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GitHub Copilot vs Bolt.new

A detailed side-by-side comparison to help you choose the right AI coding agent for your needs.

Best for GitHub ecosystem integration

GitHub Copilot

GitHub Copilot has evolved from a code completion tool into a comprehensive AI agent with Agent Mode that autonomously determines which files need modification and implements changes across your codeb...

AI Models
GPT-4.1GPT-5Claude Sonnet 4.5Claude Opus 4.1
Key Features
  • Agent Mode autonomously determines file modifications
  • Self-healing error detection and automatic fixing
  • Copilot Workspace for concept-to-production code
  • Automated branch creation, commits, pull requests
  • Multi-model support: GPT-5.1, Claude Opus 4.5, Gemini 3 Pro
Pricing
Free$0/month
Pro$10/month
Pro+$39/month
Business$19/user/month
Enterprise$39/user/month
Pros
  • Seamless GitHub integration with automated workflows
  • Multiple cutting-edge models for diverse tasks
  • Self-healing reduces debugging time significantly
Cons
  • Most powerful features require GitHub ecosystem
  • Per-user pricing can be expensive for large teams
Best for instant full-stack app prototyping

Bolt.new

Bolt.new is an AI-powered app builder by StackBlitz that lets users create, run, and deploy full-stack web applications directly in the browser from natural language prompts. The platform uses WebCont...

AI Models
Claude Sonnet 4GPT-4oGemini 2.5 Pro
Key Features
  • Full-stack app generation from natural language in browser
  • WebContainers technology for instant Node.js environment
  • Token-based system with monthly rollover on paid plans
  • Built-in deployment with custom domain support
  • Support for React, Next.js, Vue, Svelte, and more
Pricing
Free$0/month
Pro$25/month
Teams$30/user/month
EnterpriseCustom pricing
Pros
  • Fastest path from idea to deployed app with WebContainers
  • Token rollover prevents waste on paid plans
  • No local setup needed — everything runs in browser
Cons
  • Free tier includes Bolt branding on deployed sites
  • Token-based pricing can be unpredictable for complex projects