Amazon Q Developer vs Gemini CLI: Side-by-Side Comparison 2026

Amazon Q Developer vs Gemini CLI comparison 2026. Side-by-side features, pricing & capabilities.

Amazon Q Developer is an editor extension from Amazon (AWS) — ai coding assistant built for aws developers. Gemini CLI is a CLI-based coding agent from Google — open-source ai agent for your terminal.

Amazon Q Developer

Amazon Q Developer — AI Code Assistant from Amazon (AWS). IDE Integration.

  • Code completions
  • AI chat
  • Agentic mode
  • Multi-file editing
  • Terminal commands

Free / $19/mo · 2 plans

Gemini CLI

Open-source AI agent that runs in your terminal. Uses a ReAct loop with built-in tools for file operations, shell commands, web search, and MCP server support. Free with generous daily limits.

  • ReAct agentic loop
  • File operations and shell commands
  • Web search grounding
  • MCP server support
  • 1M token context window

Free / $19.99/mo · 4 plans

Feature Amazon Q Developer Gemini CLI
Category ExtensionCLI
Starting Price Free Free
Model Family Multi-modelGemini
Documentation
Open Source NoYes (Apache 2.0)

Pricing verified Mar 20, 2026. Amazon Q Developer pricing | Gemini CLI pricing

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Key Differences

  • Category: Amazon Q Developer is an editor extension; Gemini CLI is a CLI-based coding agent.
  • Starting price: Amazon Q Developer starts at $19/mo; Gemini CLI starts at $19.99/mo.
  • Model family: Amazon Q Developer uses Multi-model; Gemini CLI uses Gemini.
  • Open source: Amazon Q Developer: No. Gemini CLI: Yes (Apache 2.0).
  • Bring your own key: Gemini CLI supports BYOK; Amazon Q Developer does not.
  • Platforms: Amazon Q Developer runs on Desktop, Web; Gemini CLI runs on Linux, Windows, macOS.
  • Provider: Amazon Q Developer is built by Amazon (AWS); Gemini CLI is built by Google.

Which Should You Choose?

Choose Amazon Q Developer if you want AWS-integrated coding with deep cloud service understanding. Choose Gemini CLI if you want AI pair programming directly in your terminal. Read our full reviews to see which fits your workflow.

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