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Average Ratings 0 Ratings

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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

NVIDIA's Nemotron 3 represents a collection of open large language models crafted to drive advanced reasoning, conversational AI, and autonomous AI agents. This series consists of three distinct models tailored for varying scales of AI workloads, all while ensuring remarkable efficiency and precision. Emphasizing "agentic AI" features, these models are capable of executing multi-step reasoning, collaborating with tools, and functioning as integral parts of multi-agent systems utilized across automation, research, and enterprise sectors. The underlying architecture employs a hybrid mixture-of-experts (MoE) approach paired with transformer techniques, enabling the activation of only specific parameter subsets for each task, thereby enhancing performance and minimizing computational expenses. Designed to excel in reasoning, dialogue, and strategic planning, the Nemotron 3 models are optimized for high throughput, making them suitable for extensive deployment across diverse applications. Additionally, their innovative architecture allows for greater adaptability and scalability, ensuring they meet the evolving demands of modern AI challenges.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

APIFree Yes 
Cheaper Inference Yes 
Cherry Studio Yes 
Claw Code Yes 
Cline Yes 
Dessix Yes 
GLM Coding Plan Yes 
Kilo Code Yes 
Nemotron 3 Nano No 
Nemotron 3 Nano Omni No 
Nemotron 3 Super No 
Ollama Yes 
OpenClaw Yes 
OpenRouter Yes 
Oxlo.ai Yes 
Shiori Yes 
Sup AI Yes 
Tabbit Browser Yes 
Yonoo Yes 
Zo Computer Yes 

Integrations

APIFree No 
Cheaper Inference No 
Cherry Studio No 
Claw Code No 
Cline No 
Dessix No 
GLM Coding Plan No 
Kilo Code No 
Nemotron 3 Nano Yes 
Nemotron 3 Nano Omni Yes 
Nemotron 3 Super Yes 
Ollama No 
OpenClaw No 
OpenRouter No 
Oxlo.ai No 
Shiori No 
Sup AI No 
Tabbit Browser No 
Yonoo No 
Zo Computer No 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
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 Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

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

Vendor Details

Company Name

Z.ai

Founded

2023

Country

China

Website

z.ai/

Vendor Details

Company Name

NVIDIA

Founded

1993

Country

United States

Website

nvidia.com

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