Devin

Autonomous engineering agent for backlog task delegation

OpenAI Codex

Multi-agent system for complete engineering workflow automation

Devin vs OpenAI Codex (2026): Which Is Better?

Devin specializes in autonomous backlog task execution with deep integration into engineering workflows like Slack, Linear, Jira, and GitHub. OpenAI Codex provides a broader multi-agent system for complete engineering workflows with extensive platform support across Mac, Windows, Linux, and multiple development environments.

Visit Devin →Visit OpenAI Codex →

Decision Shortcut

If you want autonomous backlog task delegation → Devin

If you want complete engineering workflow automation → OpenAI Codex

If you want always-on background automation → OpenAI Codex

Find Your Fit

Audience

Best fit

OpenAI Codex offers a free plan and broader platform support, making it more accessible for newcomers to AI-assisted development.

OpenAI Codex provides a free tier and flexible platform support across personal development environments without workflow constraints.

OpenAI Codex offers complete engineering workflow automation with platform flexibility better suited to solo development setups.

OpenAI Codex provides a free plan and educational accessibility across multiple platforms without requiring enterprise workflow tools.

OpenAI Codex offers a free tier and broader automation capabilities without requiring specific engineering tool integrations.

Neither tool is specifically designed for marketing workflows, both focus on engineering and development tasks.

Devin provides deeper codebase learning and persistent tribal knowledge retention specifically designed for experienced engineering workflows.

Both tools target enterprise engineering teams but neither provides clear security certification or compliance advantages over the other.

Scorecard

1Devin

1Both

3OpenAI Codex

The scorecard shows Devin leading in workflow integration for established engineering teams, while OpenAI Codex dominates platform support and audience accessibility. This suggests Devin serves teams with specific toolchain requirements, while OpenAI Codex appeals to broader development scenarios.

Dimension

Winner

OpenAI Codex offers a free plan while Devin is paid-only starting at $20/mo.

Both offer comprehensive autonomous execution capabilities with different specializations in workflow integration versus platform breadth.

OpenAI Codex provides a free tier and broader platform support at the same $20/mo starting price as Devin's paid-only model.

OpenAI Codex wins 5 of 8 audience types vs Devin's 1, with 2 ties.

Devin offers deeper integration with established engineering team workflows through Slack, Linear, Jira, and GitHub connections.

Full Comparison

At a Glance

Devin

AI Agents

OpenAI Codex

AI Agents

Starting price

$20/mo

Free tier

—

Free Plan

Pricing model

Paid Only

Freemium

Best for

Engineering teams that want to delegate backlog tasks — migrations, refactors, bug fixes, and new feature work — to an autonomous agent integrated directly into Slack, Linear, Jira, and GitHub workflows.

Software engineers and development teams delegating complete engineering workflows — feature builds, refactors, code review, and PR submission — to an autonomous multi-agent system; teams wanting always-on automation for issue triage, CI/CD monitoring, and routine development tasks

Platforms

Web, API

Mac, Windows, Linux, Web, Terminal, VS Code Extension

Pricing

Devin

3 plans

OpenAI Codex

7 plans

Core

$20/mo (pay-as-you-go, starting at $20)

Team

$500/mo

Enterprise

Free

$8/month

Plus

$20/month

Pro $100

$100/month

Pro $200

$200/month

Business

$25/seat/month, billed annually ($30/seat/month billed monthly)

Enterprise

Free

Pricing verified recently. Always confirm on the vendor's site.

Key Differences

- Devin focuses on sub-three-hour backlog tasks while OpenAI Codex handles complete engineering workflows

- Devin integrates directly with Slack, Linear, Jira, and GitHub while OpenAI Codex supports multiple platforms and IDEs

- Devin offers persistent codebase learning while OpenAI Codex provides always-on background automation

- OpenAI Codex includes AI code review functionality while Devin emphasizes autonomous PR creation

- Devin uses ACU-based pricing while OpenAI Codex bundles pricing with ChatGPT plans

When to Choose Each Tool

Choose Devin if…

- Engineering teams with established Slack, Linear, Jira, and GitHub workflows

- Teams needing autonomous execution of specific backlog tasks like migrations and refactors

- Organizations requiring persistent codebase knowledge retention

- Teams focused on delegating sub-three-hour development tasks

Choose OpenAI Codex if…

- Development teams needing complete end-to-end engineering workflow automation

- Teams requiring always-on background automation for issue triage and CI/CD monitoring

- Organizations needing extensive platform support across multiple operating systems

- Teams wanting comprehensive AI code review capabilities

Features

Devin

- Autonomous Code Execution & PR Creation

- Parallel Multi-Agent Orchestration (MultiDevin)

- Autonomous Computer Use & Visual Testing

OpenAI Codex

- End-to-End Engineering Tasks

- Multi-Agent Command Centre

- Skills

Pros & Cons

Devin — Pros

- Full end-to-end autonomous execution

- Deep integration with existing engineering workflows

- Persistent codebase learning and tribal knowledge retention

Devin — Cons

- ACU-based pricing lacks predictability for variable workloads

- Task success rate is scoped to sub-three-hour tasks

- Full capability requires Enterprise plan with custom pricing

OpenAI Codex — Pros

- End-to-End Autonomous Task Completion

- Always-On Background Automation

- Extensive Enterprise Compliance Portfolio

OpenAI Codex — Cons

- Codex App Currently on Waitlist

- Significant Price Jump for Priority-Speed Agent

- Codex Pricing Bundled in ChatGPT Plans

Final Verdict

Devin excels at autonomous backlog task execution with deep workflow integration for teams using specific engineering tools. OpenAI Codex provides broader multi-agent automation across complete engineering workflows with extensive platform flexibility. The choice centers on whether you need focused backlog automation or comprehensive workflow coverage.

Visit Devin →Visit OpenAI Codex →

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