You are right, but this is just the first open-weights model of this family.
replyThey said that they will release several open-weights models, though there was an implication that they might not release the biggest models.
Given that DeepSeek, GLM, Kimi etc have all released large open weight models, I am personally grateful that Qwen fills the mid/small sized model gap even if they keep their largest models to themselves. The only other major player in the mid/small sized space at this point is pretty much only Gemma.
replyI'm totally fine with that, frankly. I'm blessed with 128GB of Unified Memory to run local models, but that's still tiny in comparison the larger frontier models. I'd much rather get a full array of small and medium sized models, and building useful things within the limits of smaller models is more interesting to me anyway.
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replyIt's a given that the dense models with comparable size are better. I also proved that in my use case for those two Qwen 3.5 models.
replyThe benchmarks show 3.6 is a bit better than 3.5. I should retry my task, but I don't have a lot of confidence. But it does sound like they worked on the right thing which is getting closer to the 27B performance.