Models:

- https://huggingface.co/Qwen/Qwen3-VL-235B-A22B-Thinking

- https://huggingface.co/Qwen/Qwen3-VL-235B-A22B-Instruct

That has got to be the most benchmarks I've ever seen posted with an announcement. Kudos for not just cherrypicking a favorable set.

The biggest takeaway is that they claim SOTA for multi-modal stuff even ahead of proprietary models and still released it as open-weights. My first tests suggest this might actually be true, will continue testing. Wow

Cool! Pity they are not releasing a smaller A3B MoE model

China is winning the hearts of developers in this race so far. At least, they won mine already.

Thank you Qwen team for your generosity. I'm already using their thinking model to build some cool workflows that help boring tasks within my org.

https://openrouter.ai/qwen/qwen3-235b-a22b-thinking-2507

Now with this I will use it to identify and caption meal pictures and user pictures for other workflows. Very cool!

The Chinese are doing what they have been doing to the manufacturing industry as well. Take the core technology and just optimize, optimize, optimize for 10x the cost/efficiency. As simple as that. Super impressive. These models might be bechmaxxed but as another comment said, i see so many that it might as well be the most impressive benchmaxxing today, if not just a genuinely SOTA open source model. They even released a closed source 1 trillion parameter model today as well that is sitting on no3(!) on lm arena. EVen their 80gb model is 17th, gpt-oss 120b is 52nd https://qwen.ai/blog?id=241398b9cd6353de490b0f82806c7848c5d2...

The open source models are no longer catching up. They are leading now.

How does it compare to Omni?