Qwen3.8-27B

Qwen3.8-27B

Alibaba
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About

Our goal at Liquid is to build the most capable AI systems to solve problems at every scale, such that users can build, access, and control their AI solutions. This is to ensure that AI will be meaningfully, reliably, and efficiently integrated at all enterprises. Long term, Liquid will create and deploy frontier-AI-powered solutions that are available to everyone. We build white-box models within a white-box organization.

About

Qwen3.8-27B is a compact open-weights model in Alibaba’s Qwen3.8 family, aimed at developers and researchers who want strong local AI performance without using the full Max-scale model. Reports from Alibaba’s Qwen3.8 launch state that Qwen3.8-27B was planned for open-weight release alongside Qwen3.8-Max, expanding access for builders working on AI applications. The model is positioned for coding, research, professional workflows, and local deployment scenarios where a 27B model can be more practical than frontier-scale systems. Qwen3.8’s broader launch emphasizes software development, document processing, data analysis, and professional “cowork” use cases. Qwen3.8-27B is especially relevant for teams that need a capable open model for experimentation, coding agents, assistant workflows, and self-hosted inference. Built for practical deployment, Qwen3.8-27B gives developers a smaller Qwen3.8 option for building AI tools, testing agents, and running advanced language model workflows.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Anyone seeking a solution to build capable and efficient general-purpose AI systems at every scale

Audience

Software developers, AI researchers, coding agent builders, local LLM users, startup teams, enterprise AI teams, infrastructure teams, data teams, and organizations that need an open-weights 27B model for coding assistance, agent testing, self-hosted inference, document processing, data analysis, workflow automation, model benchmarking, private deployment, and Qwen-family experimentation

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5

Pros & Cons from Real Users

Pros

  • A 27B model is big enough to be useful for serious coding, reasoning, writing, and local-agent workflows, but still small enough that developers can realistically experiment with quantized versions on enthusiast hardware. That is the sweet spot for a lot of builders. Not everyone wants a massive cloud-only model, and not every workflow needs a 2T+ parameter system. A strong 27B model can be great for private coding help, local RAG, repo exploration, prompt testing, and lightweight agents. I also like the open-weight/local angle. Community reports around Qwen3.8-27B are already focused on GGUFs, MLX builds, VRAM needs, and local performance, which is exactly the kind of ecosystem momentum that makes a model useful beyond a demo.

Cons

  • The main downside is clarity. I would want a stable official model card, confirmed architecture details, benchmarks, license info, and serving recommendations before treating it as a production-ready model.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Liquid AI
Founded: 2023
United States
www.liquid.ai/

Company Information

Alibaba
Founded: 1999
China
qwen.ai

Alternatives

Alternatives

GLM-5.3

GLM-5.3

Z.ai
MiniMax M3

MiniMax M3

MiniMax
Qwen3.8-Max

Qwen3.8-Max

Alibaba
GLM-5

GLM-5

Z.ai
Qwen3.6

Qwen3.6

Alibaba
Claude Opus 5

Claude Opus 5

Anthropic
Qwen2

Qwen2

Alibaba

Categories

Categories

Integrations

Alibaba Cloud
Alibaba Cloud Model Studio
Apollo
Cline
ClinePass
Hermes Agent
Hugging Face
LEAP
Model Context Protocol (MCP)
ModelScope
Nativ
Novita AI
OfoxAI
OpenClaw
Python
Qwen
Qwen Code
Qwen Studio
QwenCloud
SF Compute

Integrations

Alibaba Cloud
Alibaba Cloud Model Studio
Apollo
Cline
ClinePass
Hermes Agent
Hugging Face
LEAP
Model Context Protocol (MCP)
ModelScope
Nativ
Novita AI
OfoxAI
OpenClaw
Python
Qwen
Qwen Code
Qwen Studio
QwenCloud
SF Compute
Claim Liquid AI and update features and information
Claim Liquid AI and update features and information
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Claim Qwen3.8-27B and update features and information