Qwen3 Next and Qwen3-30b-a3b are pretty decent proxies for GPT-OSS 120B and 20B respectively (and in fact are both MoEs with 3B active rather than 8B active parameters), and they lap GPT-OSS pretty hard in this specific benchmark, getting to #17 and #33 respectively. That being said, it's hard to take benchmarks beyond a grain of salt because real world tasks that I try to use these models for always have a lot more variation than the benchmarks illustrate. I do view GPT-OSS as a pretty good alternative to the Qwen models in some cases but there are tradeoffs -- while I see better reasoning from GPT-OSS sometimes, the prompt adherence and overall flexibility of the Qwen models makes them a lot better IMO as general purpose local open weight models.