Audience
Developers, researchers, and AI teams seeking to run or study an efficient multimodal open-weight model with long-context reasoning, coding, multilingual, and agentic capabilities
About Qwen3.8-Flash-Next
Qwen3.8-Flash-Next is an open-weight multimodal Mixture-of-Experts model and an early preview of the architecture planned for Qwen4. It systematically upgrades attention, residual connections, embeddings, and optimization to improve capability, computational efficiency, model capacity, and training stability. Its hybrid architecture combines Gated DeltaNet, which efficiently compresses historical information, with Qwen Sparse Attention, which selects important context at the micro-block level to reduce attention and indexing costs on long sequences. Gated Residual widens the residual stream into four branches and dynamically controls information flow across layers, while N-gram Embedding adds large-scale local-pattern memory with very little extra per-token computation and can be offloaded to host memory. The model uses a 125B-parameter main network plus 51B N-gram embedding parameters, while activating only 6B parameters per token.
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Pricing
Starting Price:
$2 per 1M (input)
Company Information
Alibaba
Founded: 1999
China
qwen.ai/blog
Videos and Screen Captures
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Product Details
Platforms Supported
Cloud
Training
Documentation
Support
Online
Qwen3.8-Flash-Next Frequently Asked Questions
Q: What kinds of users and organization types does Qwen3.8-Flash-Next work with?
Qwen3.8-Flash-Next works with these users and organization types: Mid Size Business, Small Business, Enterprise, Freelance, Nonprofit, Government, and Startup.
Q: What languages does Qwen3.8-Flash-Next support in their product?
Qwen3.8-Flash-Next supports these languages: English.
Q: What kind of support options does Qwen3.8-Flash-Next offer?
Qwen3.8-Flash-Next offers support via online.
Q: What other applications or services does Qwen3.8-Flash-Next integrate with?
Qwen3.8-Flash-Next integrates with: Alibaba Cloud Model Studio, Alibaba Cloud, Cherry Studio, Cline, ClinePass, Happy Shrimp 1.0, Hermes Agent, Hugging Face, Model Context Protocol (MCP), ModelScope, Novita AI, Odysseus, OfoxAI, Ollama, OpenClaw, Python, Qwen Studio, QwenCloud, Qwen Code, Qwen, and QwenWork.
Q: Does Qwen3.8-Flash-Next have an API?
Yes, Qwen3.8-Flash-Next has an API.
Q: What type of training does Qwen3.8-Flash-Next provide?
Qwen3.8-Flash-Next provides training in the form of documentation.
Q: How much does Qwen3.8-Flash-Next cost?
Pricing for Qwen3.8-Flash-Next starts at $2 per 1M (input).
