Discussion

• @_thomasip Thomas Ip on x

  First major model of 2026 and it's from Qwen! It's a chinese trillion+ parameters closed-source model that is SOTA on a few benchmarks. In particular it beats everyone by a wide margin on HLE (with search). All the US labs are dropping new models soon so the lead from Qwen will

• @justinlin610 Junyang Lin on x

  besides the capabilities mentioned in the tweet, i would like to invite you to play with the new thinking model on https://chat.qwen.ai/ . this time we level up the user experience by integrating search and code interpreter and memory in thinking. try to see if it is a better

• @casper_hansen_ Casper Hansen on x

  1T parameter model released by Qwen!! They finally compare to the best models available out there unlike the rest of open-weight providers Although it's released, unfortunately it's not open weights on Huggingface

• @_simonsmith Simon Smith on x

  New Qwen model significantly improves at Humanity's Last Exam with tool use and now appears to be SOTA here by a large margin? Main innovation driving this seems to be a non-parallel approach to test time scaling where the model avoids redundant thinking. On the surface the [imag…

• @alibaba_qwen @alibaba_qwen on x

  🚀 Introducing Qwen3-Max-Thinking, our most capable reasoning model yet. Trained with massive scale and advanced RL, it delivers strong performance across reasoning, knowledge, tool use, and agent capabilities. ✨ Key innovations: ✅ Adaptive tool-use: intelligently leverages [image…

• r/singularity r on reddit

  Qwen3-Max-Thinking

• r/LocalLLaMA r on reddit

  Pushing Qwen3-Max-Thinking Beyond its Limits