Compare tools
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
✕
RevisionDojo
✓ verifiedFreemium
IB/MYP exam-prep platform combining a large question bank, expert notes, flashcards, and AI-graded coursework feedback for IB students.
2.8M visits/mo
✕
16x Prompt
✓ verifiedFreemium
Local desktop app that assembles code-context prompts for LLMs, with API integrations, token tracking, and prompt saving.
21K visits/mo
✕
Kilo Code
✓ verifiedFreemium
Open-source AI coding agent for VS Code, JetBrains, CLI and cloud, with 500+ models at zero inference markup and BYOK.
10K visits/mo57K saves
Pricing
No public pricing
Starter: $9/mo
Pro: $18/mo
Expert: $25/mo
Free: $0 (10 prompts/day)
Individual lifetime license: $48
Team lifetime license: $68
Free: $0 (open source; AI usage billed separately)
Teams: $15/user/mo (14-day free trial)
KiloClaw hosting: from $55/mo
Free trial available
Core features
- ✦35,000+ IB-style practice questions across subjects
- ✦Examiner-written study notes and textbooks
- ✦AI coursework grading for IA, EE, and TOK with rubric breakdowns
- ✦Flashcards and a custom test/exam builder
- ✦IB grade calculator and grade boundary lookup
- ✦Exemplar library of graded IB coursework
- ✦Access to multiple AI models (GPT-4, Claude 3, Mixtral)
- ✦PDF analysis
- ✦AI image generation
- ✦AI data scientist
- ✦AI visualizations
- ✦Music composition
- ✦Source-code context and prompt management
- ✦Custom and formatting instructions
- ✦BYOK API integrations (OpenAI, Claude, Gemini, etc.)
- ✦Token-limit tracking
- ✦Code-edit feature with visual diffs and backups
- ✦Local, offline prompt generation
- ✦500+ AI models at zero inference markup
- ✦Bring-your-own-keys and local model support
- ✦MIT-licensed, fully open source
- ✦Works in VS Code, JetBrains, CLI and cloud
- ✦Agent modes (Code, Architect)
- ✦Parallel isolated worktrees
- ✦Slack code reviewer and gateway
Use cases
- →IB students preparing for final exams with subject-specific question practice
- →Students seeking AI feedback on IA, EE, or TOK drafts before submission
- →MYP students building foundational subject knowledge
- →Students building personalized flashcard decks for revision
- →Chat with PDF documents to get instant insights
- →Turn data into easy-to-understand visuals
- →Create high-quality images with AI
- →Manage tasks more efficiently with AI assistance
- →Building context-rich prompts for AI coding
- →Comparing model outputs on the same task
- →Reusing saved prompts across tech stacks
- →Keeping code private during prompt creation
- →Writing and refactoring production code with AI
- →Planning features before implementation
- →Running agents across multiple IDEs and the CLI
Visit