Claude Code vs Cursor
Anthropic's Claude Code versus Cursor: AI-powered coding assistants compared on context handling, agent autonomy, IDE integration, and pricing in 2026.
The open-source Google agent that moved into the terminal — now living on an enterprise license
Anthropic's terminal agent — no free tier, but deep autonomy
It depends on your situation — the "free quota vs. depth" framing is no longer clear-cut; Gemini CLI's free side has been closed to individual users since June 18, 2026. If your budget is zero, your real option is Antigravity CLI. If you have an enterprise Google license, Gemini CLI is still a serious contender. For production pipelines that need multi-step autonomy and a mature MCP ecosystem, Claude Code is ahead. In short: student/hobbyist → Antigravity CLI; enterprise Google license → Gemini CLI; production agent pipeline → Claude Code
| Category | Gemini CLI | Claude Code |
|---|---|---|
| Performance | 7/10 | 9/10 |
| Ease of Learning | 7/10 | 7/10 |
| Ecosystem | 7/10 | 9/10 |
| Community | 8/10 | 8/10 |
| Job Market | 6/10 | 8/10 |
| Future-Proof | 6/10 | 9/10 |
# Gemini CLI - install, authentication, and MCP/subagent configuration
npm install -g @google/gemini-cli
# Login: start the CLI, choose "Sign in with Google" at launch
# (there's no separate `auth login` subcommand)
gemini
# Running with an API key (choose "Use Gemini API key" inside the CLI)
export GEMINI_API_KEY="YOUR_GEMINI_API_KEY"
gemini
# Add an MCP server and run the agent inside the repo
gemini mcp add postgres -- npx -y @modelcontextprotocol/server-postgres \
"postgresql://localhost/mydb"
gemini "Find and fix the failing tests in this repo" --yolo
# Overriding a built-in subagent - .gemini/settings.json
{
"agents": {
"overrides": {
"codebase_investigator": {
"modelConfig": { "model": "gemini-3-flash-preview" },
"runConfig": { "maxTurns": 50 }
}
}
}
}
# Custom subagents are defined in .gemini/agents/<name>.md with YAML frontmatter
# Enterprise authentication with Vertex AI
export GOOGLE_GENAI_USE_VERTEXAI=true
export GOOGLE_CLOUD_PROJECT="my-gcp-project"
gemini# Claude Code - install, model selection, and subagent/MCP usage
npm install -g @anthropic-ai/claude-code
# Start with the default model (Sonnet 5 for exploration, Opus 5.5 for specced code)
claude
# Starting with a specific model/alias
claude --model opus # Opus 5.5 (default Opus)
claude --model fable # Fable 5.1 (top tier)
# Adding an MCP server from the Anthropic Directory
claude mcp add postgres -- npx -y @modelcontextprotocol/server-postgres \
"postgresql://localhost/mydb"
# Parallel exploration + specced code using subagents
# (built-in: Explore, Plan, General-purpose)
claude "Scan the auth module with the Explore subagent, then draft a
migration plan with the Plan subagent" --permission-mode plan
# Overriding the subagent model via an env variable
export CLAUDE_CODE_SUBAGENT_MODEL=claude-sonnet-5
claude "Find unused exports across the repo"
# Running headless for CI/automation
claude -p "run lint + tests, fix the errors" --output-format jsonIt depends on your situation — the "free quota vs. depth" framing is no longer clear-cut; Gemini CLI's free side has been closed to individual users since June 18, 2026. If your budget is zero, your real option is Antigravity CLI. If you have an enterprise Google license, Gemini CLI is still a serious contender. For production pipelines that need multi-step autonomy and a mature MCP ecosystem, Claude Code is ahead. In short: student/hobbyist → Antigravity CLI; enterprise Google license → Gemini CLI; production agent pipeline → Claude Code
Get Free ConsultationNo — not anymore, at least not for individual users. On June 18, 2026, Google announced that Gemini CLI stopped processing requests for Google AI Pro/Ultra subscribers and free individual accounts; these users were redirected to Antigravity CLI. The official quota page still shows figures of '1,000 requests/day with a personal Google account, 250 requests/day with an API key' — but that's outdated documentation; the primary source (Google's own announcement) says these no longer apply to individual users. The old terms still hold only for those with an enterprise Gemini Code Assist license or paid API key/Vertex AI access.