Head-to-Head Comparison
OpenAI CodexvsDevin AI
Compare OpenAI Codex with Devin AI to determine which tool better fits your AI development workflow.
OpenAI Codex
Code Generation Model • Intermediate
Foundation model powering GitHub Copilot with natural language to code translation and CLI tools
Learning Time
2-20 hours depending on usage
Popularity
96%
Top Advantages:
Powers GitHub Copilot ecosystem
Massive context handling capabilities
Multi-threaded task processing
Devin AI
Autonomous Agent • Advanced
Autonomous AI software engineer with agent-native IDE and interactive planning capabilities
Learning Time
1-2 months to proficiency
Popularity
67%
Top Advantages:
13.86% SWE-bench issue resolution rate
Agent-native IDE with planning boards
Autonomous Docker and deployment handling
Head-to-Head Comparison
| Criteria | Codex | Winner | Devin |
|---|---|---|---|
| Popularity | 96% | 67% | |
| Learning Curve | 2-20 hours depending on usage | 1-2 months to proficiency | |
| Pricing | $1.50/1M input tokens, $6/1M output tokens | Similar | $20/month Core (9 ACUs), Enterprise custom |
| Category | Code Generation Model | Different | Autonomous Agent |
When to Choose Which Tool
Choose Codex When:
- You need code generation model capabilities
- Your team prefers intermediate complexity tools
- Budget allows for: $1.50/1M input tokens, $6/1M output tokens
Choose Devin When:
- You need autonomous agent capabilities
- Your team prefers advanced complexity tools
- Budget allows for: $20/month Core (9 ACUs), Enterprise custom
Bottom Line
Codex has higher industry adoption (96% vs 67%), but Devin might be better for specific autonomous agent needs.
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Master Both Codex & Devin
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