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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.
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The New GitBook
✓ verifiedFreemium
Documentation platform for publishing accurate, AI-ready docs sites, with Git sync and an MCP server for AI tools.
653K visits/mo2.9K saves
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Tiptap Editor 3.0 Beta
✓ verifiedFreemium
Headless, open-source rich-text editor framework with paid add-ons for collaboration, comments, AI editing agents and document conversion.
308K visits/mo
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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
Pricing
No public pricing
No public pricing
No public pricing
Free trial available
Start: $49/mo (up to 500 cloud documents, 2 environments, 2 dev licenses)
Team: $149/mo (up to 5,000 cloud documents, 3 environments, 5 dev licenses)
Business: $999/mo (up to 50,000 cloud documents, 5 environments, 10 dev licenses)
Free trial available
No public pricing
Core features
- ✦Fast tensor operations
- ✦Differentiable tensors for gradient-based optimization
- ✦Network connectivity
- ✦Integration with Bun and Flashlight
- ✦Support for GPU computation with CUDA (Linux) and CPU computation (macOS)
- ✦Natural language to SQL conversion
- ✦Publish structured documentation sites
- ✦Git sync for docs-as-code workflows
- ✦AI setup agent to build and import docs
- ✦GitBook MCP server for AI access
- ✦Enterprise controls
- ✦Free tier to start
- ✦Headless, extensible core editor with 100+ extensions
- ✦Real-time collaborative editing with live cursors
- ✦Inline and document comments
- ✦DOCX, ODT and Markdown import/export
- ✦AI Toolkit for building document-editing AI agents
- ✦Prebuilt UI components and editor templates
- ✦Head-to-head model comparison
- ✦Battle mode matchups
- ✦Public model leaderboard
- ✦Multi-file app generation
- ✦File uploads as input
Use cases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Generating SQL queries from text descriptions.
- →Publish product and API documentation
- →Maintain docs-as-code with Git sync
- →Make docs consumable by AI assistants
- →Import existing docs into a hosted site
- →Building a custom rich-text editor for a SaaS product
- →Adding real-time collaboration to a document app
- →Letting an AI agent edit documents with tracked changes
- →Importing or exporting Word or Markdown content in-app
- →Choosing the best coding model
- →Benchmarking AI code quality
- →Prototyping small apps
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