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GPT-5.1 Codex Mini
Its advanced training and multimodal features enable seamless integration into development pipelines, boosting productivity and code quality.
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 response = await client.responses.create({
    model: 'openai/gpt-5-1-codex-mini',
    input: 'Write a one-sentence bedtime story about a unicorn.',
  });

  console.log(response.output_text);
};

main();

                                
                                        import os
from openai import OpenAI

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

response = client.responses.create(
    model="openai/gpt-5-1-codex-mini",
    input="Write a one-sentence bedtime story about a unicorn."
)

print(response.output_text)
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GPT-5.1 Codex Mini

Product Detail

GPT-5.1 Codex Mini: Your Essential AI for Coding

The GPT-5.1 Codex Mini stands out as a highly optimized, lightweight iteration of OpenAI's advanced GPT-5.1 series. It is meticulously engineered to supercharge coding workflows and provide indispensable assistance for software development. This model masterfully balances stellar performance with exceptional resource efficiency, making it the ideal choice for integration into demanding environments where swift, reliable code generation and minimal latency are paramount.

⚙️Technical Specifications

  • Model Type: Transformer-based language model, expertly specialized in code understanding and generation.
  • Context: 400K tokens, offering substantial capacity for complex tasks.
  • Training Data: Built upon an extensive corpus of programming code, comprehensive documentation, and in-depth software development discussions.
  • Supported Modalities: Seamlessly handles text input, code snippets, and even interpretable images for UI/UX visual assistance.

📈Performance Benchmarks

  • Code Completion Accuracy: Achieves over 85% accuracy on leading datasets like HumanEval and APPS, ensuring high-quality suggestions.
  • Reliability: Consistently maintains a high correctness rate across debugging and refactoring tasks, minimizing errors.
  • Multi-Task Efficiency: Capable of performing simultaneous code review, comment generation, and bug fixing with minimal latency.

Key Features

  • Optimized for Coding Tasks: Specifically tailored for code synthesis, robust debugging, efficient refactoring, and comprehensive documentation.
  • Steerable Behavior: Offers adjustable reasoning and output coherence through custom parameters, allowing fine-tuned control.
  • Multimodal Support: Unique ability to interpret images/screenshots, greatly aiding UI development and visual debugging processes.
  • Enhanced Steerability: Responds with precision to developer instructions, yielding cleaner and more exact code outputs.

💲GPT-5.1 API Pricing

  • Input: $0.2625 per 1M tokens
  • Cached Input: $0.02625 per 1M tokens
  • Output: $2.10 per 1M tokens

Versatile Use Cases for Developers

GPT-5.1 Codex Mini empowers developers across a wide array of applications:

  • Software Development: Provides invaluable assistance with code generation, intelligent editing, and insightful suggestions directly within Integrated Development Environments (IDEs).
  • Code Review & Refactoring: Automatically detects bugs, significantly improves code quality, and suggests industry best practices.
  • UI/UX Development: Interprets screenshots or graphical inputs to facilitate rapid prototyping and accelerate visual design iterations.
  • Educational Tools: Offers robust support for coding tutorials and generates automated, clear code explanations.

Code Sample Integration

Integrating GPT-5.1 Codex Mini into your projects is straightforward. For detailed API references and working examples, please consult the official documentation.

<!-- A functional code snippet would be placed here, demonstrating API interaction. -->

<!-- For full documentation and examples, visit: -->

<a href="https://docs.ai.cc/api-references/text-models-llm/openai/gpt-5-1-codex-mini" target="_blank" rel="nofollow" style="color: #007bff; text-decoration: none;">Official GPT-5.1 Codex Mini API Documentation</a>

How GPT-5.1 Codex Mini Compares to Other Models

VS GPT-5.1: GPT-5.1 Codex Mini is explicitly specialized for coding workflows, excelling in advanced code generation, debugging, refactoring, and code review. It uniquely supports multimodal inputs for UI work and dynamic reasoning effort control. In contrast, GPT-5.1 focuses on broader natural language understanding and general reasoning, offering a larger context window but less code-specific optimization.

VS GPT-5 Codex: The Codex Mini presents itself as a more compact and cost-effective solution, delivering faster response times and lower resource consumption. GPT-5 Codex, however, offers deeper reasoning capabilities and is designed to handle more complex engineering tasks with higher accuracy and a larger context window.

VS GPT-4: GPT-5.1 Codex Mini significantly improves coding task performance over GPT-4, showcasing superior steerability and specialized code understanding. While GPT-4 remains a strong performer in general natural language tasks, Codex Mini is engineered to outshine it in programming-specific applications.

Frequently Asked Questions (FAQ)

What is GPT-5.1 Codex Mini designed for?

GPT-5.1 Codex Mini is a lightweight, optimized version of OpenAI's GPT-5.1 series, specifically crafted for coding workflows and software development assistance, balancing performance with resource efficiency.

What are its key technical features?

It's a Transformer-based model specialized in code, with a 400K context, trained on extensive programming data, and supports text, code, and interpretable images for UI/UX aid.

How accurate is GPT-5.1 Codex Mini for code completion?

It achieves over 85% accuracy on popular code completion datasets such as HumanEval and APPS.

What makes it different from GPT-5.1?

Codex Mini is highly specialized for coding tasks, including multimodal inputs for UI and dynamic reasoning control, whereas GPT-5.1 focuses on broader natural language understanding with a larger context but less code specialization.

Can it assist with UI/UX development?

Yes, it offers multimodal support, allowing it to interpret images and screenshots for rapid prototyping and visual debugging in UI/UX development.

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