Altar-1

Altar-1

Aikido Security
GLM-5.3

GLM-5.3

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-5.3 is Z.ai’s frontier coding model designed for complex software engineering, long-horizon agent tasks, and advanced post-training research. The model uses the same base model as GLM-5.2, with improvements coming from scaled post-training across more environments, more diverse tasks, and larger compute investment. GLM-5.3 delivers stronger coding performance, better task ownership, improved benchmark results, and greater efficiency across realistic development workflows. It is built to handle complex coding tasks, production-style engineering work, research environments, automation tasks, and agentic workflows that require multi-step execution. The model also shows emergent cyber capabilities in vulnerability discovery and exploitation-chain reasoning, with safety evaluation and hardening planned before open-weight release.

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

Software engineers, coding agent builders, AI researchers, ML infrastructure teams, security researchers, developer tool teams, automation teams, technical leaders, and organizations that need frontier coding models, long-horizon reasoning, production-style software engineering, benchmark-driven model evaluation, reinforcement learning research, coding-agent integrations, reasoning effort controls, ZCode workflows, and advanced technical task automation

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:

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 5.0 / 5

Pros & Cons from Real Users

Pros

  • The thing I like most is that GLM-5.3 feels aimed at serious engineering work, not casual prompting. It is built around coding agents, long-running software tasks, debugging, and the kind of multi-step execution that actually matters when you are working inside real repos. The post-training jump is also interesting. Z.ai is not just talking about a bigger model; it is pushing the idea that better training on agentic coding and cyber workflows can make the model more useful in practice.

Cons

  • The cybersecurity angle is impressive, but it is also where I would be most cautious. Strong vulnerability discovery and cyber reasoning can be useful for defense, audits, and secure engineering, but I would want very clear controls around how it is used.

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

Alternatives

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GPT-5.6 Sol

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GLM-5

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GLM-5.1

GLM-5.1

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Categories

AI Cybersecurity Supported
AI Models Supported

Categories

AI Coding Models Supported
AI Models Supported
Foundation Models Supported

Integrations

Amp Not Supported
Augment Code Not Supported
C Not Supported
C# Not Supported
Cheaper Inference Not Supported
Claude Code Not Supported
Cosmos Not Supported
Dessix Not Supported
Factory Droid Not Supported
GLM Coding Plan Not Supported
Go Not Supported
Kilo Code Not Supported
LM Studio Bionic Not Supported
OpenRouter Not Supported
PHP Not Supported
Python Not Supported
Qoder Not Supported
Sup AI Not Supported
Swift Not Supported
pandas Not Supported

Integrations

Amp Supported
Augment Code Supported
C Supported
C# Supported
Cheaper Inference Supported
Claude Code Supported
Cosmos Supported
Dessix Supported
Factory Droid Supported
GLM Coding Plan Supported
Go Supported
Kilo Code Supported
LM Studio Bionic Supported
OpenRouter Supported
PHP Supported
Python Supported
Qoder Supported
Sup AI Supported
Swift Supported
pandas Supported
Claim Altar-1 and update features and information
Claim Altar-1 and update features and information
Claim GLM-5.3 and update features and information
Claim GLM-5.3 and update features and information