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Mistral 3 family of models released

mistral.ai

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Re: Mistral 3 family of models released

#51

Post by crimsoneer »

rvz wrote: post #47
mythz wrote: post #40

Europe's bright star has been quiet for a while, great to see them back and good to see them come back to Open Source light with Apache 2.0 licenses - they're too far from the SOTA pack that exclusive/proprietary models would work in their favor. Mistral had the best small models on consumer GPUs for a while, hopefully Ministral 14B lives up to their benchmarks.

All thanks to the US VCs that acutally have money to fund Mistral's entire business. Had they gone to the EU, Mistral would have gotten a miniscule grant from the EU to train their AI models.

I mean, one is a government, the other are VCs (also, I would be shocked if there isn't some French gov funding somewhere in the massive mistral pile).

Re: Mistral 3 family of models released

#52

Post by s_dev »

I was subscribing to these guys purely to support the EU tech scene. So I was on Pro for about 2 years while using ChatGPT and Claude.

Went to actually use it, got a message saying that I missed a payment 8 months previously and thus wasn't allowed to use Pro despite having paid for Pro for the previous 8 months. The lady I contacted in support simply told me to pay the outstanding balance. You would think if you missed a payment it would relate to simply that month that was missed not all subsequent months.

Utterly ridiculous that one missed payment can justify not providing the service (otherwise paid for in full) at all.

Basically if you find yourself in this situation you're actually better of deleting the account and resigning up again under a different email.

We really need to get our shit together in the EU on this sort of stuff, I was a paying customer purely out of sympathy but that sympathy dried up pretty quick with hostile customer service.

Re: Mistral 3 family of models released

#53

Post by jasonjmcghee »

I wish they showed how they compared to models larger/better and what the gap is, rather than only models they're better than.

Like how does 14B compare to Qwen30B-A3B?

(Which I think is a lot of people's goto or it's instruct/coding variant, from what I've seen in local model circles)

Re: Mistral 3 family of models released

#55

Post by simgt »

mirekrusin wrote: post #28
talliman wrote: post #13

Earlier quoted context omitted.

Until there is a sustainable, profitable and moat-building business model for generative AI, the competition is not to have the best proprietary model, but rather to raise the most VC money to be well positioned when that business model does arise. Releasing a near stat-of-the-art open model instanly catapults companies to a valuation of several billion dollars, making it possible raise money to acquire GPUs and trai…

Explained well in this documentary [0]. [0] https://www.youtube.com/watch?v=BzAdXyPYKQo

I was fully expecting that but it doesn't get old ;)

Re: Mistral 3 family of models released

#56

Post by constantcrying »

Lapel2742 wrote: post #43
constantcrying wrote: post #22

Earlier quoted context omitted.

Completely agree, that there are legitimate reasons to prefer comparison to e.g. deepeek models. But that doesn't change my point, we both agree that the comparisons would be extremely unfavorable.

> that the comparisons would be extremely unfavorable. Why should they compare apples to oranges? Ministral3 Large costs ~1/10th of Sonnet 4.5. They clearly target different users. If you want a coding assistant you probably wouldn't choose this model for various reasons. There is place for more than only the benchmark king.

Come on. Do you just not read posts at all?

Re: Mistral 3 family of models released

#57

Post by whiplash451 »

rvz wrote: post #47
mythz wrote: post #40

Europe's bright star has been quiet for a while, great to see them back and good to see them come back to Open Source light with Apache 2.0 licenses - they're too far from the SOTA pack that exclusive/proprietary models would work in their favor. Mistral had the best small models on consumer GPUs for a while, hopefully Ministral 14B lives up to their benchmarks.

All thanks to the US VCs that acutally have money to fund Mistral's entire business. Had they gone to the EU, Mistral would have gotten a miniscule grant from the EU to train their AI models.

1. so what 2. asml

Re: Mistral 3 family of models released

#58

Post by hopelite »

lalassu wrote: post #46

It's sad that they only compare to open weight models. I feel most users don't care much about OSS/not OSS. The value proposition is the quality of the generation for some use case. I guess it says a bit about the state of European AI

It seems to be a reasonable comparison since that is the primary/differentiating characteristic of the model. It’s really common to also and seemingly only ever see the comparison of closed weight/proprietary models in a way that seems to act as if all of the non-American and open weight models don’t even exist.

I also think most people do not consider open weights as OSS.

Re: Mistral 3 family of models released

#59

Post by apexalpha »

whiplash451 wrote: post #57
rvz wrote: post #47

Earlier quoted context omitted.

All thanks to the US VCs that acutally have money to fund Mistral's entire business. Had they gone to the EU, Mistral would have gotten a miniscule grant from the EU to train their AI models.

1. so what 2. asml

1. Big problem

2. ASML was propped up by ASM and Philips, stepping in as "VCs"

Re: Mistral 3 family of models released

#60

Post by metadat »

barrell wrote: 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…

Are you saying gpt-5 produces gibberish 15% of the time? Or are you comparing Mistral gibberish production rate to gpt-5.1's complex task failure rate?

Does Mistral even have a Tool Use model? That would be awesome to have a new coder entrant beyond OpenAI, Anthropic, Grok, and Qwen.

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