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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

GLM-5 is a next-generation open-source foundation model from Z.ai designed to push the boundaries of agentic engineering and complex task execution. Compared to earlier versions, it significantly expands parameter count and training data, while introducing DeepSeek Sparse Attention to optimize inference efficiency. The model leverages a novel asynchronous reinforcement learning framework called slime, which enhances training throughput and enables more effective post-training alignment. GLM-5 delivers leading performance among open-source models in reasoning, coding, and general agent benchmarks, with strong results on SWE-bench, BrowseComp, and Vending Bench 2. Its ability to manage long-horizon simulations highlights advanced planning, resource allocation, and operational decision-making skills. Beyond benchmark performance, GLM-5 supports real-world productivity by generating fully formatted documents such as .docx, .pdf, and .xlsx files. It integrates with coding agents like Claude Code and OpenClaw, enabling cross-application automation and collaborative agent workflows. Developers can access GLM-5 via Z.ai’s API, deploy it locally with frameworks like vLLM or SGLang, or use it through an interactive GUI environment. The model is released under the MIT License, encouraging broad experimentation and adoption. Overall, GLM-5 represents a major step toward practical, work-oriented AI systems that move beyond chat into full task execution.

Description

We offer a comprehensive telemetry solution for vending management that empowers operators to oversee their vending machines via an online platform. In line with our commitment to customer satisfaction, we do not restrict you to any specific software; instead, our systems seamlessly integrate with your chosen vending management software, enabling you to create a highly effective smart vending operation. Access to real-time operational data can significantly enhance the efficiency of vending machine services and drive higher sales figures. You can monitor the current status of your vending machines instantly, automatically generate optimal routes and stock lists for replenishment, and analyze your vending data through detailed reports. Additionally, our solution allows for integration with existing business management systems (ERP), minimizing unnecessary service visits and reducing downtime. This efficiency translates to a remarkable 25% savings in fuel costs, while also increasing the number of serviced vending machines. Ultimately, our cloud-based software offers a holistic approach to managing every aspect of your vending operator business lifecycle, ensuring you stay competitive in a dynamic market. With our solution, you can focus on growth while we handle the details.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

APIFree
Cherry Studio
Claude Code
Claw Code
Cline
Dessix
GLM Coding Plan
GLM-5-Turbo
Kilo Code
Ollama
OpenClaw
OpenRouter
Qoder
Roo Code
Shiori
Sup AI
Tabbit Browser
Yonoo
Zo Computer

Integrations

APIFree
Cherry Studio
Claude Code
Claw Code
Cline
Dessix
GLM Coding Plan
GLM-5-Turbo
Kilo Code
Ollama
OpenClaw
OpenRouter
Qoder
Roo Code
Shiori
Sup AI
Tabbit Browser
Yonoo
Zo Computer

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Zhipu AI

Founded

2023

Country

China

Website

z.ai/

Vendor Details

Company Name

OTI

Country

United States

Website

otiglobal.com/products/vms/

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