Alibaba releases 32.5B-parameter QwQ-32B-Preview under Apache 2.0 and claims the “reasoning” AI model beats OpenAI's o1-preview on the AIME and MATH tests
Introduction QwQ-32B-Preview is an experimental research model developed … Ananya Gairola / Benzinga : Alibaba's New AI Model Outperforms OpenAI's o1 In Specific Benchmarks, Now Available For Free Download Markus Kasanmascheff / WinBuzzer : Alibaba's QwQ-32B-Preview Joins AI Model Reasoning Battle With OpenAI The Economic Times : Alibaba releases QwQ-32B-Preview, an AI rival to OpenAI's o1 Simon Willison / Simon Willison's Weblog : QwQ: Reflect Deeply on the Boundaries of the Unknown. Brand new openly licensed (Apache 2) … Jonathan Kemper / The Decoder : Alibaba's QwQ model takes on OpenAI o1 with enhanced reasoning capabilities Grace Priscilla Teo / Tech in Asia : Alibaba's AI model tops OpenAI in reasoning tasks Asif Razzaq / MarkTechPost : Alibaba's Qwen Team Releases QwQ-32B-Preview: An Open Model Comprising 32 Billion Parameters Specifically Designed to Tackle Advanced Reasoning Tasks X: Julien Chaumond / @julien_c : Qwen QwQ switching to Chinese when it needs to _really think_ about something, then switching back to English, is pretty cool @Alibaba_Qwen [image] Binyuan Hui / @huybery : Sorry for for being captivated by the god of sleep last night. Now, I'm excited to share our open reasoning model, QwQ-32B-preview! This is an early version with many limits, but we're still really excited about it. 🥝What does it mean to think, to question, to understand? @jandotai : Run QwQ-32B-Preview in Jan No need to wait - @Alibaba_Qwen's QwQ-32B preview model is ready in 👋 Jan 1) Find the GGUF model in @huggingface 2) Hit Use this model button 3) Find 👋 Jan That's all it takes. [video] Rohan Paul / @rohanpaul_ai : Five SOTA LLMs attempt Kazakhstan's programming olympiad problems. R1-Lite from @deepseek_ai and QwQ from @Alibaba_Qwen 's numbers are unbelievable. And of course love the king here 01-mini. [image] @reach_vb : That's an Apache 2.0 licensed model competing with OpenAI o1 preview - the moat never existed! [image] Marc Andreessen / @pmarca : America and the West must win open source AI. @openrouterai : QwQ 32B, an open-source model comparable with o1-preview and Claude 3.5 Sonnet, is now live! Scores 50 on the AIME, compared to - 44.6 for o1-preview - 16 for 3.5 Sonnet 🙇 @Alibaba_Qwen [image] Brian Chau / @psychosort : Last week, @Alibaba_Qwen launched what promises to be the best open source code model. Here's what the future looks like if America falls behind China in open source 🧵 [image] Yuchen Jin / @yuchenj_uw : Happy Thankshipping! We @hyperbolic_labs now serve QwQ-32B-Preview released by @Alibaba_Qwen today in BF16! 🚤 > A reasoning model that is competitive with OpenAI o1-mini and o1-preview. > Integration with @OpenRouterAI coming soon. > It can answer the Strawberry question [image] @ollama : ollama run qwq 🤯 an experimental 32B model by the Qwen team that is competitive with o1-mini and o1-preview in some cases. https://ollama.com/... Note: This is the pronunciation of QwQ: /kwju:/ , similar to the word “quill” [image] Alex Volkov / @altryne : 🔥 First open source reasoning model from @Alibaba_Qwen just dropped! 😮 Qwen QwQ 32B is in preview, does reasoning like o1 and Deepseek R1 but y'know, on your local machine! 🔗 Demo: https://huggingface.co/... 🌐 Model: https://huggingface.co/... 📃 Blog: https://qwenlm.github.io/... [image] @anpaure : How does the new Qwen model compare to other LLMs on coding tasks? It's impressive, but rushed I ran it against other SOTA models on 6 competitive programming problems of varying difficulties. Here are the results! [image] Philipp Schmid / @_philschmid : First open-weights for @OpenAI-o1-like reasoning model! QwQ from the Qwen team is a 32B model that beats OpenAI O1 mini and competes w/ O1 preview and is available under Apache 2.0 on @huggingface! 🤯 TL;DR; 👨🔬 QwQ-32B-Preview is an experimental research 📊 65.2% on GPQA, 50.0% [image] Yam Peleg / @yampeleg : Qwen team somehow destroyed every single commercial model using 32B parameters Simon Willison / @simonw : qwq is a brand new openly licensed LLM from Alibaba Cloud's Qwen team in China. It's an open attempt at the OpenAI o1 “reasoning” trick that runs on my Mac (20GB download) via Ollama... and it's pretty good! Here's its attempt at drawing me an SVG pelican riding a bicycle [image] @reach_vb : WTF! Qwen COOKED - QwQ 32B beats o1 mini and competes with preview! [image] @maziyarpanahi : The QwQ model was released by @Alibaba_Qwen like 10 hours ago! An open model designed to advance AI reasoning capabilities. It has already 34 quantized and 2 fine-tune repositories on @huggingface! The local AI community moves quick!😅 [image] Nathan Lambert / @natolambert : Qwen's first o1 inspired model. Blog: https://qwenlm.github.io/... Model weights: https://huggingface.co/... [image] @alibaba_qwen : 🪶We're releasing a preview of QwQ /kwju:/ — an open model designed to advance AI reasoning capabilities. Blog: https://qwenlm.github.io/... Model: https://hf.co/... Demo: https://hf.co/... QwQ has preliminarily demonstrated remarkable capabilities, especially in [image] Victor M / @victormustar : Qwen releases QwQ-32B preview, an open weight reasoning model. It seems to be on par with o1-mini, but it's only 32B params 🤯 and inference will soon be x10 faster than o1 + it's only a preview of the model... This may be the turning point for Open AI: https://qwenlm.github.io/... [image] Junyang Lin / @justinlin610 : What does it mean to think, to question, to understand? Note: This is the pronunciation of QwQ: /kwju:/ , similar to the word “quill”. Blog: https://qwenlm.github.io/... Model: https://huggingface.co/... Demo: https://huggingface.co/... Something that can reason, making math problem [image] Victor M / @victormustar : lol Qwen Team writing is golden (from https://qwenlm.github.io/...) [image] Forums: Hacker News : QwQ: Alibaba's O1 Like Reasoning LLM r/mlscaling : QwQ: Reflect Deeply on the Boundaries of the Unknown r/singularity : Qwens new QwQ is changing the open source AI game! r/singularity : AliBaba releases new reasoning model: QwQ
Context & Ripple Effects
This is an early entry in Alibaba's documented Qwen release arc: the team later followed with a visual-reasoning QvQ preview and a full open-source QwQ-32B release that emphasized lower compute needs.
The immediate significance is not the benchmark claim alone, which remains Alibaba's claim, but that a reasoning-oriented model was made downloadable under a permissive license rather than available only through a hosted provider.
First-order effects
- Developers and researchers can download, test, modify, and deploy QwQ-32B-Preview under Apache 2.0, reducing access friction for experimentation with a 32.5B-parameter reasoning model.
- Alibaba gains a public comparison point against OpenAI's o1-preview on AIME and MATH, while users can independently evaluate whether those benchmark results translate to their workloads.
Second-order effects
- Open availability makes benchmark comparisons more contestable: model buyers can test a local or self-hosted alternative rather than relying solely on provider-reported reasoning performance.
- Competing model vendors face added pressure to differentiate through verified task performance, inference efficiency, tooling, or hosted-service reliability—not just access to a reasoning model.
Third-order effects
- If openly licensed reasoning models continue to close benchmark gaps, differentiation may shift from exclusive model access toward deployment, inference costs, integration, and support.
- The release is evidence of a broader split between proprietary frontier offerings and an expanding open-weight layer; its commercial significance depends on reproducible performance and practical operating costs.
The trend: Reasoning capability is becoming a contested open-weight category, shifting competitive value toward the economics and infrastructure around model deployment.