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Grok 4.7 Review

Grok 4.7 is the latest AI model from SpaceXAI, optimized for coding and knowledge work with improved performance and safety features.

shipped Sep 22, 2026codepaid
Domain rating87Monthly visits794K/mo
code
Grok 4.7 — product screenshot

Why it matters

1Optimized for coding and knowledge work.
2Features advanced safety measures and safeguards against misuse.
3Supports long-running tasks and multiple professional use cases.
4API available for developers with documentation at https://docs.x.ai/.

About Grok 4.7

Business Model
Usage-Based (Pay Per Use)
Usage Pricing
$2 per million input tokens, $6 per million output tokens per token
Free Credits
Try for free with limited use
Platforms
Web, iOS, Android, API
Target Audience
Developers and businesses seeking AI solutions for coding and knowledge tasks.

Pricing Plans

Grok 4.7 Standard
$2/mo per million input tokens
  • • Input token pricing: $2 per million
  • • Output token pricing: $6 per million
  • • Highly competitive in performance
  • • Dedicated API access

Cost Examples

  • • Process 1 million input tokens: ~$2
  • • Generate output for 1 million tokens: ~$6

Specs

API Available

Yes, public API

overview

What is Grok 4.7?

Grok 4.7 is a large language model developed by SpaceXAI that enables developers and businesses to perform coding and knowledge tasks. It is optimized for long-running tasks and features safeguards against misuse, making it suitable for various professional applications including software engineering, legal work, and cybersecurity.

features

Key Features of Grok 4.7

Grok 4.7 incorporates several features designed to enhance its utility for professional applications, focusing on performance, safety, and developer access.

  • Optimized for coding tasks, providing specialized assistance for software development.
  • Supports multiple professional use cases, including legal work and cybersecurity.
  • Achieves high-performance benchmarks for efficient task execution.
  • Includes advanced safety measures to prevent misuse and ensure responsible AI deployment.
  • Offers an API for developers, facilitating integration into existing workflows and applications.
  • Designed to support long-running tasks, enabling complex, multi-hour knowledge work.
  • Features safeguards against misuse, enhancing reliability and ethical application.

use cases

Who Should Use Grok 4.7?

Grok 4.7 is targeted at developers and businesses requiring an AI solution for specialized coding and knowledge-intensive tasks, particularly those needing robust performance and integrated safety features.

  • Software Engineering: For code generation, debugging, and understanding complex codebases.
  • Legal Work: Assisting with document creation, research, and analysis of legal texts.
  • Cybersecurity: Supporting threat analysis, vulnerability assessment, and incident response documentation.
  • Document Creation: Automating the generation of reports, summaries, and other professional documents.
  • Multi-hour Knowledge Tasks: Handling extensive research, data synthesis, and complex problem-solving over extended periods.

how to use

How to Use Grok 4.7

To begin using Grok 4.7, users can access the platform via web, iOS, Android, or integrate it into their applications using the provided API. The API documentation is available at https://docs.x.ai/.

  • 1Visit the Grok 4.7 website or download the iOS/Android application.
  • 2Sign up for an account to access the service.
  • 3Choose a pricing plan, such as Grok 4.7 Standard, to enable full functionality.
  • 4For developers, consult the API documentation at https://docs.x.ai/ to integrate Grok 4.7 into custom applications.
  • 5Utilize integrations like Cursor or Grok Build for enhanced workflow capabilities.
  • 6Begin submitting coding or knowledge-based tasks for processing.

pricing

Grok 4.7 Pricing & Plans

Grok 4.7 operates on a usage-based pricing model, offering a free tier for limited use and a standard paid plan for professional applications. The pricing is structured per million tokens for both input and output.

  • Free Tier: Available for limited use, allowing users to try the service without immediate cost.
  • Grok 4.7 Standard: Priced at $2/mo per million input tokens. Output tokens are priced at $6 per million output tokens. For example, processing 1 million input tokens costs approximately $2, while generating output for 1 million tokens costs approximately $6.

Pros

  • +Optimized specifically for coding and complex knowledge work.
  • +Includes advanced safety features and safeguards against misuse.
  • +Supports long-running tasks, suitable for multi-hour professional applications.
  • +Offers a developer API for integration into custom workflows.
  • +Provides a free tier for initial evaluation and limited use.

Cons

  • −Pricing is usage-based, which can lead to variable costs depending on token consumption.
  • −May require integration effort for full utilization via API.
  • −Specific performance benchmarks relative to competitors are not detailed in provided data.

Similar Tools

Grok 4.7 vs Competitors

Grok 4.7 competes in the AI model landscape with offerings from Mistral AI, Perplexity AI, Hugging Face, and Meta's Code Llama, each with distinct differentiators.

1

Offers highly performant and efficient open-source and commercial models, known for strong reasoning capabilities and speed.

Mistral's commercial models like Mixtral 8x7B are highly competitive in performance and cost-effectiveness for many tasks, but Grok 4.7 might offer deeper integration with X.ai's ecosystem or specific optimizations not present in Mistral's general-purpose models.

2

Combines powerful AI models with real-time search capabilities, providing cited answers and a focus on information retrieval.

Perplexity excels at grounded answers and up-to-date information, which is excellent for knowledge work, but its direct coding assistance might not be as deeply integrated or specialized as Grok 4.7's specific coding optimizations.

3
Hugging Face Inference API (Mixtral 8x7B)↗

Provides easy API access to a vast ecosystem of open-source models, allowing users to choose and deploy models like Mixtral 8x7B without managing infrastructure.

While offering access to powerful open-source models, the Inference API requires more direct model selection and management compared to a single, optimized model like Grok 4.7, and may lack Grok's specific 'safeguards against misuse' or long-running task optimizations out-of-the-box.

4
Code Llama (via Replicate)↗

A family of open-source large language models from Meta specifically designed for code generation and understanding.

Code Llama is highly specialized for coding tasks, potentially outperforming general-purpose models in that domain, but accessing it via a platform like Replicate might involve managing API calls and model versions, whereas Grok 4.7 offers a unified, potentially more streamlined experience.

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