Augment Code vs GitHub Copilot
Compare Augment Code and GitHub Copilot by workflow, pricing, privacy, model support, and best use cases.
Augment Code
Choose Augment Code when the main problem is applying AI to large, real-world codebases without forcing developers to abandon their current IDEs. It is less attractive as a cheap personal autocomplete tool, but strong for teams that value deep context, cloud agents, code review, automation, and enterprise controls.
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
Augment Code is an enterprise-focused AI coding platform for teams working in large repositories, existing IDEs, terminals, and automated engineering workflows.
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.
Pricing
paid
freemium
BYOK
No
Yes
Feature Comparison
| Feature | Augment Code | GitHub Copilot |
|---|---|---|
| Primary workflow | Augment Code is an enterprise-focused AI coding platform for teams working in large repositories, existing IDEs, terminals, and automated engineering workflows. | 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 | code-assistant | extension |
| Editor base | VS Code | VS Code |
| Pricing model | paid | freemium |
| Starting price | $100 | $10 |
| Free plan | No | Yes |
| Open source | No | No |
| Local models | No | No |
| BYOK | No | Yes |
| Platforms | VS Code, JetBrains IDEs, Vim, Neovim, CLI, Browser-based Cosmos cloud agent platform, GitHub, Slack, Linear | VS Code, Visual Studio, JetBrains IDEs, Xcode, Neovim, Eclipse, Zed, GitHub.com, GitHub Mobile, GitHub Desktop, Windows Terminal, CLI |
| Models | Claude Fable 5, Claude Haiku 4.5, Claude Opus 4.5, Claude Opus 4.6, Claude Opus 4.7, Claude Sonnet 4.5, Claude Sonnet 4.6, Gemini 3.1 Pro, GPT-5.1, GPT-5.2, GPT-5.4, GPT-5.5, Kimi K2.6, Prism | 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 | SSO, OIDC, SCIM, SOC 2 Type II, Security reports, CMEK, ISO 42001 compliance, SIEM integration, Data residency options, Granular access controls, Comprehensive audit trails, Custom usage, Custom top-ups, Unlimited users, Multi-region compute, Custom size compute, Unlimited concurrent sessions, Dedicated support, Usage analytics, Advanced code review analytics, User allowlists, Multi-org GitHub support, Unlimited seats and repositories for enterprise code review | 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 | Enterprise engineering teams, Large monorepos, Production refactors, Repository-scale debugging, Teams that want AI agents inside existing IDEs, Teams using JetBrains who do not want to switch to a VS Code fork, Cloud agent automation, AI-assisted code review, Migration and modernization projects, Incident investigation and security remediation workflows | 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 | Solo developers looking for the cheapest autocomplete tool, Users who want a full standalone AI IDE replacement, Teams requiring fully local model execution, Workflows that need BYOK model routing as a core documented feature, Projects where usage-based AI billing is unacceptable, Users whose main need is simple line-by-line code completion on a low-cost plan | 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
Both Augment Code and GitHub Copilot have comparable signals here.
GitHub Copilot has BYOK or model-routing flexibility.
Augment Code lists more team or enterprise controls.
Both Augment Code and GitHub Copilot have comparable signals here.
GitHub Copilot supports more model/provider options or BYOK-style workflows.
Neither tool shows a strong signal for this use case in the current structured data.
Pricing Comparison
Augment Code
- Business$100 / month
Flat monthly plan for up to 50 seats with $100/month of usage included across LLM, Context Engine, and Cosmos compute.
- EnterpriseCustom
Custom usage, unlimited users, advanced security, SSO/OIDC/SCIM, compliance options, multi-region compute, and dedicated support.
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
Augment Code
Augment states that paid plans do not allow AI training on customer data. The platform processes codebase context, prompts, model requests, repository metadata, tool calls, and cloud-agent session data to provide its Context Engine, IDE clients, CLI, Cosmos, and automation features. Enterprise buyers should review the Trust Center, data residency, CMEK, audit trail, SIEM, and access-control options before using it with regulated or highly confidential code.
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 Augment Code if...
- Enterprise engineering teams
- Large monorepos
- Production refactors
- Repository-scale debugging
- Teams that want AI agents inside existing IDEs
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 Augment Code if...
- Solo developers looking for the cheapest autocomplete tool
- Users who want a full standalone AI IDE replacement
- Teams requiring fully local model execution
- Workflows that need BYOK model routing as a core documented feature
- Projects where usage-based AI billing is unacceptable
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.