Qwen3.8-Flash-NextAlibaba
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Related Products
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About
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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About
Twigg is a context-management tool designed for long-term interactions with large language models that replaces linear chat threads with a visual, branching tree of conversation nodes, giving users control over what context is sent to the model. You can explore alternate directions by instantly creating new branches from any point, cutting or copying nodes, deleting or moving content to optimize the prompt context, and thus improve performance while managing complexity. The interface provides a dashboard tracking token usage per model and shows credit consumption transparently. By controlling context at the node level, Twigg helps reduce unnecessary tokens and supports the concurrency of ideas without cluttering your main workflow. Compatible with major models (via BYOK support) and designed for extended projects, Twigg essentially acts as “Git for LLMs”, enabling versioning, branching, and precise context management for conversational AI workflows.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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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
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Audience
Developers, researchers and AI teams interested in a solution to manage context, maintain clarity, and reduce token-waste
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
$2 per 1M (input)
Free Version
Free Trial
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Pricing
$6.66 per month
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationAlibaba
Founded: 1999
China
qwen.ai/blog
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Company InformationTwigg
Founded: 2025
United States
twigg.ai/
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Categories |
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Integrations
Alibaba Cloud
Alibaba Cloud Model Studio
ChatGPT
Claude Fable 5.1
Claude Mythos 5.1
Claude Opus 4.1
Claude Opus 4.5
Claude Opus 4.6
Claude Opus 4.7
Cline
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Integrations
Alibaba Cloud
Alibaba Cloud Model Studio
ChatGPT
Claude Fable 5.1
Claude Mythos 5.1
Claude Opus 4.1
Claude Opus 4.5
Claude Opus 4.6
Claude Opus 4.7
Cline
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