The main goal of the model is to make programmers’ daily work faster and more cost-effective.
The grok-code-fast-1 model is fully compatible with tools programmers are familiar with, such as grep, terminal, and file editors. It is built on a completely new technology and was trained using real code and changes made by developers.
xAI’s supercomputer team implemented several optimizations to increase the model’s response speed. Thanks to high cache accuracy, the model can perform multiple operations simultaneously in the background.
The model can be used with programming languages such as TypeScript, Python, Java, Rust, C++, and Go. It helps developers create projects from scratch, debug code, and answer questions about codebases.
The pricing is also very reasonable, and xAI offers the model for free for a limited time. Users can try it without charge on platforms such as GitHub Copilot, Cursor, and similar services.
xAI also reports that the model achieved 70.8% success on SWE-Bench-Verified tests. These results are based not only on benchmark tests but also on real developer experiences.
