting… Google’s Gemini, which similarly boasts strong multimodal capabilities, is also having problems being competitive on coding. Wonder if it’s just a coincidence.
Can this one field a support enquiry without making me want to throw my laptop in the river?
I use qwen for my sex bots.