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ease
features
design
support

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Description

GLM-5-Turbo represents a rapid iteration of Z.ai’s GLM-5 model, engineered to offer both efficient and stable performance specifically tailored for agent-driven scenarios, all while preserving robust reasoning and programming abilities. This model is fine-tuned to handle high-throughput demands, especially in complex long-chain agent tasks that necessitate a series of sequential steps, tools, and decisions executed reliably and with minimal latency. With its support for sophisticated agentic workflows, GLM-5-Turbo enhances multi-step planning, tool utilization, and task execution, delivering superior responsiveness compared to larger flagship models in the lineup. Drawing from the foundational strengths of the GLM-5 family, it maintains strong capabilities in reasoning, coding, and processing extensive contexts, but prioritizes the optimization of essential aspects like speed, efficiency, and stability within production settings. Furthermore, it is crafted to seamlessly integrate with agent frameworks such as OpenClaw, allowing it to proficiently coordinate actions, manage inputs, and carry out tasks effectively. This ensures that users benefit from a responsive and reliable tool that can adapt to various operational demands and complexities.

Description

Introducing a remarkable family of compact language models (SLMs) that deliver exceptional performance while being cost-effective and low in latency. These models are designed to enhance AI functionalities, decrease resource consumption, and promote budget-friendly generative AI applications across various platforms. They improve response times in real-time interactions, navigate autonomous systems, and support applications that demand low latency, all critical to user experience. Phi-3 can be deployed in cloud environments, edge computing, or directly on devices, offering unparalleled flexibility for deployment and operations. Developed in alignment with Microsoft AI principles—such as accountability, transparency, fairness, reliability, safety, privacy, security, and inclusiveness—these models ensure ethical AI usage. They also excel in offline environments where data privacy is essential or where internet connectivity is sparse. With an expanded context window, Phi-3 generates outputs that are more coherent, accurate, and contextually relevant, making it an ideal choice for various applications. Ultimately, deploying at the edge not only enhances speed but also ensures that users receive timely and effective responses.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Azure AI Services
Azure OpenAI Service
Cake AI
Claw Code
Database Mart
Falcon-7B
GLM Coding Plan
GLM-5
GLM-5.1
LM-Kit.NET
Model Context Protocol (MCP)
Molmo
Msty
NativeMind
Ollama
OpenClaw
Skott
WebLLM
Z.ai

Integrations

Azure AI Services
Azure OpenAI Service
Cake AI
Claw Code
Database Mart
Falcon-7B
GLM Coding Plan
GLM-5
GLM-5.1
LM-Kit.NET
Model Context Protocol (MCP)
Molmo
Msty
NativeMind
Ollama
OpenClaw
Skott
WebLLM
Z.ai

Pricing Details

Free
Free Trial
Free Version

Pricing Details

No price information available.
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

Z.ai

Founded

2019

Country

China

Website

docs.z.ai/guides/llm/glm-5-turbo

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/products/phi-3

Product Features

Product Features

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Alternatives

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