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Alibaba’s new open source Qwen3-235B-A22B-2507 beats Kimi-2 and offers low compute version
Teams can scale Qwen3’s capabilities to single-node GPU instances or local development machines, avoiding the need for massive GPU clusters.
Well, not only are its models powerful and score high on third-party benchmark tests at completing math, science, reasoning, and writing tasks, but for the most part, they’ve been released under permissive open source licensing terms, allowing organizations and enterprises to download them, customize them, run them, and generally use them for all variety of purposes, even commercial. The result is a model that adheres more closely to user instructions, generates more predictable responses, and, as benchmark data shows, improves significantly across multiple evaluation domains. Meanwhile, Jeff Boudier, head of product at Hugging Face, highlighted the deployment benefits: “Qwen silently released a massive improvement to Qwen3… it tops best open (Kimi K2, a 4x larger model) and closed (Claude Opus 4) LLMs on benchmarks.”
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