Grok 4.7 is a Large Language Models (LLMs) tool. Large language model built for coding, long-running tasks, and professional work. Key features include Extended Context Window, Multi-Hour Task Training, and Self-Verification. Best for software developers and engineers, data scientists and analysts and content creators.
About Grok 4.7
Grok 4.7 is SpaceXAI's frontier large language model designed for software development, coding agents, and multi-hour professional tasks. It features a 500K token context window, improved self-verification, and strong performance on coding benchmarks.
Key Features
Extended Context Window.
Multi-Hour Task Training.
Self-Verification.
Coding Agent Performance.
Multimodal Input.
Affordable Pricing.
Frequently Asked Questions
Grok 4.7 works best for coding tasks, software development, and professional knowledge work that takes multiple hours to complete. It's particularly strong at tasks like debugging, code review, document creation, and long-running agent workflows.
Grok 4.7 costs $2 per million input tokens and $6 per million output tokens through the standard API. A faster variant is available at twice those rates. Free access is available through Grok Build with usage limits.
Grok 4.7 is available in Cursor, Grok Build, GitHub Copilot, the xAI API, and through third-party platforms like model routers and cloud providers. It's accessible to developers immediately across multiple coding environments.
Grok 4.7 scores 46 on the Artificial Analysis Intelligence Index, placing it above average but behind Claude Fable 5.1 and GPT-6 at 53 each. It's competitively priced and shows strong gains in coding and agentic knowledge work compared to its predecessor.







