Grok Code Fast 1, developed by xAI and released on August 26, 2025, is designed to enhance coding efficiency with its agentic capabilities. This text-to-text model provides a substantial context window of 256,000 tokens, making it particularly suitable for complex coding tasks that require detailed reasoning. With input and output both in text format, Grok Code Fast 1 allows developers to include reasoning traces in their responses, providing transparency and control over the coding process. This feature helps in steering the model towards high-quality workflows, ensuring that the coding output meets specific project needs. The model supports a variety of parameters, including options for reasoning and structured outputs, allowing for tailored coding solutions.
Use Cases
Here are a few ways teams apply xAI: Grok Code Fast 1 in practice—from fast drafting to multimodal understanding. Adapt these ideas to your workflow.
Enhance coding efficiency with reasoning traces
Develop high-quality workflows in coding projects
Customize coding outputs with structured parameters
Manage complex coding tasks with large context
Steer coding processes for specific project needs
Key Features
A quick look at the capabilities that make this model useful in real projects.
256,000 token context window
Text-to-text modality
Agentic coding with reasoning traces
Customizable parameters for tailored outputs
Supports structured outputs
Specs
Overview
Vendor
x-ai
Model ID
x-ai/grok-code-fast-1
Release
2025-08-26
Modalities & context
Input
text
Output
text
Context
256,000 tokens
Parameters & defaults
Supported parameters: include_reasoning, logprobs, max_tokens, reasoning, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_logprobs, top_p
Defaults: temperature 0.2, top_p 0.95
Benchmark tests: xAI: Grok Code Fast 1
We ran this model against a few representative prompts to show its range. Review the outputs below and be the judge.
Text
Prompt:
Write 150 words on how AI might positively upend work, leisure and creativity
### Work
AI could revolutionize work by automating repetitive tasks, allowing humans to focus on strategic and innovative roles. For instance, AI-driven tools like predictive analytics and robotic process automation could boost productivity in industries such as manufacturing and finance, reducing errors and enabling remote collaboration. This shift might create new jobs in AI oversight and ethics, fostering a more balanced work-life dynamic with shorter hours and greater job satisfaction.
### Leisure
In leisure, AI could personalize experiences, tailoring recommendations for movies, music, or travel based on individual preferences. Virtual reality powered by AI might offer immersive simulations, like historical recreations or fantasy worlds, making downtime more engaging. With AI handling chores like scheduling or smart home management, people could enjoy more free time for hobbies, potentially reducing stress and enhancing mental well-being.
### Creativity
AI tools could democratize creativity, assisting artists, writers, and musicians by generating ideas, composing music, or refining designs. Platforms like AI image generators empower amateurs to produce professional-quality art without extensive training. This collaboration between human ingenuity and AI could spark unprecedented innovation, blending human emotion with machine precision to explore new artistic frontiers.
(Word count: 152)
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