Claude Code vs Gemini CLI 2026: कौन सा terminal AI agent चुनें?

यह लेख Gemini CLI README, quota/pricing और Claude Code docs को 2026-06-01 पर देखकर लिखा गया है। Gemini CLI Google ecosystem और OSS में मजबूत है; Claude Code permissions, steps और evidence में।

Practical verdict

Choose Claude Code for controlled production repository work. Choose Gemini CLI for Google-first research, prototypes, and OSS-friendly terminal workflows. Do not choose only by model name; choose by safety and operating context.

Official information checked

Gemini CLI documentation covers built-in tools, MCP, sandboxing and quota/pricing paths. Claude Code documentation covers costs, settings, and permissions. The comparison is about governance as much as generation quality.

• Claude Code overview
• Claude Code settings
• Claude Code permissions
• Gemini CLI official repository
• Gemini CLI quota and pricing

Comparison table

Axis	Claude Code	Gemini CLI
Best work	Controlled production work	Google-first OSS workflow
Governance	CLAUDE.md, permissions, hooks	GEMINI.md, tools, sandbox
Cost	Subscription/API/usage	Free quota, API billing, Vertex AI
Risk	Too much permission	Assuming quotas are permanent

Decision flow

1. Production safety means Claude Code.
2. GCP/Search/Workspace/Vertex AI means Gemini CLI.
3. Reading implementation means Gemini CLI.
4. Mandatory procedures mean Claude Code permissions.
5. First week: no deploy, delete, secrets, or main push.

Use cases

GCP prototype

Gemini CLI is natural around Cloud Run, BigQuery, and Vertex AI.

Risky SaaS change

Billing and auth changes need small diffs, tests, and remaining-risk notes; Claude Code is easier to operationalize.

Docs and code

Gemini fits Google context; Claude Code fits repository rules and review discipline.

Failure cases

• Do not plan production on free quota.
• Do not assume OSS means safe.
• Do not grant dangerous permissions in week one.
• Do not choose only by model benchmark.

Evaluation plan

Use the same real repository, same failing test, and same time box. Score diff size, explanation, verification evidence, and reviewability.

npm test -- --runInBand
npx https://github.com/google-gemini/gemini-cli
claude -p "Inspect the failing test, propose a minimal patch, and show the exact verification command."

Minimum guardrail

Write allowedFirstWeek, requiresHumanApproval, and evidenceRequired before comparing tools. This turns a demo into a workflow.

{
  "aiCodingPolicy": {
    "allowedFirstWeek": ["read files", "propose patches", "run tests"],
    "requiresHumanApproval": ["deploy", "delete files", "change secrets", "push to main"],
    "evidenceRequired": ["changed files", "test command", "result", "remaining risk"]
  }
}

Internal links and monetization path

आगे getting started, permissions guide, harness engineering और token optimization पढ़ें। Templates और consultation products और training में हैं। Getting started / permissions / harness / token optimization / products / training

Verification note

Gemini CLI README/quota/pricing और Claude Code overview/costs/settings/permissions देखे गए। rollout से पहले official docs फिर जांचें।

The final decision should be reviewed after one real week of use. Measure accepted diffs, rejected diffs, test evidence, incidents avoided, and the time saved by humans.