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Description

Nomic Embed is a comprehensive collection of open-source, high-performance embedding models tailored for a range of uses, such as multilingual text processing, multimodal content integration, and code analysis. Among its offerings, Nomic Embed Text v2 employs a Mixture-of-Experts (MoE) architecture that efficiently supports more than 100 languages with a remarkable 305 million active parameters, ensuring fast inference. Meanwhile, Nomic Embed Text v1.5 introduces flexible embedding dimensions ranging from 64 to 768 via Matryoshka Representation Learning, allowing developers to optimize for both performance and storage requirements. In the realm of multimodal applications, Nomic Embed Vision v1.5 works in conjunction with its text counterparts to create a cohesive latent space for both text and image data, enhancing the capability for seamless multimodal searches. Furthermore, Nomic Embed Code excels in embedding performance across various programming languages, making it an invaluable tool for developers. This versatile suite of models not only streamlines workflows but also empowers developers to tackle a diverse array of challenges in innovative ways.

Description

Qwen3.6-27B is an open-source, dense multimodal language model from the Qwen3.6 series, engineered to provide top-tier performance in areas such as coding, reasoning, and agent-driven workflows, all while maintaining an efficient parameter count of 27 billion. This model is recognized for its ability to outperform or compete closely with much larger counterparts on essential benchmarks, particularly excelling in agent-based coding tasks. It features dual operational modes—thinking and non-thinking—that enable it to effectively adapt its reasoning depth and response speed based on the specific requirements of each task. Additionally, it supports a variety of input types, including text, images, and video, showcasing its versatility. As part of the Qwen3.6 lineup, this model prioritizes practical usability, consistency, and the enhancement of developer productivity, reflecting advancements inspired by community insights and real-world application demands. Its innovative design not only responds to immediate user needs but also anticipates future trends in AI development.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Python Yes 
Alibaba Cloud Model Studio No 
Baseten Yes 
Cheaper Inference No 
Go Yes 
Hugging Face No 
Java Yes 
JavaScript Yes 
ModelScope No 
Ollama No 
OpenClaw No 
PHP Yes 
Qwen No 
Qwen Studio No 
Qwen3.6 No 
Ruby Yes 

Integrations

Python Yes 
Alibaba Cloud Model Studio Yes 
Baseten No 
Cheaper Inference Yes 
Go No 
Hugging Face Yes 
Java No 
JavaScript No 
ModelScope Yes 
Ollama Yes 
OpenClaw Yes 
PHP No 
Qwen Yes 
Qwen Studio Yes 
Qwen3.6 Yes 
Ruby No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Nomic

Country

United States

Website

www.nomic.ai/embed

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

qwen.ai/blog

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