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What is GLM-5.1?

GLM-5.1 marks the newest evolution in Z.ai’s GLM lineup, designed as a state-of-the-art AI model focused on agents, specifically for tasks involving coding, logical reasoning, and overseeing long-term processes. This version builds on the foundation set by GLM-5, which utilizes a Mixture-of-Experts (MoE) framework to maximize performance while keeping inference costs low, supporting a broader vision of making weight models available to developers. A key feature of GLM-5.1 is its ability to promote agentic behavior, enabling it to plan, execute, and enhance multi-step tasks rather than just responding to single prompts. The model is meticulously crafted to handle complex workflows, such as troubleshooting code, navigating repositories, and conducting sequential tasks, all while preserving context over extended periods. Compared to earlier models, GLM-5.1 provides improved reliability during prolonged interactions, ensuring consistency throughout longer sessions and reducing errors in multi-step reasoning tasks. Furthermore, this advancement represents a significant step forward in the realm of AI, especially in its proficiency for managing intricate task workflows with ease. With its innovative features, GLM-5.1 sets a new standard for what agent-focused AI can achieve in practical applications.

What is Altar-1?

The Aikido Altar is a state-of-the-art open-weight security framework designed to provide organizations with sophisticated defensive security intelligence specifically adapted to their infrastructure needs. This system is particularly effective in environments that demand sovereign security, safeguarding sensitive materials such as source code, architectural blueprints, vulnerability reports, and various confidential data within the organization's perimeter, preventing any sharing with outside inference services. Utilizing the GLM-5.3 architecture, Altar incorporates methods like quantization and expert pruning that reduce the model size from a substantial 1.51 TB in full precision to a more manageable 328 GB, while still preserving most of the original model's reasoning and security capabilities. The architecture maintains 168 of the originally 256 routed experts in each backbone expert layer and employs a W4A16 representation, improving its utility for security tasks that necessitate managing large and evolving context windows. Expert selection was calibrated using internal pentesting data alongside multilingual resources, ensuring that no client data was involved, thus maintaining the integrity of cybersecurity, programming, and language processing capabilities. This groundbreaking strategy not only simplifies the deployment process but also enhances the organization's defense against new and evolving threats, ensuring robust protection in an increasingly complex digital landscape. Furthermore, the ongoing development of additional features aims to further bolster the system’s resilience and adaptability to future security challenges.

Media

Media

Integrations Supported

C++
CSS
Cherry Studio
Cline
Dessix
Factory Droid
GLM Coding Plan
Go
PHP
PyTorch
R
Rust
SQL
Shiori
Sup AI
Together AI
TypeScript
Vercel AI Gateway
Wafer
scikit-learn

Integrations Supported

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Open source
Free Version

Pricing Information

$350 per month
Free Version

Supported Platforms

SaaS
Windows
Mac
On-Prem
Linux

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Z.ai

Date Founded

2023

Company Location

China

Company Website

z.ai/

Company Facts

Organization Name

Aikido Security

Date Founded

2022

Company Location

Belgium

Company Website

www.aikido.dev/blog/aikido-altar-open-weight-ai-sovereign-security

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Categories and Features

AI Cybersecurity

Not specified

AI Models

Not specified

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