Claude Code vs Codex vs Gemini — When to Use Which
The AI coding tool landscape in 2025-2026 is overwhelming. Claude Code, Codex CLI, Gemini CLI — which one should you use?
The answer: don’t choose. Use all three.
Head-to-Head Comparison
Section titled “Head-to-Head Comparison”Claude Code (Anthropic)
Section titled “Claude Code (Anthropic)”Strengths:
- Best-in-class code understanding and reasoning
- Large context window handles big codebases well
- Excellent at multi-step task orchestration
- Hook system enables automation and state persistence
Weaknesses:
- Frontend UI generation isn’t as refined as Gemini
- Bulk API design not as specialized as Codex
- Handling full-stack alone means compromises everywhere
Best for: Orchestration, code review, complex reasoning, final code writes
Codex CLI (OpenAI)
Section titled “Codex CLI (OpenAI)”Strengths:
- Deep backend logic analysis
- Practical API design and database schema suggestions
- Strong understanding of Python, Go, Java
Weaknesses:
- Frontend CSS/UI isn’t its strength
- Lacks Claude Code’s hook ecosystem
- Limited orchestration capability when used alone
Best for: Backend analysis, API design, business logic review
Gemini CLI (Google)
Section titled “Gemini CLI (Google)”Strengths:
- High-quality frontend UI/UX generation
- Smooth React/Vue/Svelte component generation
- Refined styling and interaction logic
- Multimodal understanding (can analyze screenshots)
Weaknesses:
- Complex backend logic falls behind Codex
- Limited ability to orchestrate large tasks independently
Best for: Frontend analysis, UI components, styling and interaction
Why Not Just Use One?
Section titled “Why Not Just Use One?”| Scenario | Claude Only | Claude + Codex + Gemini |
|---|---|---|
| Simple bug fix | ✅ Fine | Overkill |
| Full-stack feature | ⚠️ Mediocre | ✅ Best of each |
| Complex refactor | ⚠️ May miss things | ✅ Dual-model cross-review |
| Technical research | ⚠️ Single perspective | ✅ Multi-angle exploration |
| Code review | ⚠️ Blind spots | ✅ Independent reviews merged |
The CCG Solution
Section titled “The CCG Solution”CCG Workflow doesn’t make you switch between tools. It orchestrates automatically:
> /ccg:go refactor the payment module into a microservice architectureThe engine:
- Claude analyzes overall project architecture
- Codex deep-dives into backend API dependencies and data flow
- Gemini analyzes frontend call sites for the payment module
- Claude synthesizes both analyses into a refactoring plan
- You approve, Agent Teams implement in parallel
- Codex + Gemini independently cross-review the result
Security by design: Codex and Gemini have no file write access. They return patches only. Claude reviews before anything lands.
npx ccg-workflowPrerequisites: Node.js 20+ and Claude Code CLI. Codex CLI and Gemini CLI are optional — CCG auto-detects what’s available and adjusts strategies accordingly.
Without external models, CCG still works — strategies automatically degrade. With them installed, you get the full multi-model engine.
Practical Recommendations
Section titled “Practical Recommendations”- Daily coding: Just use
/ccg:go— the engine decides whether to invoke external models - Full-stack features: Install Codex + Gemini for dual-model parallel analysis
- Code review:
/ccg:go review this PRtriggers automatic dual-model cross-review - Technical research:
/ccg:go research Redis vs Memcached for our cache layerruns parallel exploration
No commands to memorize. No manual tool switching. Just describe what you want in plain language.
Related Guides
Section titled “Related Guides”- How to Use Multiple AI Models Together
- Claude Code vs Cursor vs Windsurf
- Antigravity CLI Getting Started
Installation guide: Quick Start | GitHub