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What is Grok 4.7?

Grok 4.7 is a frontier artificial intelligence model from SpaceXAI built for demanding coding, knowledge work, and long-running agent workflows. The model uses a larger base architecture than Grok 4.6 and was trained with an extended reinforcement learning process focused on more difficult and longer-duration tasks. Its training emphasizes problems that may require hours of work, making it suitable for workflows that involve planning, execution, verification, and repeated tool use. Grok 4.7 improves self-checking behavior and long-context management so it can maintain task state more effectively across complex operations. The model also natively understands the Grok Bot harness, which improves conversational performance and general knowledge capabilities. Its use cases include software engineering, terminal tasks, document and presentation creation, legal analysis, electrical engineering, clinical reasoning, and other professional knowledge work. SpaceXAI reports benchmark gains over Grok 4.6 across coding, terminal, engineering, legal, and multi-hour office-task evaluations. Grok 4.7 includes a newly developed safeguard stack designed to strengthen jailbreak resistance and improve handling of risky cybersecurity, biological, and other dual-use requests. The company states that the model is designed to maintain strong utility for legitimate cybersecurity and research tasks while refusing more dangerous requests. Grok 4.7 is available through Grok Build, Cursor, the Grok API, coding harnesses, model routers, and supported cloud platforms, with a faster serving option also available. Pricing starts at $2 per million input tokens and $6 per million output tokens, positioning the model for developers and organizations running high-volume coding and professional AI workloads.

What is GPT-6 Luna?

GPT-6 Luna is OpenAI’s efficiency-focused GPT-6 model for developers and users who need capable reasoning, coding, computer use, and agentic workflows at very low inference cost. It is positioned below GPT-6 Sol and GPT-6 Astra in the model family while bringing many of the GPT-6 generation’s improvements to applications that prioritize scale and affordability. The model supports configurable reasoning effort so developers can allocate additional computation to complex tasks while keeping simpler interactions fast and economical. GPT-6 Luna can power business automation across applications used for sales, marketing, finance, operations, customer support, and human resources. Its coding capabilities support work on real software repositories, including multi-step engineering tasks that require analysis, modification, testing, and iteration. Luna can also operate in computer-use environments, allowing agents to navigate graphical interfaces and complete extended workflows across software applications. OpenAI reports that GPT-6 Luna substantially improves factual reliability compared with GPT-5.6 Luna and can approach the capabilities of more expensive models on some tasks when used at higher reasoning levels. The model also benefits from GPT-6’s improved collaboration style, with clearer technical communication, less unnecessary jargon, and fewer low-value details. Enhanced prompt caching allows applications to reuse previously processed context at a discount while preserving cache reuse when reasoning effort or available tools change. These efficiency improvements make Luna suitable for high-volume agents, coding assistants, automated workflows, customer-facing applications, and other systems where per-request cost is important. GPT-6 Luna is available through the OpenAI API as gpt-6-luna, as well as through ChatGPT Work, Codex, and supported ChatGPT desktop experiences.

Media

Media

Integrations Supported

.NET
C
C#
C++
CSS
Cursor
HTML
Hermes Agent
JavaScript
Kubernetes
Lua
Microsoft Excel
Microsoft Foundry
Objective-C
PHP
PowerShell
Python
R
Swift
TypeScript

Integrations Supported

.NET
C
C#
C++
CSS
Cursor
HTML
Hermes Agent
JavaScript
Kubernetes
Lua
Microsoft Excel
Microsoft Foundry
Objective-C
PHP
PowerShell
Python
R
Swift
TypeScript

API Availability

Has API

API Availability

Has API

Pricing Information

$2 per 1M tokens (input)
$2 per million input tokens and $6 per million output tokens

Pricing Information

$0.10 per 1M tokens (input)
Input: $0.10 per 1 million tokens
Output: $0.50 per 1 million tokens

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Web-Based Support

Customer Service / Support

Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

SpaceXSI

Date Founded

2023

Company Location

United States

Company Website

grok.com

Company Facts

Organization Name

OpenAI

Date Founded

2015

Company Location

United States

Company Website

openai.com

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

AI Vision Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Categories and Features

AI Coding Models

Not specified

AI Models

Not specified

AI Reasoning Models

Not specified

AI Vision Models

Not specified

Foundation Models

Not specified

Large Language Models

Not specified

Multimodal Models

Not specified

Popular Alternatives

Popular Alternatives

Grok 4.5 Reviews & Ratings

Grok 4.5

SpaceXSI