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📖 The AI Tool Bible

Crush vs GitHub Copilot

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 
Crush
Coding
GitHub Copilot
Coding
TaglineGlamourous agentic coding for your terminalThe original AI pair programmer, now with chat and agents.
CategoryCodingCoding
PricingFreemium· Free: $0 USD · Team: $4 USD per user/month · Enterprise: $21 USD per user/monthPaid· Free: $0USD · Pro: $10USD per user / month · Pro+: $39USD per user / month · Max: $100USD per user / month
ModelProvider-agnostic: Anthropic Claude, OpenAI GPT, Google Gemini, Groq, Cerebras, OpenRouter, Bedrock, VertexAI, Azure OpenAI, Ollama, llama.cpp, LM Studio, and any OpenAI/Anthropic-compatible endpointGPT / Claude / OpenAI o-series (configurable)
Editorial score9.1 / 10
Use cases
Agentic code refactoring in the terminalMulti-file feature implementation with LSP contextLocal-model coding with Ollama or llama.cppMid-session model switching between Claude, GPT, and GeminiMCP-driven access to internal APIs and databasesGit commit message and pull request generationTest writing and iterative test-fix loopsHeadless agent workflows via 'crush serve'Cross-platform developer tooling on Windows, macOS, Linux, BSDCodebase exploration and onboarding to unfamiliar repos
autocompletechatPR reviewagents
Pros
  • Truly provider-agnostic: Claude, GPT, Gemini, Groq, Bedrock, VertexAI, Azure, OpenRouter, Ollama, llama.cpp, and any compatible endpoint
  • Switch models mid-session without losing context, making mixed local/frontier routing practical
  • First-class MCP support (stdio, HTTP, SSE) plus the Agent Skills standard for extensibility
  • LSP integration gives the agent real symbol-level context instead of blind grep
  • Single Go binary with installers for Homebrew, NPM, Arch, Nix, Winget, Scoop, and BSD pkg
  • Per-tool permission model keeps shell and file writes gated by default
  • Open source under FSL-1.1-MIT with an active, well-known maintainer (Charm) and 27k+ stars
  • Runs headlessly via 'crush serve' for shared workspaces and scripted automations
  • Excellent JetBrains + VS Code support
  • Tight GitHub PR integration
  • Now offers multiple model choices
  • Free tier for individuals
Cons
  • Terminal-only UX; no VS Code, JetBrains, or GUI integration if you prefer an IDE-embedded assistant
  • Bring-your-own-key model means API costs land on you for any hosted frontier model
  • Bash-style .crushrc and MCP wiring have a learning curve compared with zero-config IDE plugins
  • FSL-1.1-MIT is source-available with usage restrictions before it converts to MIT, not a pure OSI license
  • Younger project than Aider or Continue, so edge-case bugs and breaking config changes still land
  • Quality of agentic edits depends heavily on which model you point it at; weak local models produce weak diffs
  • UX less integrated than Cursor
  • Multi-file edits are catching up but not yet leading
Websitegithub.comgithub.com
Pick Crush if
  • Truly provider-agnostic: Claude, GPT, Gemini, Groq, Bedrock, VertexAI, Azure, OpenRouter, Ollama, llama.cpp, and any compatible endpoint
  • Switch models mid-session without losing context, making mixed local/frontier routing practical
  • First-class MCP support (stdio, HTTP, SSE) plus the Agent Skills standard for extensibility
  • LSP integration gives the agent real symbol-level context instead of blind grep
Pick GitHub Copilot if
  • Excellent JetBrains + VS Code support
  • Tight GitHub PR integration
  • Now offers multiple model choices
  • Free tier for individuals