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[-] TorstenTyp@feddit.nu 2 points 16 hours ago

I’m curious as to why you say that? I use Le Chat and to me it feels exactly like ChatGPT or Claude, it can code well, translate, search online, everything.

[-] gerryflap@feddit.nl 1 points 12 hours ago

Personally I really struggle with it. I wanna use it because it's not from a US company, but it's just wrong in like 60% of whatever I ask it. Sometimes even when corrected. It's good though, makes me stop using the clanker and actually search for myself. Sometimes I do resort to ChatGPT or accidentally invoke Gemini when searching though, and those two have a way higher hit rate

[-] TorstenTyp@feddit.nu 3 points 10 hours ago

My two cents on the matter is that LLMs are incredibly useful, but I would never use it to that end. I never ask about facts or use it as a search engine. Sure, use it as a springboard if you don’t know where to start or what to search for, or maybe to find the right link to a website. But directly relying on it for information is risky, whatever the model. Maybe this is the reason our experiences seem to differ.

[-] placebo@lemmy.zip 2 points 15 hours ago

Subjectively, it feels similar to models we used a year or two ago. Not that drastically different from what Anthropic and OpenAI offer today, but slightly worse. For instance, for complex coding tasks it offers basic solutions, while Claude often offers more options and details - as if it knows more.

Objectively, benchmarks. Mistral looks comparable to other open weight models (as another user mentioned), but not as good otherwise.

[-] onnekas@sopuli.xyz 2 points 13 hours ago* (last edited 13 hours ago)

With the results of chat out of the box I kind of agree with you that mistral feels behind.

However, there are some features that I really like and make the experience even better than chatgpt.

  1. Agents are pretty cool and with some setup produce very good results
  2. managing libraries for documents/context is better than in ChatGPT. Also adding specific libraries to agents is nice.
  3. Scheduling tasks has just been added and I want to try that out.

(I have never tried the paid version of any LLM chat so I can only compare free tiers)

[-] TorstenTyp@feddit.nu 2 points 15 hours ago

I see, that’s about the time they all got so good that I stopped trying to keep up with the latest benchmarks. It works perfectly for my needs so I definitely wouldn’t dismiss it for anyone wanting to switch to a European alternative.

[-] placebo@lemmy.zip 2 points 14 hours ago

Sure, totally depends on your needs. But it'd be great if we had one of them frontier models in Europe.

[-] Jiral@lemmy.world 1 points 14 hours ago* (last edited 13 hours ago)

Mistral has recently shown a good trajectory of improvement. It is already an important thing that there is a European mid range open weight model that can compete. (Frontier models need a lot more resources, it is important to compare apples with apples) This is good enough for many applications were data security and sovereignity are prime concerns. Of course, it would be good to have a frontier model, lets see how Large 4 will perform when we get there.

this post was submitted on 17 Jun 2026
403 points (98.8% liked)

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