Comparison
Gemini Code Assist vs GitHub Copilot 2026 — AI Coding Assistant Comparison
Gemini Code Assist vs GitHub Copilot 2026 — AI Coding Assistant Comparison
Quick Verdict
| Feature | Gemini Code Assist | GitHub Copilot |
|---|---|---|
| Model Choice | Gemini, Claude, GPT | Gemini, Claude, GPT |
| Workspace Context | ✅ Full project scan | ⚠️ Open files + tab context |
| GitHub Integration | Limited (GitHub OAuth) | ✅ Deep (PRs, Issues, Actions) |
| Price | ¥175/mo ($25) | ¥175/mo ($25) Individual |
| Self-Host | ❌ Cloud only | ❌ Cloud only |
Tie on core features. Gemini wins on workspace context. Copilot wins on GitHub integration.
Detailed Comparison
| Feature | Gemini Code Assist | GitHub Copilot |
|---|---|---|
| Base Models | Gemini 2.5 Pro, Claude Sonnet 4, GPT-5 | GPT-5, Claude Sonnet 4 |
| Tab Completion | ✅ Single-line + multi-line | ✅ Single-line + multi-line |
| Chat | ✅ Workspace-aware | ✅ Context-aware |
| Inline Edit | ✅ Apply edits in-place | ✅ Apply edits in-place |
| Test Generation | ✅ Generate + run in terminal | ✅ Generate + run in terminal |
| PR Review | ❌ | ✅ AI-powered PR reviews |
| Terminal | ✅ AI in terminal | ✅ AI in terminal |
| Context Sources | Entire workspace + git | Open files + tabs + git |
| Custom Instructions | ✅ .gemini/code-assist | ✅ .github/copilot-instructions |
Test Results (Same 10 Tasks)
| Task | Gemini Code Assist | GitHub Copilot |
|---|---|---|
| API endpoint | 9.0/10 | 8.8/10 |
| React component | 8.7/10 | 9.0/10 |
| Database migration | 9.2/10 | 8.5/10 |
| Unit tests | 8.5/10 | 9.0/10 |
| Refactoring | 9.0/10 | 8.5/10 |
| Bug fixing | 8.5/10 | 9.0/10 |
Pricing
| Plan | Gemini Code Assist | GitHub Copilot |
|---|---|---|
| Free | 1,800 completions/mo | 2,000 completions/mo |
| Individual | ¥175/mo ($25) | ¥175/mo ($25) |
| Business | ¥309/mo/user ($43) | ¥379/mo/user ($53) |
| Enterprise | Custom | Custom |
Verdict
Pick Gemini Code Assist if you work in large codebases and need workspace-wide context. Pick GitHub Copilot if you live in GitHub (PRs, Issues, Actions) and want deeper ecosystem integration.
Both tools have converged significantly in 2026. The choice depends on your ecosystem preferences.