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OpenAI Codex

An AI model trained to translate natural language into code, powering tools like GitHub Copilot.

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Categories

Coding Productivity

Best For

Data Scientists Developers Students

Pricing

Platform

API

Developer

OpenAI

Overall Rating

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About OpenAI Codex

OpenAI Codex is a descendant of GPT-3 explicitly trained on billions of lines of code from GitHub and other public sources. It is designed to interpret natural language commands and generate working code in over a dozen programming languages, including Python, JavaScript, Go, and Ruby.

Codex serves as the engine behind tools like GitHub Copilot, assisting developers by auto-completing lines, writing entire functions, or even refactoring code based on comments. It understands both programming logic and human language, allowing it to bridge the gap between intent and syntax.

While originally a standalone beta API, its capabilities have largely been integrated into OpenAI's newer GPT-3.5 and GPT-4 models, which offer even stronger coding performance.

Key Features

  1. Translates natural language to code,
  2. Proficient in Python, JavaScript, TypeScript, and more,
  3. Context-aware code completion,
  4. Ability to explain code in plain English,
  5. Powers GitHub Copilot and other dev tools

Use Cases

  1. Auto-completing code while typing,
  2. Generating SQL queries from text descriptions,
  3. Refactoring and commenting legacy code

How to Use

  1. Access via the OpenAI API (Chat Completions).,
  2. Provide a system prompt describing the coding task.,
  3. Input natural language instructions to receive code output.

Pros

  1. Drastically speeds up development time,
  2. Reduces syntax errors,
  3. Helps beginners learn by example

Cons

  1. Can generate insecure or buggy code if not reviewed,
  2. Standalone Codex API is deprecated in favor of GPT-4

Tags

AI Code API Automation Model Programming Python

Support & Contact

Latest Updates

Aug 23, 2026

OpenAI Codex: Pricing and Safety Updates

  • API and credit pricing for the GPT-5.6 Sol model has been reduced by over 20% for the next three months.
  • A new feature called Private Safety Processing is being previewed to improve safety systems without OpenAI staff accessing user content.
Aug 09, 2026

OpenAI Codex: Updates to ChatGPT intelligence and voice capabilities

  • ChatGPT Plus and Pro users now have access to GPT-5.6 Sol, which provides improved factual and reasoning capabilities for both instant and deep-dive tasks.
  • Free and Go users gain access to unlimited text-based chats using the GPT-5.6 Luna model starting tomorrow.
  • The GPT-Live voice system has been rebuilt to support continuous audio streaming, allowing the model to listen and speak simultaneously without interrupting the flow of conversation
Jul 19, 2026

OpenAI Codex: New Model Capabilities and Security Tools

  • Launched GPT-5.6 Sol, a new model with enhanced capabilities for identifying, validating, and fixing vulnerabilities in code.
  • Released GPT-Red, an internal automated tool designed to detect prompt injection vulnerabilities in AI models before they are deployed.
  • Introduced an update to GPT-Live that allows the model to manage multiple active tasks simultaneously, such as checking travel details and weather while building an itinerary.
Jul 14, 2026

OpenAI Codex: GPT-5.6 Model Family and ChatGPT Enhancements

  • Released the GPT-5.6 model family, including Sol, Terra, and Luna, across ChatGPT, Codex, and API integrations with improved performance and lower costs.
  • Launched ChatGPT Work, a new agent designed to perform tasks across apps and files to complete projects independently.
  • Introduced GPT-Live, a new voice model for natural interaction, now available on ChatGPT for Go, Plus, and Pro plans with a phased rollout for free users.
  • Updated the Bio Bug Bounty program into an ongoing private initiative and increased reward payouts to $50,000 for identifying critical safety vulnerabilities.
Jul 04, 2026

OpenAI Codex: New Benchmark Release

  • Introduced GeneBench-Pro, a new research benchmark designed to test AI agents.
  • The tool evaluates how well agents handle complex biological data, select analysis paths, and make independent research decisions.

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