Ratings and Reviews 1 Rating

Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Alternatives to Consider

  • LTX Reviews & Ratings
    182 Ratings
    Company Website
  • Creatio Reviews & Ratings
    586 Ratings
    Company Website
  • Gemini Enterprise Agent Platform Reviews & Ratings
    999 Ratings
    Company Website
  • ND Wallet Reviews & Ratings
    14 Ratings
    Company Website
  • Google AI Studio Reviews & Ratings
    40 Ratings
    Company Website
  • Birdeye Reviews & Ratings
    5,192 Ratings
    Company Website
  • Planview AdaptiveWork Reviews & Ratings
    714 Ratings
    Company Website
  • RaimaDB Reviews & Ratings
    12 Ratings
    Company Website
  • AlsoThere Reviews & Ratings
    1 Rating
    Company Website
  • Cloverleaf Reviews & Ratings
    189 Ratings
    Company Website

What is Qwen3.8-27B?

Qwen3.8-27B is an open-weights 27B-class model connected to Alibaba’s Qwen3.8 release, built for developers, researchers, and AI teams that need a capable but more deployable model size. Alibaba’s Qwen3.8 launch described the broader model family as optimized for coding and cowork scenarios, including software development, document processing, data analysis, and professional workflows. Reports state that Alibaba planned to open-source Qwen3.8-Max alongside Qwen3.8-27B, expanding access for developers and researchers. Qwen3.8-27B gives builders a smaller alternative to the 2.4T-parameter Qwen3.8-Max model, which third-party coverage describes as Qwen’s first Max-scale model planned for open weights. The model is well suited for coding assistance, local development, agent testing, workflow automation, data analysis, document understanding, and private AI experimentation. QwenCloud documentation lists Qwen3.8-Max as supporting a 1M context window, thinking, function calling, built-in tools, and structured output, showing the broader Qwen3.8 generation’s focus on advanced agent and application workflows. Qwen3.8-27B is especially useful for teams that want Qwen-family capabilities without the infrastructure demands of Max-scale deployment. Community posts around the release point to active interest in Hugging Face, Unsloth GGUF, Ollama, and local inference use cases. Third-party coverage also notes practical hardware discussions around quantized Qwen3.8-27B deployment, including claims that 4-bit variants can fit more easily on consumer or workstation GPUs. The model can be positioned for organizations that need open AI infrastructure, coding agents, local model evaluation, private deployments, and cost-controlled experimentation. By combining open-weight access, a practical 27B model size, Qwen3.8-era performance ambitions, coding-oriented workflows, and local deployment interest, Qwen3.8-27B gives developers a flexible foundation for building AI products and agents.

What is Gopher?

Language serves as a fundamental tool in enhancing comprehension and enriching the human experience. It allows people to express their thoughts, share ideas, create memories that last, and build connections with others, fostering empathy in the process. These aspects are critical for social intelligence, which is why teams at DeepMind concentrate on various dimensions of language processing and communication among both humans and artificial intelligences. Within the broader context of AI research, we believe that improving language model capabilities—systems that predict and generate text—holds significant potential for developing advanced AI systems. Such systems are capable of summarizing information, providing expert opinions, and executing instructions using natural language in a way that feels intuitive. Nevertheless, the path to creating beneficial language models requires a careful examination of their potential impacts, including the challenges and risks they may pose to society. By gaining a deeper understanding of these issues, we can strive to leverage their advantages while effectively addressing any negative implications that may arise. Ultimately, this ongoing investigation will help ensure that the evolution of language technology aligns with our ethical and social values.

Media

Media

Integrations Supported

Alibaba Cloud
BERT
ChatGPT
Cline
ClinePass
GPT-4
Hugging Face
Llama
Llama 3.3
Model Context Protocol (MCP)
ModelScope
Odysseus
OfoxAI
OpenClaw
Python
Qwen Code
Qwen Studio
Stable LM
WeatherNext

Integrations Supported

Alibaba Cloud
BERT
ChatGPT
Cline
ClinePass
GPT-4
Hugging Face
Llama
Llama 3.3
Model Context Protocol (MCP)
ModelScope
Odysseus
OfoxAI
OpenClaw
Python
Qwen Code
Qwen Studio
Stable LM
WeatherNext

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Alibaba

Date Founded

1999

Company Location

China

Company Website

qwen.ai

Company Facts

Organization Name

Google DeepMind

Company Location

United States

Company Website

www.deepmind.com/blog/language-modelling-at-scale-gopher-ethical-considerations-and-retrieval

Categories and Features

Popular Alternatives

Popular Alternatives

Jurassic-1 Reviews & Ratings

Jurassic-1

AI21 Labs
GPT-6 Astra Reviews & Ratings

GPT-6 Astra

OpenAI
ESMFold Reviews & Ratings

ESMFold

Meta
Qwen3.6 Reviews & Ratings

Qwen3.6

Alibaba