Head-to-Head Comparison

Sourcegraph CodyvsOpenAI Codex

Compare Sourcegraph Cody with OpenAI Codex to determine which tool better fits your AI development workflow.

Sourcegraph Cody

Enterprise AssistantIntermediate

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

OpenAI Codex

Code Generation ModelIntermediate

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

Head-to-Head Comparison

CriteriaCodyWinnerCodex
Popularity72%96%
Learning Curve2-4 weeks to proficiency2-20 hours depending on usage
Pricing$9/month Pro, $59/user/month EnterpriseSimilar$1.50/1M input tokens, $6/1M output tokens
CategoryEnterprise AssistantDifferentCode Generation Model

When to Choose Which Tool

Choose Cody When:

  • You need enterprise assistant capabilities
  • Your team prefers intermediate complexity tools
  • Budget allows for: $9/month Pro, $59/user/month Enterprise

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

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 Cody & Codex

Experience both Cody and Codex in our vibe coding retreats. Make an informed decision with hands-on comparison.

v0
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Claude Code
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