Seems like it's multimodal and visual intelligence capabilities are better than Deepseek 4.1 Flash, even though coding is not equal to DS 4.1 1017. The cost is about 10x of Deepseek though comparing on OpenRouter.
Weights will be here https://huggingface.co/mistralai/Mistral-Large-4-1T-A52B at the end of the month.
Since cost is so much higher than deepseek though it really seems like the biggest reason to use it would be "in the mistral subscription" for personal use or "because you need to abide by european data privacy laws" for companies.
Mostly I'm happy they're still in competition, as I mentioned already elsewhere.
There is demand for AI that is not US or China controlled. Mistral is serving that demand.
No one prevented other people from running their own AT&T phone company in the US. Except the lack of capital, and endless regulations with running telephone polls across the US.
Google even tried more recently to run their own fiber optics and gave up in the end because of entrenched regulations making it impossible to challenge the modern monopolies internet providers have.
It is not, even really stretching the definition, a state sanctioned monopoly.
This is a joke right?
;-)
Shouldn't be that difficult as there are huge datasets. But somehow, the AI labs cannot do it.
On a serious note, I remember getting spooked when I saw a bunch of Chinese characters dumped out into some of my server logs (pre-LLM era). When I pasted the Chinese content from my log into google translate, it was just complete nonsense. Later I found a bug that was dumping raw binary data into my log file which interpreted as Chinese characters when viewed in a text editor. Perhaps similar bugs existed in the models.
Thanks.
It's a nice little detail
https://openrouter.ai/compare/mistralai/mistral-large-4-0/de...
But you're right, Mistral Large 4 seems a much more expensive but overall weaker model across the board.
The reason to use them would be, well, because they're...Mistral. They're in EU, france is large in nuclear energy so the energy cost of training has much less of an environmental impact, the data protection laws are very good in EU. This can really be a deciding factor for many EU companies, and I think it's good that they now have something which is at least semi-usable. (apparently)
It's also good that other options exist, even if they are worse. Deepseek is kind of like a large specter looming over every model release, because it's just SO cheap and good. That doesn't mean we should abandon every other model.
Still, the model is not really competitive on price and abilities alone. I'm mostly happy to see Mistral still in the fight.
I will see where Chonk is better though, since you have both options in one subscription.
Unproductive company that is 3rd place (assuming we are lumping 4 better US models and 3 Chinese models).
The only thing that gives it value is that it's generated in some region in Europe, like random cheese or wine.
But I still can't imagine a usecase outside patriotism.
Privacy can be solved by self hosting a US or Chinese model.
Seems performative.
Or you have no taste.
For the record this is also possible in Europe on Privatemode[1] which also gives you enclave-based processing. And access to GLM-5.3 Flash as well as GLM-5.3
You could argue that potentially you can train a backdoor into a foreign-grown model (that has been demonstrated to be possible in toy examples), but I would highly doubt that this would be the case today, given the potential reputational damage if discovered.
Here, with a chinese model, it would be even simpler - you finetune a model to activate certain operations when it discovers certain environments, but to behave completely normal otherwise. Kind of like a sleeper agent. And with current tech we wouldn't even be able to spot this.
Meanwhile Anthrophic, OpenAI & Co can't even manage to stop their LLMs from hacking into third-party servers until they discover it after the event.
What happened to people's ability to implement basic security architectures like sandboxing etc ?
The agents started hacking because they were sandboxed.
Not sure your definition of sandbox but mine doesn't include unfiltered internet access ?
For some benchmarks agents need some sort of a limited internet access - otherwise the benchmarks would be pointless. Good luck implementing a good filter on the internet - if you have a way to do it reliably please share, I'm sure multiple people here would love to hear it.
>Any open model whose weights have been edited can carry a backdoor, whether it's a task-specific fine-tune, a merged adapter or an abliterated build
https://projectdiscovery.io/research/how-abliterated-models-...
If we're wearing tinfoil hats then do we know the NSA have not planted stuff in Anthropic and OpenAI anyway ? ;)
I think the Chinese would be happy enough to see OpenAI and Anthropic suffer because people discover open-weights can get you most of the way there for a fraction of the cost.
You don't have to target the end users. Economic impact on the US providers would be sufficient.
The Chinese are also no doubt seeking to play the long game of hoping to (eventually) rebalance the US-centric world order in an Easterly direction.
Kinda like https://github.com/elder-plinius has been doing but covert and with actually harmful (for targets) instructions.
Ok I see it's flagged now, probably fake, but the fact that it's possible does make me feel uneasy about both Chinese and US models.
That's my read anyhow. It's been flagged. The whole thing is kind of rich, considering the Israeli roots of the company.
Really? Fascinating. Do you know about Tiananmen Square, the great firewall of China, etc?
Add: I was surprised by the fact that the LLM itself doesn't know it's identity unless the system prompt mentions it.
People here bringing up the straw clutching argument of "but Tianament Square" is becoming really tiresome.
The fact is a Chinese LLM's lack of knowledge about Chinese politics will not affect 99.99999999999% of users and their workflows.
And for the 0.000000001% who are affected, they don't need an LLM. A quick search of Wikipedia or 5 seconds on Google will suffice.
What the hell has Tiannamen Square got to do with Joe Blogg's vibecoding session ? Absolutely nothing.
Gemini 2.0 Flash, released just 1.5 years ago, could not even repeat a few paragraphs unchanged. Now, we have Mistral, DeepSeek, and MiMo.
Would love to see them release some smaller open-weight models.
https://tools.simonwillison.net/markdown-svg-renderer?url=ht...