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Grok Code Fast 1

The speedy, economical AI for coding

2025-08-29

Product Introduction

  1. Grok Code Fast 1 is a high-speed, cost-efficient reasoning model developed by xAI, specifically optimized for agentic coding workflows that require rapid iteration between reasoning and tool execution.
  2. The core value of Grok Code Fast 1 lies in its ability to deliver responsive, tool-integrated coding assistance at a fraction of the cost of comparable models, making advanced AI-powered development accessible for everyday programming tasks.

Main Features

  1. Grok Code Fast 1 achieves 190 tokens per second (TPS) through proprietary inference optimizations and prompt caching, enabling near-instantaneous responses during complex agentic workflows like code generation and debugging.
  2. The model supports full-stack development with specialized proficiency in TypeScript, Python, Java, Rust, C++, and Go, handling tasks ranging from zero-to-one project scaffolding to surgical bug fixes with minimal user oversight.
  3. Economical pricing at $0.20 per million input tokens and $1.50 per million output tokens, coupled with a $0.02 per million cached input token rate, ensures cost-effective scaling for both individual developers and enterprise teams.

Problems Solved

  1. Addresses the latency frustration in traditional agentic coding tools by reducing tool-call loop delays, enabling developers to maintain flow states during intensive programming sessions.
  2. Targets professional developers and engineering teams who require fast, reliable AI assistance integrated into IDEs like GitHub Copilot, Cursor, and Cline for daily productivity.
  3. Solves real-world scenarios such as rapid prototyping (e.g., building a battle simulator in one day), legacy codebase modernization, and automated resolution of verified SWE-Bench tasks with 70.8% accuracy.

Unique Advantages

  1. Unlike general-purpose models like GPT-5 or Claude Sonnet 4, Grok Code Fast 1 uses a purpose-built architecture trained on programming-specific datasets, including real-world pull requests and IDE interaction patterns.
  2. Features tool-native integration with grep, terminal emulation, and file editing workflows, enabling direct execution of environment-aware commands without context-switching penalties.
  3. Combines benchmark performance (70.8% on SWE-Bench-Verified subset) with human-evaluated usability metrics, achieving superior price-to-speed ratios compared to Gemini 2.5 Pro and Qwen3-Coder equivalents.

Frequently Asked Questions (FAQ)

  1. How does Grok Code Fast 1 achieve its speed advantage? The model leverages xAI's custom inference stack with prompt caching optimizations that achieve >90% cache hit rates in partner platforms, combined with low-latency token streaming optimized for IDE integrations.
  2. Which programming languages does Grok Code Fast 1 support best? The model demonstrates strongest performance in TypeScript, Python, Java, Rust, C++, and Go, with specialized training on real-world codebases and pull requests across these languages.
  3. What distinguishes Grok Code Fast 1 from free coding assistants? Unlike basic autocomplete tools, it executes full agentic workflows with tool calls (grep, terminal commands) while maintaining 190 TPS speeds and SWE-Bench problem-solving capabilities unmatched by open-source alternatives.
  4. How does pricing compare to GPT-5 for enterprise use? At $1.50 per million output tokens, Grok Code Fast 1 operates at <10% of GPT-5's estimated cost while delivering comparable coding-specific performance in IDE-integrated environments.
  5. Can the model handle multi-file codebase refactoring? Yes, through tight integration with partner platforms like Cursor and GitHub Copilot, it performs cross-file analysis and edits using trained file navigation patterns from its pre-training corpus.

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