Qwen3.6-27B

Qwen3.6-27B

Alibaba
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About

Nomic Embed is a suite of open source, high-performance embedding models designed for various applications, including multilingual text, multimodal content, and code. The ecosystem includes models like Nomic Embed Text v2, which utilizes a Mixture-of-Experts (MoE) architecture to support over 100 languages with efficient inference using 305M active parameters. Nomic Embed Text v1.5 offers variable embedding dimensions (64 to 768) through Matryoshka Representation Learning, enabling developers to balance performance and storage needs. For multimodal applications, Nomic Embed Vision v1.5 aligns with the text models to provide a unified latent space for text and image data, facilitating seamless multimodal search. Additionally, Nomic Embed Code delivers state-of-the-art performance on code embedding tasks across multiple programming languages.

About

Qwen3.6-27B is a dense, open source multimodal language model in the Qwen3.6 series, designed to deliver flagship-level performance in coding, reasoning, and agent-based workflows while maintaining a relatively efficient parameter size of 27 billion. It is positioned as a high-performance general model that “punches above its weight,” achieving results competitive with or superior to significantly larger models on key benchmarks, particularly in agentic coding tasks. It supports both thinking and non-thinking modes, allowing it to dynamically balance deep reasoning with fast responses depending on the task, and integrates capabilities across text and multimodal inputs such as images and video. Built as part of the Qwen3.6 family, the model emphasizes real-world usability, stability, and developer productivity, incorporating improvements driven by community feedback and practical deployment needs.

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

Machine learning engineers and developers seeking a solution offering embedding models for multilingual text, multimodal content, and code applications

Audience

Developers and AI engineers who need a powerful, open source model capable of advanced coding, reasoning, and agent workflows

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

Free
Free Version
Free Trial

Pricing

Free
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 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

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Nomic
United States
www.nomic.ai/embed

Company Information

Alibaba
Founded: 1999
China
qwen.ai/blog

Alternatives

Alternatives

MiMo-V2-Flash

MiMo-V2-Flash

Xiaomi Technology
Qwen3.5

Qwen3.5

Alibaba
Qwen3.6

Qwen3.6

Alibaba

Categories

Categories

Integrations

Python
Alibaba Cloud Model Studio
Baseten
Go
Hugging Face
Java
JavaScript
ModelScope
Ollama
OpenClaw
PHP
Qwen
Qwen Studio
Qwen3.6
Ruby

Integrations

Python
Alibaba Cloud Model Studio
Baseten
Go
Hugging Face
Java
JavaScript
ModelScope
Ollama
OpenClaw
PHP
Qwen
Qwen Studio
Qwen3.6
Ruby
Claim Nomic Embed and update features and information
Claim Nomic Embed and update features and information
Claim Qwen3.6-27B and update features and information
Claim Qwen3.6-27B and update features and information