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Side-by-side features, use cases and pricing — because the right pick depends on your job and budget, not just the ranking.
⇄ Comparison dimension — pick the market you're actually shopping in
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Code Arena
✓ verifiedFree
Side-by-side arena to compare AI coding models and build multi-file apps, with a public leaderboard and battle mode.
35M visits/mo201 saves
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Windsurf Editor
✓ verifiedFree trial
AI-powered code editor with agentic workflows for developers.
3.3M visits/mo
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PearAI
✓ verifiedFreemium
Open-source AI code editor that routes coding tasks to top-performing models and includes an agent for building and fixing projects.
37K visits/mo
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Workik
✓ verifiedFreemium
AI coding assistant that gathers project context to plan, generate, test and ship code across the SDLC via IDE and chat integrations.
210K visits/mo
Pricing
No public pricing
No public pricing
No public pricing
Trial: $0/month (20 AI requests on signup, 7 requests/day, 50 free flow runs, up to 3 users)
Starter: $15/month billed annually or $25/month (20M standard AI tokens, 1,000 flow runs)
Premium: $30/month billed annually or $50/month (40M standard + 4M advanced AI tokens, 3,000 flow runs)
Elite: $80/month billed annually or $150/month (100M standard + 10M advanced AI tokens, 10,000 flow runs)
Tailored: $62/month (custom AI token allocation)
Free trial available
Core features
- ✦Head-to-head model comparison
- ✦Battle mode matchups
- ✦Public model leaderboard
- ✦Multi-file app generation
- ✦File uploads as input
- ✦AI-powered code completion and suggestions
- ✦Automated lint fixing
- ✦Cascade agent for advanced coding assistance
- ✦Integrated app building and deployment
- ✦MCP server support for custom tools
- ✦Terminal command integration
- ✦Memory of codebase structure and workflow
- ✦Automatic routing to best-performing AI coding models
- ✦Coding agent for building features and fixing bugs
- ✦Free desktop download
- ✦Open-source codebase
- ✦Project scaffolding for new codebases
- ✦Deployment integration (planned)
- ✦Automatic context-gathering from connected engineering sources
- ✦AI-generated code, tests and pull requests from tickets
- ✦Task planning that breaks complex work into subtasks
- ✦Auto-updating engineering documentation
- ✦Vector search over embedded project data
- ✦Multiple selectable AI models (GPT, Gemini, Claude, Llama, etc.)
- ✦Engineering productivity analytics dashboard
Use cases
- →Choosing the best coding model
- →Benchmarking AI code quality
- →Prototyping small apps
- →Accelerating software development by automating repetitive tasks
- →Reducing onboarding time for new developers
- →Improving code quality and reducing tech debt
- →Streamlining the app building and deployment process
- →Enhancing developer productivity by keeping them in a state of flow
- →Developers who currently copy-paste code between ChatGPT/Claude and their editor
- →Makers wanting one subscription instead of several AI tool subscriptions
- →Engineers learning new languages/frameworks with AI assistance
- →Teams wanting an open-source AI-native code editor
- →Engineering teams automating ticket-to-PR workflows
- →Developers wanting AI-assisted debugging and test generation
- →Engineering managers tracking AI-driven productivity gains
- →Teams centralizing documentation from scattered sources
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