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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',
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",
input="Write a one-sentence bedtime story about a unicorn."
)
print(response.output_text)
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Product Detail
GPT-5.1 Codex API: Elevating Software Engineering with Advanced AI
GPT-5.1 Codex is OpenAI’s state-of-the-art AI model, purpose-built to revolutionize software engineering and coding workflows. This powerful model is meticulously crafted to accelerate programming tasks through sophisticated reasoning, efficient code generation, precise debugging, and streamlined refactoring. Designed for versatility, it supports multimodal inputs and offers seamless integration into leading developer environments, making it an indispensable tool for modern software development.
✨ Technical Specifications
- Base Architecture: GPT-5.1 Transformer model
- Context Window: 400K tokens for extensive code analysis
- Input Types: Text prompts, code snippets, and even images/screenshots for UI development
- Output: High-quality, runnable code across multiple programming languages
🚀 Performance Benchmarks
- Code Generation Accuracy: Achieves over 90% correct functional implementation in benchmark programming challenges.
- Bug Detection Rate: Identifies >85% of critical flaws during structured code review tasks.
- Multi-language Fluency: Demonstrates competence across 15+ major programming languages with minimal syntax errors.
💡 Key Features of GPT-5.1 Codex
- High-Precision Code Generation: Produces clean, well-structured code that precisely aligns with developer instructions.
- Dynamic Reasoning Effort: Intelligently adjusts computational effort for faster small tasks or deeper analysis on large codebases.
- Multimodal Inputs: Ability to interpret images or screenshots, greatly assisting in UI design and development.
- Advanced Code Review: Detects critical flaws through in-depth dependency and behavior analysis against tests.
- Environment Automation: Seamlessly integrates with development environments for tasks like search, dependency installation, and setup.
💲 GPT-5.1 API Pricing
- Input: $1.3125 per 1M tokens
- Cached Input: $0.13125 per 1M tokens
- Output: $10.50 per 1M tokens
✅ Practical Use Cases for GPT-5.1 Codex
- Developing new software features from scratch with guided assistance.
- Efficiently debugging and fixing complex code issues.
- Large-scale codebase refactoring and performance optimization.
- Automating the writing of unit and integration tests based on specifications.
- Automating UI component development directly from image inputs.
- Conducting thorough code reviews that validate logic and detect hidden bugs.
- Enhancing continuous integration workflows with intelligent, contextual code suggestions.
📊 Comparison with Other Models
vs GPT-5.1: GPT-5.1 Codex is a specialized variant of GPT-5.1, explicitly engineered for coding workflows. It offers advanced code generation, debugging, refactoring, and code review capabilities, including multimodal inputs for UI tasks and dynamic reasoning effort control.
vs Code Llama (Meta): While Code Llama provides robust open-source alternatives for code generation, GPT-5.1 Codex truly stands out in multimodal tasks (e.g., interpreting UI screenshots) and boasts superior integration with popular IDEs and developer tools.
vs Claude Code (Anthropic): Claude Code brings unique features for multi-step instructions and natural language interface improvements. However, GPT-5.1 Codex offers more powerful long-context handling and better cost efficiency in token usage, making it the preferred choice for large-scale engineering projects and continuous integration processes.
🔗 Further Resources
For detailed API references and code samples, refer to the Original API Documentation for GPT-5.1 Codex.
Frequently Asked Questions about GPT-5.1 Codex
A: GPT-5.1 Codex is OpenAI's advanced AI model specifically optimized for software engineering and coding workflows. Its core purpose is to accelerate programming tasks through intelligent code generation, debugging, refactoring, and comprehensive code review.
A: It distinguishes itself with its multimodal input support (interpreting images/screenshots for UI development), dynamic reasoning effort, extensive 400K context window, and superior integration with developer environments, making it highly effective for complex engineering projects.
A: GPT-5.1 Codex boasts over 90% accuracy in correct functional implementation for code generation and identifies more than 85% of critical flaws during structured code review, ensuring high reliability and quality.
A: Yes, a key feature is its multimodal input capability, allowing it to interpret images or screenshots to assist in UI design and development, automating component generation and accelerating the design-to-code process.
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