Windsurf vs GitHub Copilot
Compare Windsurf and GitHub Copilot by workflow, pricing, privacy, model support, and best use cases.
Details checked Jun 13, 2026
Windsurf
Choose Windsurf if you want an AI-first IDE that keeps agentic coding close to your editor, terminal, and project context; consider lighter extensions or CLI agents if you prefer a less opinionated workflow.
GitHub Copilot
GitHub Copilot is a practical default for GitHub-centered developers and teams that want AI coding support across editor, repository, review, and terminal workflows without adopting a separate AI IDE.
Key Differences
Workflow
Windsurf, now transitioning under the Devin Desktop brand, is an AI-native IDE for developers who want coding agents, codebase context, and editor workflows in one desktop environment.
GitHub Copilot is a mainstream AI code assistant and developer workflow layer for teams that want AI support inside existing editors, GitHub repositories, pull requests, and terminal workflows.
Feature Comparison
| Feature | Windsurf | GitHub Copilot |
|---|---|---|
| Primary workflow | Windsurf, now transitioning under the Devin Desktop brand, is an AI-native IDE for developers who want coding agents, codebase context, and editor workflows in one desktop environment. | GitHub Copilot is a mainstream AI code assistant and developer workflow layer for teams that want AI support inside existing editors, GitHub repositories, pull requests, and terminal workflows. |
| Type | AI IDEs / AI Code Editors | IDE Extensions & Plugins |
| Editor base | VS Code | VS Code |
| Pricing model | Freemium | Freemium |
| Starting price | $20 | $10 |
| Free plan | Yes | Yes |
| Open source | No | No |
| Local models | No | No |
| BYOK | Yes | Yes |
| Platforms | macOS, Windows, Linux, JetBrains plugin, VS Code plugin, Visual Studio plugin, Vim, Neovim, Jupyter, Chrome | VS Code, Visual Studio, JetBrains IDEs, Xcode, Neovim, Eclipse, Zed, GitHub.com, GitHub Mobile, GitHub Desktop, Windows Terminal, CLI |
| Models | SWE-1.6, SWE-1.6 Fast, SWE-1.5, SWE-1, SWE-1-mini, Claude 4 Sonnet, Claude 4 Sonnet Thinking, Claude 4 Opus, Claude 4 Opus Thinking, Claude, GPT, Gemini | OpenAI GPT-5 mini, OpenAI GPT-5.3-Codex, OpenAI GPT-5.4, OpenAI GPT-5.4 mini, OpenAI GPT-5.5, Anthropic Claude Haiku 4.5, Anthropic Claude Sonnet 4, Anthropic Claude Sonnet 4.5, Anthropic Claude Sonnet 4.6, Anthropic Claude Opus 4.5, Anthropic Claude Opus 4.6, Anthropic Claude Opus 4.7, Anthropic Claude Opus 4.8, Google Gemini 2.5 Pro, Google Gemini 3 Flash, Google Gemini 3.1 Pro, Google Gemini 3.5 Flash, Raptor mini |
| Enterprise features | Centralized billing, Admin dashboard, Analytics, SAML/OIDC SSO, Access control features, RBAC, Volume-based discounts, Priority or dedicated support, Dedicated account management, Dedicated deployment option, Hybrid deployment option, Model and provider access controls | Organization and enterprise license management, Policy controls for Copilot features and model availability, Audit logs on eligible plans, IP indemnity for business offerings, Usage monitoring and adoption reporting, Enterprise agent management, Data residency options for eligible enterprise environments, Custom model access using preferred LLM provider API keys for enterprise organizations |
| Best for | Developers who want a VS Code-like AI IDE, Teams experimenting with local and cloud coding agents, Multi-file refactoring and codebase navigation, Full-stack app iteration with previews and terminal workflows, Engineers who want to move from chat-based coding into agent-managed tasks | Developers who want AI assistance inside their existing editor rather than switching to a new IDE., GitHub-first teams that review code, manage issues, and ship pull requests on GitHub., Engineering organizations that need admin controls, policy management, and auditability., Developers who want a single assistant for autocomplete, chat, review, CLI, and agent workflows., Teams adopting AI coding gradually without rebuilding their development stack. |
| Not best for | Users who only need lightweight autocomplete, Teams that require a fully open-source editor stack, Strictly offline development environments, Developers who do not want an AI-first workflow inside their editor, Organizations that cannot send code context to external AI services without a reviewed enterprise agreement | Developers who want a fully AI-native editor experience like Cursor or Windsurf., Teams that require local-only model execution or fully self-hosted inference., Users who primarily want prompt-to-app generation in the browser., Workflows centered on non-GitHub source control platforms., Individuals who need predictable high-volume frontier-model usage without credit or usage constraints. |
Use Case Winners
Windsurf lists more team or enterprise controls.
GitHub Copilot has stronger frontend or web workflow signals.
GitHub Copilot supports more model/provider options or BYOK-style workflows.
Pricing Comparison
Windsurf
- Free$0 / month
Free individual plan with access to the editor and included usage.
- Pro$20 / month
Individual paid plan with higher usage allowance and premium model access.
- Max$200 / month
High-usage individual plan for heavier agent workflows.
- Team$80 + $40/full user / month
Team plan with shared billing and full-seat access to Devin Desktop usage.
- EnterpriseContact sales
Enterprise plan with advanced security, admin, support, and deployment options.
GitHub Copilot
- Free$0 / month
Limited monthly completions plus limited chat and agent usage for individuals.
- Pro$10 / user/month
Individual plan with unlimited code completions, model selection, cloud agent access, code review, and included AI credits.
- Pro+$39 / user/month
Adds premium model access, audit logs, and a larger monthly AI credit pool.
- Max$100 / user/month
Higher-usage individual plan for sustained agent workflows and priority access to newer models.
- Business$19 / user/month
Organization plan with license management, policy controls, and business data protections.
Privacy & Security
Windsurf
Windsurf/Devin Desktop is covered by Cognition's privacy and security documentation. Teams should review data retention, telemetry, BYOK, model routing, and enterprise controls before using it with proprietary code, regulated data, secrets, or customer information.
GitHub Copilot
GitHub states that Copilot Business and Enterprise data is not used to train GitHub models. For individual Free, Pro, and Pro+ users, GitHub may use Copilot interaction data for model improvement unless the user opts out in settings. Teams should review current GitHub Copilot privacy and data retention documentation before deployment.
Choose Windsurf if...
- Developers who want a VS Code-like AI IDE
- Teams experimenting with local and cloud coding agents
- Multi-file refactoring and codebase navigation
- Full-stack app iteration with previews and terminal workflows
- Engineers who want to move from chat-based coding into agent-managed tasks
Choose GitHub Copilot if...
- Developers who want AI assistance inside their existing editor rather than switching to a new IDE.
- GitHub-first teams that review code, manage issues, and ship pull requests on GitHub.
- Engineering organizations that need admin controls, policy management, and auditability.
- Developers who want a single assistant for autocomplete, chat, review, CLI, and agent workflows.
- Teams adopting AI coding gradually without rebuilding their development stack.
Avoid Windsurf if...
- Users who only need lightweight autocomplete
- Teams that require a fully open-source editor stack
- Strictly offline development environments
- Developers who do not want an AI-first workflow inside their editor
- Organizations that cannot send code context to external AI services without a reviewed enterprise agreement
Avoid GitHub Copilot if...
- Developers who want a fully AI-native editor experience like Cursor or Windsurf.
- Teams that require local-only model execution or fully self-hosted inference.
- Users who primarily want prompt-to-app generation in the browser.
- Workflows centered on non-GitHub source control platforms.
- Individuals who need predictable high-volume frontier-model usage without credit or usage constraints.