Qwen3-VL
qwen.ai
Qwen3-VL
1–10 of 166 posts
Re: Qwen3-VL
#2Re: Qwen3-VL
#3That has got to be the most benchmarks I've ever seen posted with an announcement. Kudos for not just cherrypicking a favorable set.
Re: Qwen3-VL
#4The 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
Re: Qwen3-VL
#5Cool! Pity they are not releasing a smaller A3B MoE model
Re: Qwen3-VL
#6China is winning the hearts of developers in this race so far. At least, they won mine already.
Re: Qwen3-VL
#7Thank 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!
Re: Qwen3-VL
#8The 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...
Re: Qwen3-VL
#9The 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
Most multi-modal input implementations suck, and a lot of them suck big time.
Doesn't seem to be far ahead of existing proprietary implementations. But it's still good that someone's willing to push that far and release the results. Getting multimodal input to work even this well is not at all easy.
Re: Qwen3-VL
#10Cool! Pity they are not releasing a smaller A3B MoE model
Their A3B Omni paper mentions that the Omni at that size outperformed the (unreleased I guess) VL. Edit: I see now that there is no Omni-235B-A22B; disregard the following. ~~Which is interesting - I'd have expected the larger model to have more weights to "waste" on additional modalities and thus for the opposite to be true (or for the VL to outperform in both cases, or for both to benefit from knowledge transfer).~~
Relevant comparison is on page 15: https://arxiv.org/abs/2509.17765