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Mistral 3 family of models released

mistral.ai

111–120 of 243 posts

Re: Mistral 3 family of models released

#111
post #85

Anyone else find that despite Gemini performing best on benches, it's actually still far worse than ChatGPT and Claude? It seems to hallucinate nonsense far more frequently than any of the others. Feels like Google just bench maxes all day every day. As for Mistral, hopefully OSS can eat all of their lunch soon enough.

For noncoding tasks, Gemini atleast allows for easier grounding with Google Search.

Re: Mistral 3 family of models released

#113
post #85

Anyone else find that despite Gemini performing best on benches, it's actually still far worse than ChatGPT and Claude? It seems to hallucinate nonsense far more frequently than any of the others. Feels like Google just bench maxes all day every day. As for Mistral, hopefully OSS can eat all of their lunch soon enough.

My experience is the opposite although I don't use it to write code but to explore/learn about algorithms and various programming ideas. It's amazing. I am close to cancelling my ChatGPT subscription (I would only use Open Router if it had nicer GUI and dark mode anyway).

Re: Mistral 3 family of models released

#115
post #38

I use large language models in http://phrasing.app to format data I can retrieve in a consistent skimmable manner. I switched to mistral-3-medium-0525 a few months back after struggling to get gpt-5 to stop producing gibberish. It's been insanely fast, cheap, reliable, and follows formatting instructions to the letter. I was (and still am) super super impressed. Even if it does not hold up in benchmarks, it still out…

Thanks for sharing your use case of the mistral models, which are indeed top-notch ! I had a look at phrasing.app, and while a nice website, I found the copy of "Hand-crafted. Phrasing was designed & developed by humans, for humans." somewhat of a false virtue given your statements here of advanced lllm usage.

I don't see the contention. I do not use llms in the design, development, copywriting, marketing, blogging, or any other aspect of the crafting of the application.

I labor over every word, every button, every line of code, every blog post. I would say it is as hand-crafted as something digital can be.

Re: Mistral 3 family of models released

#116
post #74

Earlier quoted context omitted.

The lack of the comparison (which absolutely was done), tells you exactly what you need to know.

I think people from the US often aren't aware how many companies from the EU simply won't risk losing their data to the providers you have in mind, OpenAI, Anthropic and Google. They simply are no option at all. The company I work for for example, a mid-sized tech business, currently investigates their local hosting options for LLMs. So Mistral certainly will be an option, among the Qwen familiy and Deepseek. Mistral…

Mistral is founded by multiple Meta engineers, no?

Funded mostly by US VCs?

Hosted primarily on Azure?

Do you really have to go out of your way to start calling their competition "data leeches" for out-executing them?

Re: Mistral 3 family of models released

#117
post #85

Anyone else find that despite Gemini performing best on benches, it's actually still far worse than ChatGPT and Claude? It seems to hallucinate nonsense far more frequently than any of the others. Feels like Google just bench maxes all day every day. As for Mistral, hopefully OSS can eat all of their lunch soon enough.

I also had bad luck when I finally tried Gemini 3 in the gemini CLI coding tool. I am unclear if it's the model or their bad tooling/prompting. It had, as you said, hallucination problems, and it also had memory issues where it seemed to drop context between prompts here and there.

It's also slower than both Opus 4.5 and Sonnet.

Re: Mistral 3 family of models released

#118
post #65

Earlier quoted context omitted.

Thats not the point. Deepmind is not an UK company, its google aka US. Mistral is a real EU based company.

Using US VC dollars. Where their desks are isn’t really important.

Increasingly where the desks and servers are is critical.

The cloud act and the current US administration doing things like sanctioning the ICC demonstrate why the locations of those desks is important.

Re: Mistral 3 family of models released

#119
post #97
post #20

Earlier quoted context omitted.

Is it so hard for people to understand that Europe is a continent, EU is a federation of European countries, and the two are not the same?

Isn't London on an island, mr. Pedantic?

So I guess Japan isn't Asian then?

Re: Mistral 3 family of models released

#120
post #85

Anyone else find that despite Gemini performing best on benches, it's actually still far worse than ChatGPT and Claude? It seems to hallucinate nonsense far more frequently than any of the others. Feels like Google just bench maxes all day every day. As for Mistral, hopefully OSS can eat all of their lunch soon enough.

What does your comment have to do with the submission? What a weird non-sequitur. I even went looking at the linked article to see if it somehow compares with Gemini. It doesn't, and only relates to open models.

In prior posts you oddly attack "Palantir-partnered Anthropic" as well.

Are things that grim at OpenAI that this sort of FUD is necessary? I mean, I know they're doing the whole code red thing, but I guarantee that posting nonsense like this on HN isn't the way.

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