> Curious, why do you say the model is mediocre? I haven't tried it, so I can't pass any judgement.

It's nowhere mediocre.

It's toes-to-toes with GLM-5.3 which is one of the best Open Weight model available (With Kimi K3) for general reasoning.

I just runned it on code reviews right now and it was able to catch some thread safety issue than DeepSeek-4.1 didn't. And DeepSeek-4.1 is by no means a bad model.

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user43928 14 hours ago | parent [-]

It's better than I expected for Mistral.

That said, it hardly seems like the innovative underdog some comments here make it out to be.

GLM-5.3 and Kimi K3 released 2 and 3 months ago respectively.

For all I know anyone could train a model of similar performance by just applying already published research to a new large training run.

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adev_ 14 hours ago | parent [-]

> That said, it hardly seems like the innovative underdog some comments here make it out to be.

It's definitively not a revolution, but it is a major jump forward compared to Mistral Medium 3.5.

Worth to notice that they explicitly said they still refining the model, so we might expect something a little bit better at the end of the month

For something trained on a limited budget and 4000 GPUs, it is quite respectable.

	▲	user43928 11 hours ago \| parent [-]
		I'm just wondering if it's really the result of impressive innovation, in line with comments saying that Mistral might in the future beat a bankrupt OpenAI due to being more profitable or efficient. Or if it's more a situation where I could have Opus 5.5 go through recent papers from the Chinese labs to apply these to a new large training run, resulting in a model that performs similarly to Mistral Large 4. I honestly don't know.