Experiment with Qwen3.8-Flash-Next on NVIDIA GB300 NVL72 for Agentic Coding
<img width="768" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-768x432.png" class="webfeedsFeaturedVisual wp-post-image" alt="Decorative image." style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" loading="lazy" srcset="https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-768x432.png 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-179x101.png 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-300x169.png 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-625x352.png 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-1536x864.png 1536w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-645x363.png 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-660x370.png 660w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-500x281.png 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-160x90.png 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-362x204.png 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-196x110.png 196w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-1024x576.png 1024w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-960x540.png 960w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen.webp 1920w" sizes="auto, (max-width: 768px) 100vw, 768px" title="Agentic-AI-Qwen" />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...<img width="768" height="432" src="https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-768x432.png" class="webfeedsFeaturedVisual wp-post-image" alt="Decorative image." style="display: block; margin-bottom: 5px; clear:both;max-width: 100%;" link_thumbnail="" decoding="async" loading="lazy" srcset="https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-768x432.png 768w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-179x101.png 179w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-300x169.png 300w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-625x352.png 625w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-1536x864.png 1536w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-645x363.png 645w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-660x370.png 660w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-500x281.png 500w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-160x90.png 160w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-362x204.png 362w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-196x110.png 196w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-1024x576.png 1024w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen-960x540.png 960w, https://developer-blogs.nvidia.com/wp-content/uploads/2026/08/Agentic-AI-Qwen.webp 1920w" sizes="auto, (max-width: 768px) 100vw, 768px" title="Agentic-AI-Qwen" /><p>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…</p>
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