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ease
features
design
support

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Write a Review

Description

Contextual AI has unveiled its Grounded Language Model (GLM), which is meticulously crafted to reduce inaccuracies and provide highly reliable, source-based replies for retrieval-augmented generation (RAG) as well as agentic applications. This advanced model emphasizes fidelity to the information provided, ensuring that responses are firmly anchored in specific knowledge sources and are accompanied by inline citations. Achieving top-tier results on the FACTS groundedness benchmark, the GLM demonstrates superior performance compared to other foundational models in situations that demand exceptional accuracy and dependability. Tailored for enterprise applications such as customer service, finance, and engineering, the GLM plays a crucial role in delivering trustworthy and exact responses, which are essential for mitigating risks and enhancing decision-making processes. Furthermore, its design reflects a commitment to meeting the rigorous demands of industries where information integrity is paramount.

Description

Qwen3.7-Plus is an advanced multimodal agent model that seamlessly integrates vision and language into a single, adaptable foundation for intelligent agents. Expanding upon the agentic intelligence of Qwen3.7, it enhances its abilities to include visual comprehension, reasoning, grounded interactions, and the use of various multimodal tools, allowing agents to perceive, analyze, and operate within text, images, documents, screens, and intricate real-world scenarios. This model is specifically crafted for dynamic tasks that go beyond mere static question answering, facilitating activities such as visual searches, document understanding, chart and table evaluations, screen comprehension, GUI interactions, image-driven reasoning, and workflows where perception, planning, and action are interlinked. Qwen3.7-Plus fortifies the relationship between linguistic reasoning and visual cues, empowering users to inquire about images, decode complex multimodal information, extract organized data, and formulate responses that incorporate both contextual and visual elements, thus broadening the scope of interactive AI applications. With these enhancements, users can engage in more sophisticated and nuanced interactions with the system, making it a powerful tool for various practical applications.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Alibaba Cloud Model Studio No 
Cherry Studio No 
ClinePass No 
Contextual AI Yes 
Happy Shrimp 1.0 No 
Hermes Agent No 
Hugging Face No 
Model Context Protocol (MCP) No 
ModelScope No 
Ollama No 
OpenClaw No 
Python No 
Qwen No 
Qwen Studio No 
Vercel AI Gateway No 

Integrations

Alibaba Cloud Model Studio Yes 
Cherry Studio Yes 
ClinePass Yes 
Contextual AI No 
Happy Shrimp 1.0 Yes 
Hermes Agent Yes 
Hugging Face Yes 
Model Context Protocol (MCP) Yes 
ModelScope Yes 
Ollama Yes 
OpenClaw Yes 
Python Yes 
Qwen Yes 
Qwen Studio Yes 
Vercel AI Gateway Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

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 No 

Customer Support

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

Types of Training

Training Docs No 
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

Contextual AI

Founded

2023

Country

United States

Website

contextual.ai/blog/introducing-grounded-language-model/

Vendor Details

Company Name

Alibaba

Founded

1999

Country

China

Website

qwen.ai/blog

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