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xAI Releases Grok 4.7 with 500k Context Window

xAI has released Grok 4.7, a new frontier model designed for coding, agentic tasks, and knowledge work, featuring a 500,000-token context window and a knowledge cutoff of May 2026.

By Illumora Editorial

Source · Sep 21, 2026, 3:47 PM · On Illumora · Sep 21, 2026, 3:57 PM

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Read the source →xAI Docs — Grok 4.7 | SpaceXAI Docs
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xAI has introduced Grok 4.7, a new frontier model intended for coding, agentic tasks, and knowledge work. This model offers a 500,000-token context window and has a knowledge cutoff of May 2026. It supports both text and image input, with text output.

Key Points

  • Grok 4.7 is xAI's frontier model for coding, agentic tasks, and knowledge work.
  • The model features a 500,000-token context window.
  • Its knowledge cutoff is May 2026.
  • Input pricing for Grok 4.7 is $2.00 per 1 million tokens, and output pricing is $6.00 per 1 million tokens.
  • Users can control reasoning effort with options including low, medium, high (default), or xhigh.
  • Grok 4.7 Fast is available in Cursor and Grok Build, but not on the public xAI API, and is billed at twice the standard token rates.
  • The model supports function calling, web search, X search, and code execution.

Context

According to xAI, Grok 4.7 is accessible via the xAI API, where users can set the model name to grok-4.7 in their API requests. The API supports various programming languages, including Python, JavaScript, and Bash. xAI also notes that a US regional endpoint is available at https://us.api.x.ai/v1, which keeps inference within the United States but incurs a 10% premium on token usage.

Why It Matters

The introduction of Grok 4.7 provides developers with a powerful tool for complex coding, agentic, and knowledge-based applications, offering a substantial context window and specific pricing tiers. The option for varying reasoning effort allows for fine-tuned control over model behavior, impacting both performance and cost.

What To Do

  • Review the xAI API documentation for details on integrating Grok 4.7 into applications.
  • Compare the pricing for Grok 4.7 and Grok 4.7 Fast to determine the most cost-effective option for specific use cases.
  • Experiment with different reasoning_effort settings (low, medium, high, xhigh) to observe their impact on model output and performance.
  • Note the availability of Grok 4.7 Fast exclusively within Cursor and Grok Build for faster inference needs.

Keep Exploring

/atlas/**grok**-family /techniques/function-calling