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OpenAI Codex

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The autonomous software engineering agent that writes, tests, and ships code — in parallel

83

Overall score

45

Heat score

Pricing

ChatGPT Plus$20/month
ChatGPT Pro$200/month
ChatGPT Business$30/user/month
ChatGPT EnterpriseCustom — contact sales
API — codex-mini-latest$1.50/M input tokens — $6.00/M output tokens — 75% prompt caching discount
API — GPT-5.2-Codex$1.25/M input tokens — $10.00/M output tokens

Technical Specs

Inputs

Natural Language Task Description, GitHub Repository, Codebase Context, AGENTS.md Instructions, Bug Report, Feature Spec, Pull Request, Screenshot, CI Pipeline Log

Outputs

Written Code, Edited Files, Pull Request, Bug Fix, Test Suite, Codebase Explanation, Documentation, Refactored Code, Pipeline Autofix, Implementation Plan

AI Type

Agentic AI

Model Architecture

GPT-style Decoder

Daily Prompts

N/A

Context Length

N/A

Output Quality

Accuracy

95%

Content

93%

Reasoning

96%

Company Profile

Company

OpenAI

Founded

2015

HQ

San Francisco, California, USA

Employees

3.5K

Total Raised / Total Funding

$11.3B

Revenue

$3.7B

Valuation

$157B

ARR

N/A

CEO

Sam Altman

Overview

Estimated Paid Users

1M

Current estimate

Total Earnings Till Date

N/A

No monthly delta yet

Market Share

8.4%

Current share

Average Session

90

Per active user

Hallucination Rate

5%

Model quality signal

Growth Rate

+21.43%

Monthly active users

Burn Rate

N/A

Total expenses / years active

Paid User Gain

+33.33%

Monthly paid user trend

No demo video available yet.

Platforms

AD

Profit Analysis

$0

Total Loss

$0

Total Profit

$0

Performance Metrics

Accuracy

95%

Context

93%

Reasoning

96%

Safety

90%

Benchmarks

HumanEval

28.8%

SWE-bench Verified

72.1%

SWE-bench Verified

74.9%

OpenAI Codex Models

Codex (code-davinci-002)

Type: Code

Description: Original Codex model. GPT-3 descendant trained on 159 GB of Python code from 54 million public GitHub repositories. Supported 12+ programming languages. Powered GitHub Copilot's first technical preview. Achieved HumanEval pass@1 of 28.8% (12B parameter version). Deprecated March 2023.

Architecture: GPT-style Decoder

codex-1

Type: Reasoning

Description: First model of the 2025 Codex agent era. A version of OpenAI o3 fine-tuned for software engineering via reinforcement learning on real-world coding tasks across diverse environments. Generates code that mirrors human style and PR conventions. Scored 72.1% on SWE-bench Verified (83.86% at pass@8). Designed to autonomously run tests and iterate until passing results are achieved.

Architecture: GPT-style Decoder

codex-mini-latest

Type: Code

Description: Smaller, faster variant based on o4-mini, designed for Codex CLI and low-latency code Q&A and editing tasks. Default model in Codex CLI. Available on the Responses API at $1.50/1M input tokens and $6.00/1M output tokens with 75% prompt caching discount. Snapshot updated regularly.

Architecture: GPT-style Decoder

GPT-5.2-Codex

Type: Reasoning

Description: Major Codex model upgrade that doubled overall Codex usage following launch. Improved ability to hold large amounts of project data in memory and reason autonomously over extended, multi-file engineering tasks. Described by Codex product lead Thibault Sottiaux as significantly more reliable for autonomous long-running work.

Architecture: GPT-style Decoder

GPT-5.3-Codex

Type: Reasoning

Description: Current flagship Codex model. Tripled weekly active users to 1.6 million at launch. Most capable agentic coding model in the Codex lineup as of early 2026, running 25% faster than GPT-5.2-Codex for Codex users. Deployed by enterprise customers including Cisco, Nvidia, Ramp, and Rakuten.

Architecture: GPT-style Decoder

Funding Rounds & Investors

Total Funding

$11.3B

Rounds

1

Funding Update

N/A

May 2025

OpenAI Codex is not an independently funded company or startup. It is a product line developed and wholly owned by OpenAI, Inc. OpenAI has raised over $57.9 billion in total funding across all rounds (with a $300B+ valuation as of 2025), which funds all OpenAI product development including Codex. There are no standalone Codex funding rounds to report. The Codex CLI is open source (MIT license) on GitHub. The cloud Codex agent runs on OpenAI infrastructure and is monetized through ChatGPT subscription plans (Plus at $20/month, Pro at $200/month, Business, Enterprise, Edu) and via API token billing (codex-mini-latest at $1.50/1M input, $6.00/1M output tokens).

Founders/Team

TS

Thibault Sottiaux

Head of Codex — OpenAI

WZ

Wojciech Zaremba

Co-Founder & Original Codex Lead — OpenAI

MC

Mark Chen

Chief Research Officer & Early Codex Researcher — OpenAI

Direct competitors

No direct competitors available.

Change Log / Major Updates

2026 · Feb 2

OpenAI launched the Codex desktop app for macOS — a multi-agent command center allowing developers to run parallel coding tasks in isolated agent threads organized by project. The app passed one million downloads in its first week. Integrated with Codex CLI and IDE extension session history. Worktree support allowed multiple agents to operate on the same repository without conflicts.

2026 · Feb 12

GPT-5.3-Codex launched as the most capable Codex model to date, tripling weekly active users to 1.6 million. GPT-5.3-Codex-Spark launched simultaneously as an ultra-fast, lower-latency variant powered by Cerebras hardware for real-time prototyping. OpenAI doubled rate limits across all paid tiers and opened Codex to Free and Go users during a limited promotional window.

2026 · Mar 1

OpenAI launched Codex Security, an application-security agent that builds a threat model of a repository, identifies vulnerabilities, and proposes fixes. In private beta since 2025; tested on 1.2 million commits over 30 days, identifying nearly 800 critical and 10,000+ high-severity issues in Chromium, OpenSSL, PHP, GOGS, and GnuTLS. Also announced acquisition of Python toolmaker Astral to deepen Codex's Python ecosystem integration.

Compliance, Integrations & Support

Industry: Software Development

Compliances: Not specified

Integrations: GitHub, VS Code, Codex CLI, OpenAI Responses API, OpenAI Agents SDK, MCP Protocol, ChatGPT, Azure OpenAI, Codex Autofix CI

Support:email, help center, developer docs, enterprise support, community forum

Target audience: Software Engineers, Senior Developers, Engineering Teams, DevOps Engineers, Enterprise Engineering Organizations, Open Source Maintainers, CTOs, AI Builders, Platform Engineers

Supported languages: English, Python, JavaScript, TypeScript, Java, C++, C#, Go, Rust, Ruby, PHP, Swift, Kotlin, Shell, SQL, HTML, CSS, YAML, JSON, Terraform

OpenAI Codex Acquisitions

AS

Astral

March 1, 2026

N/A

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Reviews & Rating

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Accuracy

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Ease of Use

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Security

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More About OpenAI Codex

In the fall of 2024, OpenAI leadership declared building an autonomous software engineer the company's top-line goal for 2025. The directive came from the top: Sam Altman and Greg Brockman believed OpenAI itself should have an AI working alongside every engineering team, not as a suggestion engine, but as an independent contributor capable of receiving a task, working on it for up to 30 minutes in an isolated sandbox, and opening a pull request when done. The result, launched May 16, 2025, was Codex — powered by codex-1, a version of the o3 reasoning model fine-tuned on real-world software engineering tasks using reinforcement learning, optimized to generate code that mirrors human style and pull request preferences.

The adoption curve was unlike anything OpenAI had seen for a developer product. Usage grew 5x between January and February 2026. A million developers now use it every week. The Codex desktop app, launched February 2026, was described by Sam Altman as "the most loved internal product we've ever had." What distinguishes Codex from interactive coding assistants like Copilot or Cursor is its asynchronous, multi-agent architecture: where those tools wait for you to prompt them, Codex works independently. You describe ten tasks in the morning — fix this bug, refactor that module, write tests for this function, answer why this test is failing — and Codex dispatches parallel cloud agents to each one simultaneously, working in separate sandboxed environments with preloaded copies of your repository. OpenAI engineers use it for exactly this: triaging on-call issues, offloading repetitive tasks like renaming and refactoring, writing tests, and planning tasks at the start of the day so they can focus on architecture while Codex handles execution. The "30/70 rule" has emerged inside OpenAI: some engineers now spend 30% of their time directing agents and 70% reviewing their output — an inversion of the traditional coding ratio that points toward where software engineering is going. By February 2026, Codex writes 90%+ of its own application code — making it one of the first production software systems substantially building itself.

OpenAI Codex FAQ's

What is OpenAI Codex and how is it different from the original 2021 Codex model?

The original OpenAI Codex was a GPT-3-based code generation model released in 2021 that powered the first version of GitHub Copilot. It was deprecated in March 2023. The current Codex — launched in May 2025 — is an entirely different product: a cloud-based autonomous software engineering agent powered by codex-1 (a version of o3 optimized for coding) and later GPT-5.2 and GPT-5.3 Codex models. It does not just suggest code — it autonomously completes entire tasks in sandboxed cloud environments and opens pull requests for review.

How do I get access to Codex?

Codex is bundled into ChatGPT subscriptions — there is no separate Codex subscription. It is available to ChatGPT Plus ($20/month), Pro ($200/month), Business, Enterprise, and Edu plan subscribers. For a limited promotional period, OpenAI also opened Codex to Free and Go users. Developers can also access Codex capabilities via the API using the codex-mini-latest model, billed at $1.50 per 1M input tokens and $6.00 per 1M output tokens with a 75% caching discount.

What interfaces can I use Codex through?

Codex is available across four surfaces: (1) ChatGPT web app — the cloud agent that executes tasks asynchronously in sandbox environments; (2) Codex CLI — an open-source, Rust-built command-line tool for local terminal-based coding; (3) IDE Extension — integrates Codex into VS Code, JetBrains, and Xcode via the Codex SDK; and (4) Codex macOS Desktop App — launched February 2026 as a multi-agent command center with parallel task management. A Windows app was in development as of March 2026.

How does Codex work differently from GitHub Copilot or Cursor?

Copilot and Cursor work in real-time, offering inline autocomplete and suggestions as you type. Codex works asynchronously — you delegate a full task (e.g., 'implement user authentication') and Codex executes it independently in a sandboxed cloud environment: reading files, running tests, and proposing a pull request when done. This delegation model makes Codex better for larger, multi-file tasks but unsuitable for real-time pair programming where immediate feedback matters.

What models power Codex?

Codex launched in May 2025 powered by codex-1, a version of OpenAI o3 optimized for software engineering via reinforcement learning on real-world coding tasks. The CLI defaulted to codex-mini-latest (a faster o4-mini variant). In December 2025, GPT-5.2-Codex launched, doubling overall usage. In February 2026, GPT-5.3-Codex became the flagship model, tripling weekly active users. GPT-5.3-Codex-Spark — a Cerebras-powered ultra-fast variant — launched in research preview for Pro users the same month.