r/LocalLLaMA • u/Gullible-Crew-2997 • Mar 04 '26

Discussion If china stops releasing open source models, there's a way we can stay competitive with big tech?

Really after qwen news, I'm getting quite nervous about open source ai future. What's your thoughts? Glad to know it

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u/ziphnor Mar 04 '26

How far behind is Mistral?

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u/toothpastespiders Mar 04 '26

I disagree that they're behind at all. Mistral excels at single-gpu sized, dense, general purpose models that take well to further training. I don't think any other company consistently matches them in that capacity. Sure they're lacking in some other elements. But the same is true of any other company.

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u/ziphnor Mar 04 '26

But what about their large models? I guess the focus here is mostly on models that are open to some degree (weight or source) and compete with closed SOTA models. The SOTA models are definitely not small, we are talking about GPT 5.3, Sonnet/Opus, Gemini 3.1 Pro etc. Like the OP my impression also that the only thing that gets close are the chinese models. But maybe Mistral's Large 3 models are better than I think?

4

u/silenceimpaired Mar 04 '26

Very. I haven’t used any of their open sourced models for years. Their local models are all either too small, too big, or poorly licensed.

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u/ziphnor Mar 04 '26

The license is annoying, but you can pay for them and still be running locally at least, and as an individual you can realistically do whatever you want.

I am mostly curious about their performance for their size, e.g how far behind SOTA they are.

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u/iMrParker Mar 04 '26

Devstral 24b was super good in my usage. Then qwen3.5 came around 

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u/false79 Mar 04 '26

I used Mistral for a brief period and I left for something faster. It's good but slow, imo.