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Alibaba Qwen

中国中国

阿里巴巴自主训练的开源模型系列,是开源模型阵营中最广为使用的名字之一。其代表模型是2026年8月发布的270亿参数开放权重模型Qwen3.8,支持多模态输入。同月,该模型在Hugging Face本地推理模型排行榜上名列前茅。在2026年8月有关Anthropic首次公开募股的报道中,投资者追问中国AI模型带来的影响时也提到了Qwen。

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Alibaba Qwen · 相关文章

Alibaba Qwen · 最新发布

  1. 657Qwen3.8-Flash-Next: A New Architecture, Towards Ultimate Cost-Efficiency2026-08-26
  2. 10,906Meet Qwen3.8-Flash, a multimodal MoE and an early preview of the Qwen4 architecture, now open-weight!2026-08-26
  3. 2,345큐원3.8-맥스, 0902 업데이트로 코딩·협업 강화기사2026-09-02
  4. 2,208125B/6B, 1M context, multimodal, now in OpenCode Go. Happy coding with Qwen3.8-Flash!2026-08-28
  5. 1,716Come build with Qwen🫴🫴2026-09-03
  6. 1,643#1 on CodeArena: WebDev leaderboard.2026-09-02
  7. 1,442Fast meets open. 🚀 Qwen3.8-27B is now running on @cerebras with rapid inference. Try it now!영상2026-09-12
  8. 1,325A high-performance 125B model now running locally on just 75GB RAM! Thank you @UnslothAI for the day-0 support.2026-08-26
  9. 916#1 overall on Code Arena, and top of the Pareto frontier at $5/MToken. Thanks! @arena2026-09-02
  10. 821#1 among open models in the Image-to-WebDev Arena, #7 overall. 🚀 Thanks for the recognition! @arena Just 27B parameters, on par with models 100x its size. Now, can you guess what surprise we're dropping tonight? 👀 https://t.co/4SwhyDfbvW2026-08-26
  11. 722알리바바 벤치마크서 오픈AI가 알리바바를 이겼다기사2026-09-03
  12. 522Thank you @NVIDIAAI for the day-0 support!2026-08-27
  13. 490Amazing! Thanks @vllm_project for getting Qwen3.8-Flash-Next running on NVIDIA and AMD from day 0.2026-08-26
  14. 451Qwen3.8-Flash is now live on @OpenRouter! Coding assistants, agentic workflows, long-video understanding, all one API call away.2026-08-27
  15. 424CommerceAgentBench starts with real commercial demand, and Qwen3.8-Max delivers the strongest overall performance among open-weight models. Let's test Qwen on your real-world workflows!2026-09-01
  16. 267API is live on QwenCloud: https://qwencloud.com/models/qwen3.8-flash…2026-08-26
  17. 238Qwen3.8-Flash on @qwen_cloud: $0.15/1M input tokens, $0.47/1M output tokens, and just $0.016/1M on cache hits. Come give it a try!2026-08-27
  18. 212Big thanks to @sgl_project for the day-0 support! Qwen3.8-Flash-Next is ready to deploy with SGLang today.2026-08-26
  19. 160Fantastic! Thanks @lightseekorg for the TokenSpeed day-0 support. The new architecture is fully covered, from GDN + QSA to N-gram embedding with FP8.2026-08-27
  20. 17Qwen/Qwen-Drive-1.0-4B · image-text-to-text2026-08-27