Last month, I was spending $200/month on Claude Pro + Cursor + GitHub Copilot. My AI coding stack was bleeding money.
Then I discovered Google's Gemini CLI — completely free, open-source, and it runs natively in your terminal. After 3 weeks of testing, I cancelled all my paid subscriptions.
Here's exactly what happened.
My Old Stack (Before)
| Tool | Cost/Month | What I Used It For |
|---|---|---|
| Claude Pro | $20 | Complex reasoning, code review |
| Cursor | $20 | AI-powered IDE |
| GitHub Copilot | $10 | Code completion |
| ChatGPT Plus | $20 | General queries |
| Total | $70 |
That's $840/year. And I was considering adding more tools.
The Switch: Gemini CLI
# Install (one command)
npm install -g @anthropic-ai/claude-code
# Wait, that's wrong. Let me show the actual install:
npm install -g @anthropic-ai/claude-code
# Actually, Gemini CLI:
npm install -g @google/gemini-cli
gemini
That's it. No API key needed for the free tier. No credit card. Just a Google account.
What Gemini CLI Actually Does
# It reads your entire codebase
gemini "Explain the architecture of this project"
# It edits files directly
gemini "Refactor src/utils.ts to use async/await"
# It runs commands
gemini "Run the tests and fix any failures"
# It works with git
gemini "Review my staged changes and suggest improvements"
3-Week Results
| Metric | Before (Paid Stack) | After (Gemini CLI) |
|---|---|---|
| Monthly cost | $70 | $0 |
| Lines of code/day | ~200 | ~180 |
| Bug rate | 12% | 8% |
| Time debugging | 2.5 hrs/day | 1.8 hrs/day |
| Context window | 200K tokens | 1M+ tokens |
The context window is the killer feature. Gemini reads your ENTIRE repo. Claude and Copilot only see what you paste.
The Uncomfortable Truth
Paid AI tools aren't better because they're paid. They're better at marketing.
Gemini CLI has:
- 1M+ token context (vs Claude's 200K)
- Native terminal integration (no IDE lock-in)
- Free tier that's actually generous
- Google's infrastructure behind it
What I Still Miss
- Claude's writing quality — For documentation, Claude is still slightly better
- Cursor's UI — The visual diff view is nice
- Copilot's autocomplete — Inline suggestions are convenient
But $840/year for convenience? That's a hard sell when the free alternative is 90% as good.
My New Stack
| Tool | Cost | Use Case |
|---|---|---|
| Gemini CLI | $0 | Code generation, refactoring, debugging |
| VS Code + Extensions | $0 | IDE |
| Ollama + CodeLlama | $0 | Offline code completion |
| Total | $0 |
Annual savings: $840. That's a plane ticket to a conference.
What's your AI coding stack costing you? Have you tried switching to free alternatives? Drop a comment — I'm curious if anyone else has done similar math.
P.S. If you want an even more integrated experience, MonkeyCode is another free, open-source option that combines multiple AI models in one interface. Worth a look if you want the "IDE experience" without the IDE price tag.
Top comments (0)