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ease
features
design
support

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Description

GLM-5 is a next-generation open-source foundation model from Z.ai designed to push the boundaries of agentic engineering and complex task execution. Compared to earlier versions, it significantly expands parameter count and training data, while introducing DeepSeek Sparse Attention to optimize inference efficiency. The model leverages a novel asynchronous reinforcement learning framework called slime, which enhances training throughput and enables more effective post-training alignment. GLM-5 delivers leading performance among open-source models in reasoning, coding, and general agent benchmarks, with strong results on SWE-bench, BrowseComp, and Vending Bench 2. Its ability to manage long-horizon simulations highlights advanced planning, resource allocation, and operational decision-making skills. Beyond benchmark performance, GLM-5 supports real-world productivity by generating fully formatted documents such as .docx, .pdf, and .xlsx files. It integrates with coding agents like Claude Code and OpenClaw, enabling cross-application automation and collaborative agent workflows. Developers can access GLM-5 via Z.ai’s API, deploy it locally with frameworks like vLLM or SGLang, or use it through an interactive GUI environment. The model is released under the MIT License, encouraging broad experimentation and adoption. Overall, GLM-5 represents a major step toward practical, work-oriented AI systems that move beyond chat into full task execution.

Description

We present the Granite series of decoder-only code models specifically designed for tasks involving code generation, such as debugging, code explanation, and documentation, utilizing programming languages across a spectrum of 116 different types. An extensive assessment of the Granite Code model family across various tasks reveals that these models consistently achieve leading performance compared to other open-source code language models available today. Among the notable strengths of Granite Code models are: Versatile Code LLM: The Granite Code models deliver competitive or top-tier results across a wide array of code-related tasks, which include code generation, explanation, debugging, editing, translation, and beyond, showcasing their capacity to handle various coding challenges effectively. Additionally, their adaptability makes them suitable for both simple and complex coding scenarios. Reliable Enterprise-Grade LLM: All models in this series are developed using data that complies with licensing requirements and is gathered in alignment with IBM's AI Ethics guidelines, ensuring trustworthy usage for enterprise applications.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

APIFree
Claude Code
Claw Code
Cline
Dessix
GLM Coding Plan
GLM-5-Turbo
IBM Granite
IBM watsonx.ai
Kilo Code
Ollama
OpenClaw
OpenRouter
Qoder
Roo Code
Shiori
Sup AI
Tabbit Browser
Yonoo
Zo Computer

Integrations

APIFree
Claude Code
Claw Code
Cline
Dessix
GLM Coding Plan
GLM-5-Turbo
IBM Granite
IBM watsonx.ai
Kilo Code
Ollama
OpenClaw
OpenRouter
Qoder
Roo Code
Shiori
Sup AI
Tabbit Browser
Yonoo
Zo Computer

Pricing Details

Free
Free Trial
Free Version

Pricing Details

Free
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

Zhipu AI

Founded

2023

Country

China

Website

z.ai/

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/granite

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