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Experiment with Qwen3.8-Flash-Next on NVIDIA GB300 NVL72 for Agentic Coding
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Michelle Horton

· 1 min read

EngineeringNVIDIA Technical Blog

Experiment with Qwen3.8-Flash-Next on NVIDIA GB300 NVL72 for Agentic Coding

Alibaba released the model weights for Qwen3.8-Flash-Next as a preview of the upcoming Qwen4 architecture for developers to experiment with and evaluate. It’s...

Alibaba released the model weights for Qwen3.8-Flash-Next as a preview of the upcoming Qwen4 architecture for developers to experiment with and evaluate. It’s a multimodal mixture-of-experts (MoE) model with a 125B-parameter main model supplemented by an additional 51B N-gram embeddings, with 6B parameters activated per token. It has a native 262,144-token context window, extensible to 1M tokens…

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This story was published by NVIDIA Technical Blog and written by Michelle Horton. SyncAI.news shows a preview; the complete article is on the publisher's site.

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