GitHub Copilot vs Tabby
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
GitHub Copilot Coding | Tabby Coding | |
|---|---|---|
| Tagline | The original AI pair programmer, now with chat and agents. | Open-source, self-hosted AI coding assistant |
| Category | Coding | Coding |
| Pricing | Paid· Free: $0 · Pro: $10 · Pro+: $39 · Max: $100 | Freemium· Community (self-hosted) free; Team and Enterprise tiers with paid licensing (contact sales for pricing). |
| Model | GPT / Claude / OpenAI o-series (configurable) | DeepSeek-Coder, Qwen2.5-Coder, StarCoder, CodeLlama, or any OpenAI-compatible endpoint (Mistral, etc.) |
| Editorial score | 9.1 / 10 | — |
| Use cases | autocompletechatPR reviewagents | 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 | github.com | tabbyml.com |
Pick GitHub Copilot if
- ✅ Excellent JetBrains + VS Code support
- ✅ Tight GitHub PR integration
- ✅ Now offers multiple model choices
- ✅ Free tier for individuals
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