Altar-1

Altar-1

Aikido Security
GLM-5.1

GLM-5.1

Z.ai
+
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About

Aikido Altar is an open-weight security model built to bring frontier-grade defensive security intelligence into infrastructure organizations' control. It is designed for sovereign security environments where sensitive source code, architecture documentation, vulnerability findings, and other internal context cannot be sent to third-party inference services. Altar is based on GLM-5.3 and uses quantization and expert pruning to reduce the model from 1.51 TB at full precision to 328 GB while preserving most of the parent model’s reasoning and security capabilities. It retains 168 of the original 256 routed experts per backbone expert layer and uses a W4A16 representation, making deployment more practical for agentic security workloads with large and growing context windows. Expert selection was calibrated using internal pentesting traces and multilingual data, with no customer data involved, to preserve cybersecurity, coding, and language understanding.

About

GLM-5.1 is the latest iteration of Z.ai’s GLM series, designed as a frontier-level, agent-oriented AI model optimized for coding, reasoning, and long-horizon workflows. It builds on the GLM-5 architecture, which uses a Mixture-of-Experts (MoE) design to deliver high performance while keeping inference costs efficient, and is part of a broader push toward open-weight, developer-accessible models. A core focus of GLM-5.1 is enabling agentic behavior, meaning it can plan, execute, and iterate across multi-step tasks rather than simply responding to single prompts. It is specifically designed to handle complex workflows such as debugging code, navigating repositories, and executing chained operations with sustained context. Compared to earlier models, GLM-5.1 improves reliability in long interactions, maintaining coherence across extended sessions and reducing breakdowns in multi-step reasoning.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Security teams and regulated organizations needing to run AI-powered vulnerability research, code analysis, remediation, and pentesting entirely within infrastructure they control

Audience

Developers and AI teams who need a cost-efficient, agent-capable model for coding, automation, and long multi-step workflows with flexible deployment options

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

$350 per month
Free Version Supported
Free Trial Not Supported

Pricing

Free
Open source
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Aikido Security
Founded: 2022
Belgium
www.aikido.dev/blog/aikido-altar-open-weight-ai-sovereign-security

Company Information

Z.ai
Founded: 2023
China
z.ai/

Alternatives

No Alternatives

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Categories

AI Cybersecurity Supported
AI Models Supported

Categories

AI Coding Models Supported
AI Models Supported
Foundation Models Supported

Integrations

Cheaper Inference Not Supported
Claw Code Not Supported
Cline Not Supported
Factory Droid Not Supported
GLM-5-Turbo Not Supported
Go Not Supported
HTML Not Supported
JavaScript Not Supported
Kotlin Not Supported
OpenClaw Not Supported
PyTorch Not Supported
Python Not Supported
Qoder Not Supported
Sup AI Not Supported
Swift Not Supported
TypeScript Not Supported
Wafer Not Supported
Zo Computer Not Supported
pandas Not Supported
scikit-learn Not Supported

Integrations

Cheaper Inference Supported
Claw Code Supported
Cline Supported
Factory Droid Supported
GLM-5-Turbo Supported
Go Supported
HTML Supported
JavaScript Supported
Kotlin Supported
OpenClaw Supported
PyTorch Supported
Python Supported
Qoder Supported
Sup AI Supported
Swift Supported
TypeScript Supported
Wafer Supported
Zo Computer Supported
pandas Supported
scikit-learn Supported
Claim Altar-1 and update features and information
Claim Altar-1 and update features and information
Claim GLM-5.1 and update features and information
Claim GLM-5.1 and update features and information