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Description

Arcee AI is an open intelligence lab based in the United States that focuses on developing advanced, open-weight AI models. It is dedicated to creating high-performance AI systems that are both scalable and accessible to developers and enterprises. The company’s Trinity model family showcases its ability to deliver frontier-level reasoning capabilities with transparent architectures. Arcee AI leverages techniques such as online reinforcement learning to enable continuous model improvement even after deployment. Its models are designed to handle complex tasks, multi-step reasoning, and agent-based workflows. The company emphasizes cost efficiency, ensuring that organizations can access powerful AI without the high expenses typically associated with cutting-edge models. Arcee AI also provides APIs, documentation, and tools that support seamless integration into various applications. Its open-weight approach allows developers to customize and deploy models according to their specific needs. The platform is built to support a wide range of industries, including research, enterprise automation, and AI development. Ultimately, Arcee AI is focused on democratizing access to advanced AI technologies while maintaining performance and scalability.

Description

GLM-5.3 is Z.ai’s advanced coding and agentic reasoning model built through scaled post-training on top of the GLM-5.2 base model. The release focuses on frontier coding, long-horizon software engineering, agent tasks, cyber evaluation, and reinforcement learning at scale. GLM-5.3 improves significantly over GLM-5.2 on complex coding benchmarks, real-world engineering environments, Terminal Bench 3.0, DeepSWE, Agents’ Last Exam, and Z.ai’s internal Code Bench. The model is trained on environments that resemble real professional work, including tasks involving codebases, infrastructure, documentation, compute clusters, experiments, bottleneck diagnosis, implementation, testing, and measurable optimization. Z.ai’s post-training stack includes IndexShare for efficient long-context processing, SAO for reinforcement learning on long-horizon tasks, and slime for large-scale asynchronous training. GLM-5.3 supports three thinking effort levels, including low, high, and max, with max recommended for coding tasks. The model also demonstrates emergent cyber capabilities across vulnerability discovery and exploitation benchmarks, prompting continued safety evaluation and hardening before weights are released. GLM-5.3 can be used through the GLM Coding Plan, ZCode, Claude Code, OpenCode, and other coding agent workflows. By combining stronger coding performance, long-horizon task execution, post-training scale, cyber evaluation, reasoning effort controls, and coding-agent integrations, GLM-5.3 supports advanced developer and research workflows.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Augment Code No 
C No 
C# No 
CSS No 
Cheaper Inference No 
Cherry Studio No 
Claude Code No 
Cline No 
Cosmos No 
GLM Coding Plan No 
HTML No 
JetBrains Junie No 
Kilo Code No 
Kotlin No 
LM Studio No 
Qoder No 
Sup AI No 
Wafer No 
Yonoo No 
scikit-learn No 

Integrations

Augment Code Yes 
C Yes 
C# Yes 
CSS Yes 
Cheaper Inference Yes 
Cherry Studio Yes 
Claude Code Yes 
Cline Yes 
Cosmos Yes 
GLM Coding Plan Yes 
HTML Yes 
JetBrains Junie Yes 
Kilo Code Yes 
Kotlin Yes 
LM Studio Yes 
Qoder Yes 
Sup AI Yes 
Wafer Yes 
Yonoo Yes 
scikit-learn Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Arcee AI

Founded

2023

Country

United States

Website

www.arcee.ai/

Vendor Details

Company Name

Z.ai

Founded

2023

Country

China

Website

z.ai/

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

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