GitHub Copilot vs Continue

Detailed side-by-side comparison to help you choose the right tool

GitHub Copilot

🔴Developer

AI coding assistant

GitHub Copilot is a AI coding assistant for everyday coding assistance, repository-aware code review and explanations.

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Starting Price

Custom

Continue

🔴Developer

AI Coding

Open-source AI coding extension for VS Code and JetBrains — bring any model, configure custom rules, share assistants across your team.

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Starting Price

Custom

Feature Comparison

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FeatureGitHub CopilotContinue
CategoryAI coding assistantAI Coding
Pricing Plans160 tiers36 tiers
Starting Price
Key Features
  • AI autocomplete and chat in popular IDEs
  • GitHub-native context for repositories, issues, pull requests, and actions
  • Agentic coding workflows for multi-file changes
  • Multi-model AI support including OpenAI, Claude, Gemini, and local models
  • Native IDE extensions for VS Code and JetBrains with smooth workflow integration
  • MCP server connectivity for development toolchain integration

GitHub Copilot - Pros & Cons

Pros

  • Deep GitHub integration: code suggestions, chat, PR summaries, code review help, and repository context live where many engineering teams already work.
  • Clear plan ladder: Free, Pro at $10/month, Pro+ at $39/month, Business at $19/user/month, and Enterprise at $39/user/month.
  • MCP support in VS Code/Copilot agent workflows lets teams expose approved external tools instead of copy-pasting context manually.
  • Strong enterprise fit with policy controls, organization management, and standardized rollout across GitHub repositories.

Cons

  • Quality still depends on tests and reviewer discipline; Copilot can generate plausible but wrong code, especially in unfamiliar domains.
  • Best experience is tied to the GitHub/Microsoft ecosystem, so GitLab-heavy or JetBrains-only teams may prefer alternatives.
  • Pro+ and Enterprise pricing can add up quickly for teams that already pay for IDE, CI, and security tooling.

Continue - Pros & Cons

Pros

  • Open-source under Apache 2.0 — no vendor lock-in or proprietary protocols
  • Genuinely supports JetBrains as a first-class citizen, not an afterthought
  • YAML config and Continue Hub make team-wide standardization trivial
  • Transparent pricing: $3/M tokens Starter, $20/seat/month Team — no hidden seat costs
  • Mix local and hosted models in one extension — cheap autocomplete, expensive chat
  • Strong on-prem story for regulated enterprises (BYOK, internal proxies, no telemetry)

Cons

  • Less polished UX than closed-source competitors like Cursor or GitHub Copilot
  • Agent mode is younger than Cline's and has fewer guardrails
  • Hub assistants quality varies — vetting community configs takes effort
  • $3/M tokens Starter is competitive but not the cheapest if you BYO API keys directly

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