Qwen VLo: From “Understanding” the World to “Depicting” It

It doesn't seem to have open weights, which is unfortunate. One of Qwen's strengths historically has been their open-weights strategy, and it would have been great to have a true open-weights competitor to 4o's autoregressive image gen. There are so many interesting research directions that are only possible if we can get access to the weights.

If Qwen is concerned about recouping its development costs, I suggest looking at BFL's Flux Kontext Dev release from the other day as a model: let researchers and individuals get the weights for free and let startups pay for a reasonably-priced license for commercial use.

It's also very clearly trained on OAI outputs, which you can tell from the orange tint to the images[0]. Did they even attempt to come up with their own data?

So it is trained off OAI, as closed off as OAI and most importantly: worse than OAI. What a bizarre strategy to gate-keep this behind an API.

[0]

https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-VLo/cas...

https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-VLo/cas...

https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-VLo/cas...

The way they win is to be open. I don't get why China is shutting down open source. It was a knife at the jugular of US tech dominance.

Both Alibaba and Tencent championed open source (Qwen family of models, Hunyuan family of models), but now they've shut off the releases.

There's totally a play where models become loss-leader for SaaS/PaaS/IaaS and where they extinguish your closed competition.

Imagine spreading your model so widely then making the terms: "do not use in conjunction with closed source models".

The problem with giving away weights for free while also offering a hosted API is that once the weights are out there, anyone else can also offer it as a hosted API with similar operating costs, but only the releasing company had the initial capital outlay of training the model. So everyone else is more profitable! That's not a good business strategy.

New entrants may keep releasing weights as a marketing strategy to gain name recognition, but once they have established themselves (and investors start getting antsy about ROI) making subsequent releases closed is the logical next step.

That is also how open source works in other contexts. Initially closed source is dominant, then over time other market entrants use OSS solutions to break down the incumbent advantage.

In this case I'm expecting people with huge pools of capital (the big cloud providers) to push out open models because the weights are a commodity then people will rent their servers to multiply them together.