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Magistral — the first reasoning model by Mistral AI

mistral.ai

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Re: Magistral — the first reasoning model by Mistral AI

#111
post #96

Earlier quoted context omitted.

And, perhaps most relevantly, the regulatory environment the people are working in. French people working in America are probably more productive than French people working in France (if for no other reason because they probably work more hours in America than France).

Most measures of productivity have "hours worked" in the denominator so that can't be right.

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Re: Magistral — the first reasoning model by Mistral AI

#112

Earlier quoted context omitted.

The cookie banners are corps trying to circumvent the rights and protections. If they actually went by the spirit of the protections, the cookie banners wouldn't be needed. Your ire is misdirected.

Are you sure? The ePrivacy Directive requires a (GDPR-level) consent for just placing the cookie, unless it's strictly necessary for the provision of the “service”. The way EU regulators interpret this, even web analytics falls outside the necessity exception and therefore requires consent. So as long as the user doesn't and/or is not able to automatically signal consent (or non-consent) eg via general browser-level…

Everyone I know of will try to click "reject all unnecessary cookies", and you don't need the dialog for the necessary ones. You can therefore simply remove the dialog and the tracking, simplifying your code and improving your users' experience. Can tracking the fraction which misclicks even give some useful data?

Re: Magistral — the first reasoning model by Mistral AI

#113
post #109

Earlier quoted context omitted.

are you really going to compare a 24B model to a 700B+ model?

24B is the size of the Small opensourced model. The Medium model is bigger (they don't seem to disclose its size) and still gets beaten by Deepseek R1

Mistral Large is 123b so one can probably assume that medium is between 24b and 123b, also Mistral 3.1 is by a wide margin my go-to model in real life situations. Benchmarks absolutely don't tell the whole story, and different models have different use cases.

Re: Magistral — the first reasoning model by Mistral AI

#114
post #110

Earlier quoted context omitted.

It gets pretty tiresome when people automatically take something as pro-US jingoism without stopping to think for a second about what they're saying. The model they're comparing to is Chinese , not American. How can you possibly construe OP's comment as pro-US? EDIT: The comment below got flagged to death, so I'm going to link my evidence up here for visibility: https://news.ycombinator.com/item?id=44238841 Not only…

[flagged]

Are we looking at the same account? There's not a lot of data there, as is the nature of a new account, but from where I'm sitting I'd guess they're based in Portugal or if not there specifically then at least on mainland Europe.

Out of 5 comments:

* This one is saying that Europe's biggest AI company isn't keeping up with China.

* Two comments are talking about Europe needing to become more independent from American tech companies.

* A fourth is talking about ElevenLabs's Portuguese support and noting that one of the Portuguese voices has a Spanish accent.

* The fifth is unrelated to geography or language.

I'm not sure where in this you get that they have a US-centric perspective. The only comments they have that mention the US at all are taking the very distinctly 2025-European tack of advocating for increased independence from America. Coupled with this one contrasting with Chinese tech that presents a pretty unified picture of someone who has a lot of interest in Europe having its own strong tech independent from the rest of the world.

The ElevenLabs comment is the most telling for me for pinpointing the geography: in order to know what Portuguese spoken with a Spanish accent sounds like you really have to have spent a significant amount of time in Iberia and most likely speak Portuguese as a native language.

Re: Magistral — the first reasoning model by Mistral AI

#115
post #19

The featured accuracy benchmarks exclude every model that matter except DeepSeek, which is quite telling about this new model's performance. This makes it yet another example of European companies building great products but fumbling marketing. Mistral's edge is speed. It's a real pleasure to use because it answers in ~1s what takes other models 5-8s, which makes for a much better experience. But instead of focusing…

How would you use a fast AI? My current use of AI is to generate code - or translate some code from a programming language to another - which I can then improve (instead of writing it from stratch). Speed isn't necessary for this. It's a nice-to-have but only if it's not at the cost of quality. Also, as unfair as it "might" be, we do expect a fast AI not to be as good, don't we? So I wouldn't focus on that in the mar…

analyzing and modifying a user interface in realtime?

Re: Magistral — the first reasoning model by Mistral AI

#116
post #21
post #11

Benchmarks suggest this model loses to Deepseek-R1 in every one-shot comparison. Considering they were likely not even pitting it against the newer R1 version (no mention of that in the article) and at more than double the cost, this looks like the best AI company in the EU is struggling to keep up with the state-of-the-art.

Europe isn't going to catch up in tech as long as its market is open to US tech giants. Tech doesn't have marginal costs, so you want to have one of it in one place and sell it everywhere and when the infra and talent is already in US, EU tech is destined to do niche products. UK has a bit of it, France has some and that's it. The only viable alternatives are countries who have issues with US and that is China and Ru…

It's mostly about money. DeepMind was founded in the UK, and is still based in London, but there was no way it could get the funding it needed without selling to Google or some other US company. China is one of the few other countries that can afford to fund that kind of thing.

Re: Magistral — the first reasoning model by Mistral AI

#117
post #68

The only mention of tools I could find is this: > it significantly improves project planning, backend architecture, frontend design, and data engineering through sequenced, multi-step actions involving external tools or API. I'm guessing this means it was trained with tool calling? And if so, does that mean it does tool calling within the thinking/reasoning, or within the main text? Seems unclear

Tool calling isn't enabled in the official Magistral Small GGUF (or the Ollama one) which is sad. Hope they (or someone else) fix that soon.

Re: Magistral — the first reasoning model by Mistral AI

#118
post #30

Is the number of em-dashes in this marketing copy indicative of the kind of output that the model produces? If so, might want to tone it down a bit.

it's bizarre.

the first sentence is "Announcing Magistral — the first reasoning model by Mistral AI — excelling in domain-specific, transparent, and multilingual reasoning." and those should clearly be comma

and this sentence is just flat out wrong "Lack of specialized depth needed for domain-specific problems, limited transparency, and inconsistent reasoning in the desired language — are just some of the known limitations of early thinking models."

Re: Magistral — the first reasoning model by Mistral AI

#120
post #96

Earlier quoted context omitted.

Most measures of productivity have "hours worked" in the denominator so that can't be right.

If I work 1000 hours and you work 2000 hours in the same timeframe, but you outcompeted me and created 3x value, you are 1.5 times more productive. There's a numerator too.

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