There are so models that beats all of Mistral models, plus you can run many of them locally. Why would anyone run Mistral?

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villish an hour ago | parent | next [-]

To have at least a choice of using a European trained model. Downloadable weights is not open source. Mistral is able to respond to any regulatory queries about training data and concerns.

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jnurmine an hour ago | parent | prev | next [-]

To be honest, I have a hard time noticing differences with Claude (in Kiro) and Mistral Vibe, at least with what I use them for. They simply feel like talking to the exact same thing.

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perks_12 an hour ago | parent | prev | next [-]

The OCR stuff is quite usable. Their models perform good at some very basic tasks, so I use them to diversify. But their current model lineup is really terrible.

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KPGv2 an hour ago | parent | prev [-]

Possibly because Mistral is a French-based company, so EU companies can cut the American umbilical cord a bit more.

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A_D_E_P_T an hour ago | parent [-]

EU companies can download GLM or Kimi-K3 and get way better performance, though? I don't see any case for using a Mistral model when much better open models exist.

	▲	brendoelfrendo 35 minutes ago \| parent [-]
		Because not everyone has the infrastructure to run that with better performance? Anyway, Mistral serves GLM 5.2 through their global and European endpoints, so if you wanted to leverage their services and use a more powerful open model, that seems to be an option.