Amazon Q Developer vs Kimi Code: Side-by-Side Comparison 2026

Amazon Q Developer vs Kimi Code comparison for 2026. Features, pricing, AI capabilities, and editor support analyzed side by side to help you choose the right coding tool for your workflow.

Amazon Q Developer is an editor extension from Amazon (AWS) — ai coding assistant built for aws developers. Kimi Code is a CLI-based coding agent from Moonshot AI — ai coding agent with deep context understanding.

Amazon Q Developer

AWS-native AI coding assistant for IDE plugins (VS Code, JetBrains) and the AWS console. Strong AWS service knowledge (CDK, Lambda, IAM, infrastructure-as-code). AWS announced end-of-support April 30, 2026 with replacement product Kiro.

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

Free / $19/mo · 2 plans

Kimi Code

Autonomous AI coding agent by Moonshot AI. Available as a CLI tool and VS Code extension (technical preview). Built on the Kimi K2.5 model with long-context capabilities.

  • ✓ AI chat
  • ✓ Agentic mode
  • ✓ Multi-file editing
  • ✓ Terminal commands
  • ✓ Test generation

Free / $19/mo · 4 plans

Feature Amazon Q Developer Kimi Code
Category ExtensionCLI
Starting Price Free Free
Model Family Multi-modelKimi
Open Source NoYes (CLI is open source)

Pricing verified May 4, 2026. Amazon Q Developer pricing | Kimi Code pricing

Share

Key Differences

  • Category: Amazon Q Developer is an editor extension; Kimi Code is a CLI-based coding agent.
  • Model family: Amazon Q Developer uses Multi-model; Kimi Code uses Kimi.
  • Open source: Amazon Q Developer: No. Kimi Code: Yes (CLI is open source).
  • Platforms: Amazon Q Developer runs on Desktop, Web; Kimi Code runs on Linux, Windows, macOS.
  • Provider: Amazon Q Developer is built by Amazon (AWS); Kimi Code is built by Moonshot AI.

Which Should You Choose?

Choose Amazon Q Developer if you want AWS-integrated coding with deep cloud service understanding. Choose Kimi Code if you want AI-powered coding with strong context understanding. Read our full reviews to see which fits your workflow.

Share