Cursor vs Tabby
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
Cursor Coding | Tabby Coding | |
|---|---|---|
| Tagline | AI-first VS Code fork — chat, edit, and agentic coding in one IDE. | Open-source, self-hosted AI coding assistant |
| Category | Coding | Coding |
| Pricing | Freemium· Hobby: Free · Individual: $20 / mo. · Teams: $40 / user / mo. · Enterprise: Custom | Freemium· Community (self-hosted) free; Team and Enterprise tiers with paid licensing (contact sales for pricing). |
| Model | Claude / GPT (configurable) | DeepSeek-Coder, Qwen2.5-Coder, StarCoder, CodeLlama, or any OpenAI-compatible endpoint (Mistral, etc.) |
| Editorial score | 9.5 / 10 | — |
| Use cases | codingrefactorsagentic editsIDE | Self-hosted code completionIn-IDE AI chatCodebase question answeringInternal knowledge search over repos and docsAir-gapped AI coding for regulated industriesPR and commit summarizationOnboarding assistance for new engineersCustom model deployment for coding |
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| Website | cursor.com | tabbyml.com |
Pick Cursor if
- ✅ Best-in-class multi-file edits
- ✅ Choice of underlying models
- ✅ Composer agent is genuinely useful
- ✅ Tab completion is faster than Copilot
Pick Tabby if
- ✅ Fully open source (Apache 2.0) and self-hostable — no code leaves your infrastructure
- ✅ Model-agnostic: swap between open-weight coders (DeepSeek, Qwen2.5-Coder, StarCoder) or route to hosted APIs
- ✅ Answer Engine grounds chat in the team's own repos, issues, and docs via built-in connectors
- ✅ Runs on a single consumer GPU; lightweight enough for on-prem or air-gapped deployment