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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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

Grok Code Fast 1 introduces a new class of coding-focused AI models that prioritize responsiveness, affordability, and real-world usability. Tailored for agentic coding platforms, it eliminates the lag developers often experience with reasoning loops and tool calls, creating a smoother workflow in IDEs. Its architecture was trained on a carefully curated mix of programming content and fine-tuned on real pull requests to reflect authentic development practices. With proficiency across multiple languages, including Python, Rust, TypeScript, C++, Java, and Go, it adapts to full-stack development scenarios. Grok Code Fast 1 excels in speed, processing nearly 190 tokens per second while maintaining reliable performance across bug fixes, code reviews, and project generation. Pricing makes it widely accessible at $0.20 per million input tokens, $1.50 per million output tokens, and just $0.02 for cached inputs. Early testers, including GitHub Copilot and Cursor users, praise its responsiveness and quality. For developers seeking a reliable coding assistant that’s both fast and cost-effective, Grok Code Fast 1 is a daily driver built for practical software engineering needs.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Cline Yes 
Dessix Yes 
Kilo Code Yes 
OpenRouter Yes 
Roo Code Yes 
Shiori Yes 
C# No 
Cherry Studio Yes 
GLM Coding Plan Yes 
Go No 
Grok Build No 
Java No 
JavaScript No 
Microsoft Foundry Models No 
OpenCode No 
Oxlo.ai Yes 
Python No 
Sup AI Yes 
Visual Studio Code No 
Zo Computer Yes 

Integrations

Cline Yes 
Dessix Yes 
Kilo Code Yes 
OpenRouter Yes 
Roo Code Yes 
Shiori Yes 
C# Yes 
Cherry Studio No 
GLM Coding Plan No 
Go Yes 
Grok Build Yes 
Java Yes 
JavaScript Yes 
Microsoft Foundry Models Yes 
OpenCode Yes 
Oxlo.ai No 
Python Yes 
Sup AI No 
Visual Studio Code Yes 
Zo Computer No 

Pricing Details

Free
Open source
Free Trial No 
Free Version Yes 

Pricing Details

$0.20 per million input tokens
$0.20 per million input tokens
$1.50 per million output tokens
$0.02 per million cached tokens
Free Trial Yes 
Free Version Yes 

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

Types of Training

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

Vendor Details

Company Name

Z.ai

Founded

2023

Country

China

Website

z.ai/

Vendor Details

Company Name

SpaceXSI

Founded

2023

Country

United States

Website

x.ai

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