barrell

I’m not sure it speaks so poorly on the company. I’m not sure whether they’re using GLM 5.3 or 5.3 flash. The former is twice the price (probably better results?) and the latter is a quarter the price.

If they don’t end up switching models by the end of the year, I think that says a lot about the models. If they’re just waiting for an appropriately large or small model, or waiting to get large 4 put through its paces before switching, I think that’s a pretty ego-less way to go about it, and could speak pretty highly in a way.

Mistral large 3/medium 3.5/small 4 have all been pretty dated for a while so if they just needed a stopgap, I could understand. Now that large 4 is out though, we will see if that was the case.

I didn’t know mistral started serving deepseek-flash 4.1! This is awesome. A little more expensive than most providers though. $0.03/$0.007/$1.20 on mistral vs deepseeks own peak pricing of $0.03/$0.006/$1.20 (vs deepseeks off peak pricing of $0.015/$0.003/$0.60).

I prefer using a European provider though so this is actually cheaper than I can find elsewhere.

I also found this odd. After mistral announced v4 preview, I just assumed it was what would be used in Le Chat. I gave it a try and was impressed.

Turns out they’re using GLM in le chat. Quite concerning if I’m being honest, and this is coming from a huge mistral fanboy.

I wish we could toggle mistral large 4 in le chat so I could get a feel for it.

Not sure it’s particularly odd. Several models of late have launched with an introductory promotional pricing, only to later lock in the promotional pricing.

Too many models now to remember specifics - I believe deepseek v4 did this and one of the gpt models (5? 5.1? 6?) did this if I recall correctly. I’m also fairly confident Google has had a few promotional periods on launch of the model, I seem to remember them starting the trend.

I’ve been using mistral-large-3 a tremendous amount. Price/speed/quality ratio was the best I could find. Been using the mistral-large-4 now since it came out for a few things, and while it’s not price competitive for the quality, it is really good. I’ve replaced a lot of my browser-based-chat-ui-llm-usage with mistral since it launched.

To me this implies they continued the training run for 4.1 and it improved. A 4.2 would imply they changed something about how it’s trained/how inference works, and a 5.0 would be a major update (who knows what would have changed).

This is just my headcanon though.

The letter counting issue is due to tokenization. And most models still get this wrong often enough, even with reasoning. Probably less so on strawberry given how prevalent it is, and less so than without reasoning, but this not a historical issue. It’s becoming less of one though.

That is the promotional price, after which it doubles :(

I have been waiting for the next generation of mistral models for so long now. They were supposed to come out this summer… I hope the delay is because they’re making something better, not just because they’ve fallen too far behind.

Mistral models were the best for my use case when they came out, but they’re mostly almost a year old now. Hard to keep justifying using them, especially with all the price cuts this year on other models.

> are you ready to just walk away

Many comments, but I'm surprised no one has mentioned the ease and quickness LLMs have to advise you to leave relationships. Doesn't matter the context, how little you tell them, or how close the person is, an LLM is always ready to drop them at the tip of a hat.

It's weird enough chatbots try to be your friend. Doubly weird that the search engine tries to be your friend. The downright dystopian part is how often they tell you to leave your real friends.

I agree artisan can be a bit pretentious, but calling someone an artisan != calling someone pretentious, whereas calling someone a craftsman (to some people) == calling someone blue collar, someone who works in the crafts/went to craft school.

“Unskilled” is quite literally in the definition of tinkerer. It explicitly implies a lack of mastery.

The first <sigh> does sound a lot like a moan. OP linked to the timestamp so I missed it when it first played. I was also confused but on second playback I heard the first <sigh> and also thought wtf.

I would not want that in my product.

Depends. If you’re using is disparagingly, then yes, it is a pejorative.

For example from the original analogy, if you told an entrepreneur that because they didn’t use AI, they were not an entrepreneur, but instead “unskilled” or a “beginner”, that would be disparaging; pejorative.