Head-to-Head Comparison
OpenAI CodexvsSourcegraph Cody
Compare OpenAI Codex with Sourcegraph Cody 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
Sourcegraph Cody
Enterprise Assistant • Intermediate
Context-aware AI coding assistant with enterprise-grade LLM flexibility and code graph integration
Learning Time
2-4 weeks to proficiency
Popularity
72%
Top Advantages:
Multiple LLM support (GPT-4, Claude, Gemini)
Bring-Your-Own-LLM flexibility
Enterprise codegraph integration
Head-to-Head Comparison
| Criteria | Codex | Winner | Cody |
|---|---|---|---|
| Popularity | 96% | 72% | |
| Learning Curve | 2-20 hours depending on usage | 2-4 weeks to proficiency | |
| Pricing | $1.50/1M input tokens, $6/1M output tokens | Similar | $9/month Pro, $59/user/month Enterprise |
| Category | Code Generation Model | Different | Enterprise Assistant |
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 Cody When:
- You need enterprise assistant capabilities
- Your team prefers intermediate complexity tools
- Budget allows for: $9/month Pro, $59/user/month Enterprise
Bottom Line
Codex has higher industry adoption (96% vs 72%), but Cody might be better for specific enterprise assistant needs.
Compare both tools hands-on in our vibe coding retreats
Master Both Codex & Cody
Experience both Codex and Cody in our vibe coding retreats. Make an informed decision with hands-on comparison.
v0
UI Generation
Cursor
AI IDE
n8n
Workflow Automation
Claude Code
CLI Assistant
Prompt Engineering
Foundation Skill
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