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Grok Code Fast 1
Its massive 256,000-token context window allows for handling large codebases and multi-file projects without truncation, making it ideal for complex coding workflows.
Free $1 Tokens for New Members
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                                        const { OpenAI } = require('openai');

const api = new OpenAI({
  baseURL: 'https://api.ai.cc/v1',
  apiKey: '',
});

const main = async () => {
  const result = await api.chat.completions.create({
    model: 'x-ai/grok-code-fast-1',
    messages: [
      {
        role: 'system',
        content: 'You are an AI assistant who knows everything.',
      },
      {
        role: 'user',
        content: 'Tell me, why is the sky blue?'
      }
    ],
  });

  const message = result.choices[0].message.content;
  console.log(`Assistant: ${message}`);
};

main();
                                
                                        import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.ai.cc/v1",
    api_key="",    
)

response = client.chat.completions.create(
    model="x-ai/grok-code-fast-1",
    messages=[
        {
            "role": "system",
            "content": "You are an AI assistant who knows everything.",
        },
        {
            "role": "user",
            "content": "Tell me, why is the sky blue?"
        },
    ],
)

message = response.choices[0].message.content

print(f"Assistant: {message}")
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Grok Code Fast 1

Product Detail

🚀 Grok Code Fast 1 is xAI's cutting-edge, specialized, rapid, and economical coding assistant, expertly engineered for modern agentic coding workflows. It excels in a wide array of high-volume, practical software development tasks, including efficient code generation, precise debugging, sophisticated editing, and complex multi-step agentic operations.

Built with a core focus on speed, efficiency, and cost-effectiveness, Grok Code Fast 1 demonstrates exceptional proficiency across key programming languages such as TypeScript, Python, Java, Rust, C++, and Go. Its design allows for deep integration into developer pipelines, providing structured and transparent reasoning outputs that enhance traceability.

Technical Specifications

Performance Benchmarks

  • Context Window: 256,000 tokens (max prompt + response)
  • ➡️ Max Output: Up to 16,000 tokens (playground capped)
  • ⚙️ Architecture: 314B-parameter Mixture-of-Experts (MoE) for speed and capability
  • Throughput: Approximately 92 tokens per second

Performance Metrics

  • Coding Accuracy: 93.0% across various coding tasks
  • 🎯 Instruction Following: 75.0% accuracy
  • 🧠 Classification & Knowledge: Perfect scores in morality, email classification, and general knowledge
  • 💡 Reasoning Accuracy: 80.0%, with visible step-by-step reasoning traces for detailed developer inspection
  • 📈 Speed & Throughput: Competitive metrics supporting real-time coding workflows
Grok Code Fast 1 Token Usage Data
Token usage data on OpenRouter positions Grok Code Fast 1 at the forefront of active models, validating its competitive speed and efficiency in delivering real-time coding assistance.

API Pricing

  • 💸 Input Tokens: $0.21 per million
  • 💰 Output Tokens: $1.575 per million
  • 🧊 Cached Input Tokens: $0.02 per million

Key Capabilities

  • 📚 Massive Long-Context Handling: Efficiently processes entire codebases or multi-file projects, maintaining coherence.
  • 🤖 Agentic Coding: Features native function/tool calls and robust multi-step operation chaining for autonomous workflows.
  • 🔍 Traceable Reasoning Outputs: Reveals intermediate steps, significantly boosting transparency and steerability for developers.
  • 🌐 Multi-Language Support: Comprehensive support for practical software stacks, including all major modern programming languages.
  • 💲 Economical Pricing: Designed for high-volume developer usage and iterative workflows, ensuring cost efficiency.

Optimal Use Cases

  • 🛠️ Agentic Coding Assistants: Powering autonomous code writing, sophisticated debugging, and seamless system integration.
  • 🏗️ Large-Scale Codebase Analysis: Enabling multi-file editing and analysis without compromising coherence.
  • 🔬 Coding Research & Evaluation: Ideal for tasks demanding precise reasoning and transparent logic.
  • 🚀 CI/CD Pipeline Integration: Seamlessly integrates into continuous integration/delivery workflows with high throughput and cost efficiency.

Code Sample

// Placeholder for an interactive code sample or API snippet.
// This section would typically display an example of Grok Code Fast 1 in action,
// demonstrating its capabilities in a specific programming language.

import GrokCodeFast1 from 'xai-api';

const assistant = GrokCodeFast1.create({
  model: 'grok-code-fast-1',
  apiKey: 'YOUR_API_KEY',
});

async function generatePythonCode(prompt: string) {
  const response = await assistant.codeCompletion({
    language: 'python',
    prompt: prompt,
  });
  console.log(response.code);
}

generatePythonCode("Function to reverse a string");

Comparison with Other Models

vs. Grok 4: Grok Code Fast 1 prioritizes significantly higher speed and cost efficiency for coding workflows, trading some general reasoning and tool-use sophistication. Grok 4 is better suited for complex AGI-style reasoning and broader tool integration beyond coding.

vs. Claude 4 Opus: While Claude excels in language safety and nuanced instruction following, Grok Code Fast 1 delivers faster, structured agentic coding with clear, visible reasoning traces.

vs. GPT-4o: GPT-4o leads in multimodal capabilities and browsing features. In contrast, Grok Code Fast 1 is sharply focused on coding speed, throughput, and agentic tool-enabled workflows.

Grok Code Fast 1 Token Throughput Comparison
Grok Code Fast 1’s clear dominance in token throughput among AI coding agents in VS Code underscores its design focus on speed and cost-effectiveness, prioritizing core coding functions over broader multimodal features.

Limitations

  • 🚫 Text-Only Modality: Currently supports only text input/output; no vision, audio, or other multimodal capabilities.
  • Coding-Specific Reasoning: Lacks built-in reasoning beyond practical tool-assisted code generation tasks.
  • 📍 Regional Availability: Available on-demand only in selected US regions; dedicated server mode is not yet supported.
  • 📉 No Streaming or Offline Support: Does not support streaming outputs or offline/local inference.

Frequently Asked Questions (FAQ)

Q: What makes Grok Code Fast 1 stand out from other AI coding assistants?

A: Grok Code Fast 1 is uniquely optimized for speed, cost-efficiency, and agentic workflows, particularly excelling in multi-step coding operations across popular languages like TypeScript, Python, and Java. It also provides transparent, traceable reasoning outputs.

Q: Which programming languages does Grok Code Fast 1 support?

A: It is proficient in a broad range of modern programming languages, including TypeScript, Python, Java, Rust, C++, and Go, making it versatile for diverse software development needs.

Q: Can Grok Code Fast 1 handle large codebases?

A: Yes, it features massive long-context handling, enabling it to process entire codebases or multi-file projects effectively without losing coherence, which is crucial for large-scale development.

Q: What are the primary limitations of Grok Code Fast 1?

A: Its current limitations include text-only input/output (no multimodal features), reasoning focused solely on coding tasks, availability restricted to selected US regions, and no support for streaming outputs or offline inference.

Q: Is Grok Code Fast 1 suitable for CI/CD pipeline integration?

A: Absolutely. Its design, focusing on high throughput and cost efficiency, makes it an ideal candidate for integration into CI/CD pipelines, supporting automated coding tasks and system integrations.

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