grok-code-fast-1
Grok Code Fast 1 is a fast, economical AI model for agentic coding, built from scratch with a new architecture, trained on programming-rich data, and fine-tuned for real-world coding tasks like bug fixes and project setup. xAI
xAIDirect from Azure
Version: 1
Direct from Azure models are a select portfolio curated for their market-differentiated capabilities:
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About this model
Post-training focused on aligning the model for practical coding tasks, with human evaluations by developers ensuring usability. The model excels in languages like TypeScript, Python, Java, Rust, C++, and Go, and supports structured outputs and function calling for seamless integration with development tools. It differs from larger models like Grok 4 by prioritizing speed and cost over broad reasoning capabilities.Responsible AI considerations
Safety techniques
Because models developed by xAI push the frontier of AI capabilities, xAI seeks to mitigate their risks through both evaluating model behaviors and implementing safeguards. Details about the evaluation and mitigation for top RAI risks are included in the xAI Grok Code Fast 1 model card.Safety evaluations
Microsoft's safety and responsible AI evaluations found Grok Code Fast 1 to be less safe than other models evaluated and offered through Azure Direct. In particular, the review found that the model brings (i) higher risks of producing potentially harmful content (e.g., content including hate and unfairness, sexual, violent, and glorification of self-harm) and (ii) higher risks of successful jailbreak attacks. Grok Code Fast 1 benchmarks and system evaluations are detailed in the xAI Grok Code Fast 1 model card. We have also made safety benchmarks available for this model in the model card benchmark tab and the tradeoff chart, which illustrates the significantly higher jailbreak success rates on Grok Code Fast 1 compared to other models.Known limitations and considerations
We require that customers use both system safety messages and Azure AI Content Safety (AACS) service to manage model behavior and comply with the Microsoft Enterprise AI Services Code of Conduct, but note that integration of these required safeguards will probably not mitigate all the risks. Given Microsoft's safety and responsible AI evaluation found Grok Code Fast 1 to be less safe than other models offered through Azure Direct (see "Safety evaluations" section above), there may be categories of harm this model can produce that are not covered by Azure AI Content Safety evaluation and mitigations. Therefore, customers should conduct their own evaluations according to their intended use cases and implement appropriate mitigations before deploying Grok Code Fast 1 in production systems.Acceptable use policy
Review the xAI model card for additional information on system evaluations, expected behavior, and safety systems. Customers are required to use both system safety messages and Azure AI Content Safety (AACS) service to manage model behavior and comply with the Microsoft Enterprise AI Services Code of Conduct. See the "Out of scope use cases" section for scenarios where we do not recommend deploying Grok Code Fast 1.Key model capabilities
The model excels in languages like TypeScript, Python, Java, Rust, C++, and Go, and supports structured outputs and function calling for seamless integration with development tools. It prioritizes low-latency responses and tool integration (e.g., grep, terminal, file editing), making it ideal for iterative coding workflows in IDEs like GitHub Copilot and Cursor. Grok Code Fast 1 is designed for agentic coding tasks, excelling in rapid prototyping, bug fixing, and navigating large codebases with minimal oversight. Its speed and low-cost API make it ideal for high-throughput tasks like CI automation and batch code generation.Quick facts
Model providerxAI
TypeChat completion
LifecycleGenerally available (GA)
Input typetext
Output typetext
Context window256k
Token limits8192 output
PricingView pricing