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MODEL Listed

grok-4.7

Grok-4.7 is xAI's latest language model tuned for developers who need reliable code generation and agentic automation. It builds on Grok 4.6 with better context handling (up to 500K tokens), improved self-verification, and stronger performance on long-running engineering tasks like test-driven development, debugging, and multi-step refactoring. The model excels at understanding large codebases, generating accurate unit tests, and maintaining consistency across extended conversations—useful for both interactive pair-programming and autonomous agent workflows. It supports standard APIs (OpenAI-compatible endpoints), making integration straightforward for most modern toolchains. While not open-source, its permissive API access and competitive pricing make it accessible for commercial and hobbyist projects alike. In benchmarks, Grok-4.7 performs well against other leading models like GPT-4o and Claude 3.5 in coding-specific tasks, especially when iterative validation and context persistence matter. If you're building AI-powered dev tools or automating complex software pipelines, it's worth evaluating for its depth of context and self-checking capabilities.

x-aitext generation
01 / MODEL CARD

Model card

Grok-4.7 is xAI's latest language model tuned for developers who need reliable code generation and agentic automation. It builds on Grok 4.6 with better context handling (up to 500K tokens), improved self-verification, and stronger performance on long-running engineering tasks like test-driven development, debugging, and multi-step refactoring. The model excels at understanding large codebases, generating accurate unit tests, and maintaining consistency across extended conversations—useful for both interactive pair-programming and autonomous agent workflows. It supports standard APIs (OpenAI-compatible endpoints), making integration straightforward for most modern toolchains. While not open-source, its permissive API access and competitive pricing make it accessible for commercial and hobbyist projects alike. In benchmarks, Grok-4.7 performs well against other leading models like GPT-4o and Claude 3.5 in coding-specific tasks, especially when iterative validation and context persistence matter. If you're building AI-powered dev tools or automating complex software pipelines, it's worth evaluating for its depth of context and self-checking capabilities.

Model typetext generation
Providerx-ai
LicenseAPI
02 / FILES & VERSIONS

Model files and versions

Model cardModel description and metadata available in this entry
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Source repositoryhttps://openrouter.ai/x-ai/grok-4.7
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03 / DOWNLOAD

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04 / WORKFLOW

How to use

  1. 01
    Step 1

    Read the model card and source information.

  2. 02
    Step 2

    Start with a small, non-sensitive evaluation.

  3. 03
    Step 3

    Review quality, licensing and usage limits.

  4. 04
    Step 4

    Adopt it only after validation.

05 / DISCUSSIONS

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