GitHub Copilot vs Continue
Detailed side-by-side comparison to help you choose the right tool
GitHub Copilot
🔴DeveloperAI coding assistant
An AI coding assistant spanning editors, GitHub, code review, command line workflows, and autonomous agents.
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Starting Price
$0 with limited completions and requestsContinue
🔴DeveloperDeveloper Tools
Open-source AI coding assistant for VS Code and JetBrains — bring any model, any MCP server, and share reusable rules and agents across your team via Continue Hub.
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Starting Price
FreeFeature Comparison
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GitHub Copilot - Pros & Cons
Pros
- ✓Deep GitHub, IDE, CLI, and PR integration
- ✓Free and paid individual tiers
- ✓Supports quick completions and delegated work
Cons
- ✗Generated code can contain serious defects
- ✗Premium modes have credit constraints
- ✗Organization rollout needs privacy and policy controls
Continue - Pros & Cons
Pros
- ✓Open-source assistant for VS Code and JetBrains. This directly supports the primary workflow.
- ✓Bring-your-own-model: Anthropic, OpenAI, Ollama, local, any provider.
- ✓First-class MCP client — any MCP server becomes callable tools.
- ✓Continue Hub for sharing assistants, rules, prompts across a team.
Cons
- ✗At least one tier requires a sales quote, preventing a complete public budget calculation.
- ✗Features and limits can change by plan, billing interval, region, and release; verify current documentation.
- ✗MCP connectivity expands the permission surface and requires narrow scopes, approvals, logs, and credential rotation.
- ✗A representative pilot is necessary because a feature list does not establish reliability or operational fit.
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