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Mistral releases Devstral2 and Mistral Vibe CLI

mistral.ai

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Re: Mistral releases Devstral2 and Mistral Vibe CLI

#151
post #33

llm install llm-mistral llm mistral refresh llm -m mistral/devstral-2512 "Generate an SVG of a pelican riding a bicycle" https://tools.simonwillison.net/svg-render#%3Csvg%20xmlns%3D... Pretty good for a 123B model! (That said I'm not 100% certain I guessed the correct model ID, I asked Mistral here: https://x.com/simonw/status/1998435424847675429 )

Where did you get llm tool from?!

He made it: https://github.com/simonw/llm

Re: Mistral releases Devstral2 and Mistral Vibe CLI

#153
post #17

Less than a year behind the SOTA, faster, and cheaper. I think Mistral is mounting a good recovery. I would not use it yet since it is not the best along any dimension that matters to me (I'm not EU-bound) but it is catching up. I think its closed source competitors are Haiku 4.5 and Gemini 3 Pro Fast (TBA) and whatever ridiculously-named light model OpenAI offers today (GPT 5.1 Codex Max Extra High Fast?)

No this is comparable to Deepseek-v3.2 even on their highlight task, with significantly worse general ability. And it's priced 5x of that.

It's open source; the price is up to the provider, and I do not see any on openrouter yet. ̶G̶i̶v̶e̶n̶ ̶t̶h̶a̶t̶ ̶d̶e̶v̶s̶t̶r̶a̶l̶ ̶i̶s̶ ̶m̶u̶c̶h̶ ̶s̶m̶a̶l̶l̶e̶r̶,̶ ̶I̶ ̶c̶a̶n̶ ̶n̶o̶t̶ ̶i̶m̶a̶g̶i̶n̶e̶ ̶i̶t̶ ̶w̶i̶l̶l̶ ̶b̶e̶ ̶m̶o̶r̶e̶ ̶e̶x̶p̶e̶n̶s̶i̶v̶e̶,̶ ̶l̶e̶t̶ ̶a̶l̶o̶n̶e̶ ̶5̶x̶.̶ ̶I̶f̶ ̶a̶n̶y̶t̶h̶i̶n̶g̶ ̶D̶e̶e̶p̶S̶e̶e̶k̶ ̶w̶i̶l̶l̶ ̶b̶e̶ ̶5̶x̶ ̶t̶h̶e̶ ̶c̶o̶s̶t̶.̶

edit: Mea culpa. I missed the active vs dense difference.

Re: Mistral releases Devstral2 and Mistral Vibe CLI

#154

Earlier quoted context omitted.

Good job missing the point. Though given the stance you are taking in this conversation, I'm not surprised you want to quibble over that. ¯\_(ツ)_/¯

ultimately you have to imbue words with meaning, otherwise it is impossible to have a discussion. what i said about no true scotsman was false, i was just trying to prove a point.

What point were you proving?

Re: Mistral releases Devstral2 and Mistral Vibe CLI

#155

Earlier quoted context omitted.

That's fine, but I don't think you should call it open source or call it MIT or even 'modified MIT.' Call it Mistral license or something along those lines

imo this is a hill people need to stop dying on. Open source means "I can see the source" to most of the world. Wishing it meant "very permissively licensed" to everyone is a lost cause. And honestly it wasn't a good hill to begin with: if what you are talking about is the license, call it "open license". The source code is out in the open, so it is "open source". This is why the purists have lost ground to practical…

I don't think you get access to source in this case. The release is a binary blob.

Re: Mistral releases Devstral2 and Mistral Vibe CLI

#157
post #147

Earlier quoted context omitted.

Condescending and disrespectful to whom? Everybody wholsale? This doesnt seem reasonable? Please elaborate.

No, when did I say that?

It isn't clear what you said.

You asserted a pattern of conduct on the user simonw:

> I think constantly replying to everybody with some link which doesn't address their concerns

Then claimed that conduct was:

> condescending and disrespectful.

I am asking you to elaborate to whom simonw is condescending and disrespecting. I don't see how it follows.

Re: Mistral releases Devstral2 and Mistral Vibe CLI

#158

Earlier quoted context omitted.

No, according to the commonly accepted definition of open-source. Whenever anybody tries to claim that a non-commercial licenses is open-source, it always gets complaints that it is not open-source. This particular word hasn’t been watered down by misuse like so many others. There is no commonly-accepted definition of open-source that allows commercial restrictions. You do not get to make up your own meaning for word…

Where are you getting this compendium of commonly-accepted definitions? Looking up open-source in the dictionary does include definitions that would allow for commercial restrictions, depending on how you define "free" (a matter that is most certainly up for debate).

"Open-source" isn't a term that emerged organically from conversations between people. It is a term that was very deliberately coined for a specific purpose, defined into existence by an authority. It's a term of art, and its exact definition is available here: https://opensource.org/osd

The term "open-source" exists for the purposes of a particular movement. If you are "for" the misuse and abuse of the term, you not only aren't part of that movement, but you are ignorant about it and fail to understand it— which means you frankly have no place speaking about the meanings of its terminology.

Re: Mistral releases Devstral2 and Mistral Vibe CLI

#159
post #40
post #29

Earlier quoted context omitted.

If you’re letting Claude write code you’re vibe coding

So people have different definitions of the word, but originally Vibe Coding meant "don't even look at the code". If you're actually making sure it's legit, it's not vibe coding anymore. It's just... Backseat Coding? ;) There's a level below that I call Power Coding (like power armor) where you're using a very fast model interactively to make many very small edits. So you're still doing the conceptual work of program…

Peer coding?

Maybe common usage is shifting, but Karpathy's "vibe coding" was definitely meant to be a never look at the code, just feel the AI vibes thing.

Re: Mistral releases Devstral2 and Mistral Vibe CLI

#160

Let's say you had a hardware budget of $5,000. What machine would you buy or build to run Devstral Small 2? The HuggingFace page claims it can run on a Mac with 32 GB of memory or an RTX 4090. What kind of tokens per second would you get on each? What about DGX Spark? What about RTX 5090 or Pro series? What about external GPUs on Oculink with a mini PC?

All those choices seem to have very different trade-offs? I hate $5,000 as a budget - not enough to launch you into higher-VRAM RTX Pro cards, too much (for me personally) to just spend on a "learning/experimental" system.

I've personally decided to just rent systems with GPUs from a cloud provider and setup SSH tunnels to my local system. I mean, if I was doing some more HPC/numerical programming (say, similarity search on GPUs :-) ), I could see just taking the hit and spending $15,000 on a workstation with an RTX Pro 6000.

For grins:

Max t/s for this and smaller models? RTX 5090 system. Barely squeezing in for $5,000 today and given ram prices, maybe not actually possible tomorrow.

Max CUDA compatibility, slower t/s? DGX Spark.

Ok with slower t/s, don't care so much about CUDA, and want to run larger models? Strix Halo system with 128gb unified memory, order a framework desktop.

Prefer Macs, might run larger models? M3 Ultra with memory maxed out. Better memory bandwidth speed, mac users seem to be quite happy running locally for just messing around.

You'll probably find better answers heading off to https://www.reddit.com/r/LocalLLaMA/ for actual benchmarks.

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