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Average Ratings 0 Ratings

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ease
features
design
support

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Description

GLM-4.7 Flash serves as a streamlined version of Z.ai's premier large language model, GLM-4.7, which excels in advanced coding, logical reasoning, and executing multi-step tasks with exceptional agentic capabilities and an extensive context window. This model, rooted in a mixture of experts (MoE) architecture, is fine-tuned for efficient inference, striking a balance between high performance and optimized resource utilization, thus making it suitable for deployment on local systems that require only moderate memory while still showcasing advanced reasoning, programming, and agent-like task handling. Building upon the advancements of its predecessor, GLM-4.7 brings forth enhanced capabilities in programming, reliable multi-step reasoning, context retention throughout interactions, and superior workflows for tool usage, while also accommodating lengthy context inputs, with support for up to approximately 200,000 tokens. The Flash variant successfully maintains many of these features within a more compact design, achieving competitive results on benchmarks for coding and reasoning tasks among similarly-sized models. Ultimately, this makes GLM-4.7 Flash an appealing choice for users seeking powerful language processing capabilities without the need for extensive computational resources.

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

Shiori Yes 
C# No 
C++ No 
Cursor No 
Dessix No 
GitHub No 
GitHub Copilot No 
Grok No 
Grok Build No 
Java No 
JavaScript No 
Kilo Code No 
Laravel No 
Microsoft Foundry Models No 
OpenCode No 
OpenRouter No 
PHP No 
Roo Code No 
Rust No 
Zo Computer Yes 

Integrations

Shiori Yes 
C# Yes 
C++ Yes 
Cursor Yes 
Dessix Yes 
GitHub Yes 
GitHub Copilot Yes 
Grok Yes 
Grok Build Yes 
Java Yes 
JavaScript Yes 
Kilo Code Yes 
Laravel Yes 
Microsoft Foundry Models Yes 
OpenCode Yes 
OpenRouter Yes 
PHP Yes 
Roo Code Yes 
Rust Yes 
Zo Computer No 

Pricing Details

Free
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 No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
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

2019

Country

China

Website

docs.z.ai/guides/llm/glm-4.7#glm-4-7-flash

Vendor Details

Company Name

SpaceXAI

Founded

2023

Country

United States

Website

x.ai

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