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
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Gemini Code Assist
✓ verifiedFreemium
Google's AI coding assistant for code completion, generation, chat and review across IDEs and GitHub.
559K visits/mo
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Qoder
✓ verifiedFreemium
Agentic AI platform with a coding desktop app, CLI, and cloud agents for autonomous software development and office work.
2.7M visits/mo32K saves
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Supermaven
✓ verifiedFreemium
Fast AI code-completion tool with a 1M-token context window, offering free and paid tiers for individuals and teams.
Pricing
No public pricing
No public pricing
No public pricing
No public pricing
Free trial available
Free Tier: $0/mo
Pro: $10/mo (1M token context, 30-day free trial)
Team: $10/mo per user (unlimited users, centralized billing)
Free trial available
Core features
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- ✦AI code completion and suggestions
- ✦Natural-language code generation
- ✦In-IDE chat assistance
- ✦AI code review
- ✦IDE integrations (VS Code, JetBrains, etc.)
- ✦GitHub integration
- ✦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)
- ✦Multi-agent collaboration for end-to-end tasks
- ✦Persistent memory and custom rules
- ✦Extensible skills and plugins
- ✦Rich context across code, images, and directories
- ✦Automatic codebase documentation generation
- ✦Terminal-native CLI and JetBrains IDE plugin
- ✦Cloud-hosted agents for enterprise use
- ✦Low-latency AI code completions
- ✦1 million token context window for large codebases
- ✦IDE support for VS Code, JetBrains, and Neovim
- ✦Built-in chat with multiple model options
- ✦One-click diff/apply for AI-suggested changes
- ✦Automatic error-fixing using compiler diagnostics
Use cases
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- →Speeding up coding with AI completions
- →Generating code from plain-language prompts
- →Getting in-editor help and explanations
- →Reviewing pull requests with AI
- →Understanding unfamiliar codebases
- →Creating and manipulating datasets
- →Training small machine learning models
- →Implementing advanced training and inference logic
- →Building applications that require tensor computations
- →Autonomous feature development in large codebases
- →Terminal-based AI pair programming
- →Cross-department task automation for legal, finance, HR
- →Onboarding developers to unfamiliar codebases
- →Solo developers wanting a fast, free code-completion tool
- →Professional developers working in large codebases needing more context
- →Engineering teams standardizing on one AI coding assistant with central billing
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