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Alibaba Qwen3.8 launches with open weights and Day-0 inference on eight platforms.

Alibaba released Qwen3.8 with open weights for both the 27B dense model and 2.4T-A95B MoE variant. The 27B model outperforms Qwen3.7-Plus and supports 262K native context extendable to 1M via YaRN, licensed under Apache 2.0. Eight inference providers — SGLang, vLLM, DigitalOcean, Modal, Nebius, Fireworks, and Together AI — offered Day-0 deployment with the full 1M context window.

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CONTRIBUTING SOURCES
18 ARTICLES
  1. X (Twitter)3D AGO
    x.com/Alibaba_Qwen/status/2088251315256520943
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    x.com/Alibaba_Qwen/status/2088280182356611304
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    x.com/Alibaba_Qwen/status/2088285662223138851
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    x.com/Alibaba_Qwen/status/2088286022597832788
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    x.com/Alibaba_Qwen/status/2088286592431689909
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    x.com/Alibaba_Qwen/status/2088287553292312968
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    x.com/Alibaba_Qwen/status/2088288356337897550
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    x.com/Alibaba_Qwen/status/2088292188505755728
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    x.com/Alibaba_Qwen/status/2088293486995087461
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    x.com/Alibaba_Qwen/status/2088296583368781939
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    x.com/Alibaba_Qwen/status/2088299158465819110
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    x.com/Alibaba_Qwen/status/2088301611731009582
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    x.com/Alibaba_Qwen/status/2088307374767693844
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    x.com/Alibaba_Qwen/status/2088309262451904671
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    x.com/Alibaba_Qwen/status/2088320747639071143
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    x.com/Alibaba_Qwen/status/2088466210895823024
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    x.com/Alibaba_Qwen/status/2088467890467168751
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    x.com/Alibaba_Qwen/status/2088471287203246227
X DISCOURSE
219k TOTAL · TOP 3
@Alibaba_Qwen3H · 55.5K
Yes, we are back👑, with 206 tok/s on a single RTX 5090! Amazing Day-0 work from the SGLang team. Give it a try~@sgl_project
@Alibaba_Qwen7H · 54.7K
Yes, we are back👑, with 206 tok/s on a single RTX 5090! Amazing Day-0 work from the SGLang team. Give it a try~@sgl_project
@Alibaba_Qwen1D · 42.4K
Yes, we are back👑, with 206 tok/s on a single RTX 5090! Amazing Day-0 work from the SGLang team. Give it a try~@sgl_project