Command R

Command R

Cohere AI
Qwen3.8-27B

Qwen3.8-27B

Alibaba
+
+

Related Products

  • LM-Kit.NET
    29 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    999 Ratings
    Visit Website
  • Google AI Studio
    30 Ratings
    Visit Website
  • DriveStrike
    24 Ratings
    Visit Website
  • optivalue.ai
    4 Ratings
    Visit Website
  • ActCAD Software
    401 Ratings
    Visit Website
  • MyQ
    197 Ratings
    Visit Website
  • ContractSafe
    320 Ratings
    Visit Website
  • ChatD&B
    Visit Website
  • Daylight
    11 Ratings
    Visit Website

About

Command’s model outputs come with clear citations that mitigate the risk of hallucinations and enable the surfacing of additional context from the source materials. Command can write product descriptions, help draft emails, suggest example press releases, and much more. Ask Command multiple questions about a document to assign a category to the document, extract a piece of information, or answer a general question about the document. Where answering a few questions about a document can save you a few minutes, doing it for thousands of documents can save a company years. This family of scalable models balances high efficiency with strong accuracy to enable enterprises to move from proof of concept into production-grade AI.

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

Businesses looking for a platform that provides a highly scalable language model that balance high performance with strong accuracy

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

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

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

Cohere AI
Founded: 2019
Canada
cohere.com/command

Company Information

Alibaba
Founded: 1999
China
qwen.ai

Alternatives

Command A

Command A

Cohere AI

Alternatives

GLM-5.3

GLM-5.3

Z.ai
Command R+

Command R+

Cohere AI
Qwen3.8-Max

Qwen3.8-Max

Alibaba
Mistral Saba

Mistral Saba

Mistral AI
Qwen3.6

Qwen3.6

Alibaba
Kimi K2.5

Kimi K2.5

Moonshot AI
Qwen2

Qwen2

Alibaba

Categories

Categories

Integrations

Alibaba Cloud Model Studio
Cline
ClinePass
Cohere
Hermes Agent
Hugging Face
MindMac
Model Context Protocol (MCP)
ModelScope
Novita AI
Odysseus
OfoxAI
Ollama
OpenClaw
Python
Qwen Studio
QwenCloud
Symflower
Wordware
thisorthis.ai

Integrations

Alibaba Cloud Model Studio
Cline
ClinePass
Cohere
Hermes Agent
Hugging Face
MindMac
Model Context Protocol (MCP)
ModelScope
Novita AI
Odysseus
OfoxAI
Ollama
OpenClaw
Python
Qwen Studio
QwenCloud
Symflower
Wordware
thisorthis.ai
Claim Command R and update features and information
Claim Command R and update features and information
Claim Qwen3.8-27B and update features and information
Claim Qwen3.8-27B and update features and information