Claude Code vs Codex CLI vs Gemini CLI β Terminal AI Tools Compared (2026)
Update (May 20, 2026): Google has replaced Gemini CLI with Antigravity 2.0 β a new CLI + desktop app + SDK powered by Gemini 3.5 Flash. The comparison below still applies to the toolβs capabilities, but the branding and model have changed. See our updated Antigravity 2.0 vs Claude Code vs Codex CLI comparison.
Terminal-based AI coding agents let you describe what you want and the AI writes, edits, and runs code directly in your project. Three major players dominate this space: Claude Code (Anthropic), Codex CLI (OpenAI), and Gemini CLI (Google). Hereβs how they compare.
Quick comparison
| Claude Code | Codex CLI | Gemini CLI | |
|---|---|---|---|
| Maker | Anthropic | OpenAI | |
| Model | Claude Sonnet/Opus | GPT-5.4/Mini | Gemini 2.5 Pro/Flash |
| Price | Pro sub ($20/mo) | Plus sub ($20/mo) | Pro sub ($20/mo) |
| API option | Yes (pay per token) | Yes (pay per token) | Yes (Vertex AI) |
| Open source | β | β | β |
| Sandbox | β | β | β |
| YOLO mode | --dangerously-skip-permissions | --dangerously-bypass-approvals-and-sandbox | --yolo |
All three cost the same with a subscription ($20/month) and all three can also use API keys for pay-per-token billing.
Claude Code
Anthropicβs terminal agent. Uses Claude Sonnet 4.6 (default) or Opus 4.6 (premium). Known for the highest code quality and best understanding of complex codebases.
Install and run
npm install -g @anthropic-ai/claude-code
claude # Interactive mode
claude -p "Add error handling to all API routes" --print # One-shot
Strengths
- Best code quality β Claude consistently produces the cleanest, most idiomatic code
- Deep codebase understanding β reads and understands large projects well
- Careful by default β asks for permission before making changes
- JSON output mode β useful for automation:
--output-format json
Weaknesses
- Rate limited on Pro β Sonnet sessions last ~44 min per 5-hour window
- No sandbox β runs commands directly on your system
- Slower than Codex β more thoughtful but takes longer per task
Best for
Complex refactoring, architecture decisions, code review. When quality matters more than speed.
For a deeper look, see our Claude Code vs Cursor comparison.
Codex CLI
OpenAIβs terminal agent. Uses GPT-5.4 (full) or GPT-5.1 Mini (fast). The most feature-rich of the three with built-in sandboxing.
Install and run
npm install -g @openai/codex
codex login # Authenticate with ChatGPT account
codex # Interactive mode
codex exec "Add unit tests for the auth module" # One-shot
Strengths
- Sandboxed execution β commands run in a sandbox by default, preventing accidental damage
- Generous rate limits β GPT-5.4 gets ~4 hours per 5-hour window on Plus
- Fast Mini model β GPT-5.1 Mini is 3-5x cheaper from quota, great for quick tasks
- Web search β can search the web for documentation and examples
Weaknesses
- Code quality slightly below Claude β good but not as clean
- OpenAI ecosystem lock-in β only works with OpenAI models
- Newer, less mature β occasional rough edges
Best for
High-volume coding sessions where you need many changes fast. The sandbox makes it safer for automated workflows.
Gemini CLI
Googleβs terminal agent. Uses Gemini 2.5 Pro (premium) or 2.5 Flash (fast). The newest of the three, with strong multimodal capabilities.
Install and run
npm install -g @google/gemini-cli
gemini # Interactive mode (requires auth)
echo "Explain this code" | gemini --yolo -m gemini-2.5-flash # One-shot
Strengths
- Multimodal β can process images alongside code (screenshots of bugs, UI mockups)
- Long context β handles very large files and codebases
- Flash model β Gemini 2.5 Flash is fast and has a separate quota from Pro
- JSON output β
--output-format jsonfor automation
Weaknesses
- Rate limits are strict β Pro quota exhausts in ~30 min of heavy use
- Auth complexity β requires Google Cloud auth or OAuth, not just an API key
- Newer, less polished β the CLI experience isnβt as smooth as Claude or Codex
Best for
Projects involving visual elements (UI work, design implementation). The multimodal capability is unique among terminal tools.
Feature comparison
| Feature | Claude Code | Codex CLI | Gemini CLI |
|---|---|---|---|
| File editing | β | β | β |
| Terminal commands | β | β (sandboxed) | β |
| Web search | β | β | β |
| Image input | β | β | β |
| Multi-file edits | β | β | β |
| Git integration | Manual | Manual | Manual |
| Custom system prompt | Via CLAUDE.md | Via config | Via prompt |
| Streaming output | β | β | β |
| JSON output | β | β | β |
Rate limits compared
On $20/month subscriptions:
| Claude Code | Codex CLI | Gemini CLI | |
|---|---|---|---|
| Premium model | ~44 min/5h (Sonnet) | ~4h/5h (GPT-5.4) | ~30 min/day (Pro) |
| Fast model | ~43 min/5h (Haiku) | ~8h/5h (Mini) | ~5.7h/day (Flash) |
| Shared quota? | Yes (all models) | Yes (all models) | No (separate per model) |
Codex CLI is the most generous. Claude Code and Gemini CLI hit limits faster. Geminiβs advantage is that Pro and Flash have separate quotas β you can exhaust Pro and still use Flash.
Automation comparison
All three support non-interactive mode for scripting:
# Claude Code
claude --model sonnet --dangerously-skip-permissions \
--output-format json -p "Fix all TypeScript errors" --print
# Codex CLI
codex exec --dangerously-bypass-approvals-and-sandbox \
-m gpt-5.1-codex-mini "Fix all TypeScript errors"
# Gemini CLI
echo "Fix all TypeScript errors" | gemini --yolo \
-m gemini-2.5-flash --output-format json
For automated workflows (CI/CD, batch processing), Codex CLIβs sandbox makes it the safest choice. Claude Codeβs JSON output is the most structured.
Which should you pick?
Pick Claude Code if:
- Code quality is your top priority
- Youβre doing complex refactoring or architecture work
- You want the most thoughtful, careful AI assistant
Pick Codex CLI if:
- You need the most coding time per day (best rate limits)
- Safety matters (sandboxed execution)
- You want web search integrated
Pick Gemini CLI if:
- You work with visual content (UI, design)
- You need multimodal input
- You want separate Pro/Flash quotas
Use multiple: Many developers use Claude for complex tasks and Codex Mini for quick edits. The subscription cost is the same ($20/mo each), so pick based on your primary use case.
What about open-source alternatives?
OpenCode is the open-source alternative that works with any model β including local models via Ollama. Itβs free, model-agnostic, and fully private. The tradeoff is less polish and no built-in sandbox.
For IDE-based alternatives, see our GitHub Copilot vs Cursor comparison and best AI coding tools ranking.
FAQ
Which terminal AI coding tool is best?
Claude Code produces the highest quality code and is best for complex refactoring. Codex CLI has the most generous rate limits and built-in sandboxing, making it best for high-volume daily use. Gemini CLI is best for multimodal work involving screenshots and UI. Thereβs no single winner β it depends on your priority.
Is Gemini CLI free?
Gemini CLI requires a Google AI subscription ($20/month) or Vertex AI API access (pay per token). Thereβs no permanently free tier for heavy use. However, Google occasionally offers free credits and the Flash model quota is more generous than the Pro model quota.
Can I use all three?
Yes. Many developers use multiple terminal AI tools. Each costs $20/month with a subscription, or you can use API keys for pay-per-token billing. A common setup is Claude Code for complex tasks, Codex CLI Mini for quick edits, and Gemini CLI for UI-related work.
Related: AI Coding Tools Pricing