Comparison · Last updated June 2026
Continue vs GitHub Copilot
Continue is an open-source AI coding assistant that lets you plug in any model, Claude, GPT, Llama, or a local Ollama instance, and run it free inside VS Code or JetBrains. GitHub Copilot is the most widely adopted assistant: a polished, managed product wired deep into GitHub, with a flat per-seat price and no model wrangling. The choice is control versus convenience.
🏆 Who should choose which?
Continue
GitHub Copilot
Continue
GitHub Copilot
📊 Quick specs
Quick verdict
Both Continue and GitHub Copilot earn a ToolChase score of 4.7/5, but they win for opposite reasons. Continue is the pick if you want control: it's open-source (Apache 2.0), free to run with your own API keys or a local model, and lets you swap between Claude, GPT, Gemini, and self-hosted Llama at will, ideal for privacy-sensitive shops and teams that want to avoid lock-in. GitHub Copilot is the pick if you want it to just work: deep GitHub integration, a managed model picker, code review and agent features, and a flat per-seat price with zero infrastructure to manage. Continue trades convenience for control; Copilot trades control for polish.
Continue
Open-source, model-agnostic AI coding assistant you fully control
Free (open-source) · Teams $20/seat/mo · Enterprise custom
Full review →
GitHub Copilot
The default GitHub-integrated AI coding assistant, managed for you
Free · Pro $10/mo · Business $19/user/mo
Full review →What is Continue?
Continue is an open-source AI coding assistant (Apache 2.0) that runs as an extension in VS Code and JetBrains IDEs. Its defining trait is model agnosticism: instead of a single built-in model, you point Continue at whatever LLM you want, Anthropic Claude, OpenAI GPT, Google Gemini, or a local model served through Ollama or vLLM, using your own API keys. That makes the assistant itself free; you pay only the underlying model provider, and a local model costs nothing at all. Continue supports inline autocomplete, chat, edit, and agent-style workflows, plus a Hub of shareable assistants, rules, and prompts. Paid Teams and Enterprise tiers add managed hosting, shared private assistants, access controls, SSO, and enterprise support for organizations that want governance on top of the open core.
What is GitHub Copilot?
GitHub Copilot is the most widely adopted AI coding assistant, built by GitHub and OpenAI and deeply integrated into the GitHub ecosystem and major IDEs (VS Code, Visual Studio, JetBrains, Neovim). It offers inline autocomplete, a chat assistant, an autonomous coding agent, pull-request summaries, and Copilot code review. Rather than asking you to manage models, Copilot exposes a curated picker (GPT, Claude, and Gemini variants) and meters usage through a monthly allowance of GitHub AI Credits, as of June 1, 2026 every plan moved to usage-based billing, where each plan includes a credit allotment and overages bill at per-token rates. It ships a genuine free tier, a $10/mo Pro plan, a $39/mo Pro+ plan, and Business and Enterprise tiers for organizations that want policy controls and audit logs.
Key differences at a glance
Open source vs managed: Continue is open-source (Apache 2.0), you can read, fork, and self-host it, and run it entirely offline with a local model. GitHub Copilot is a closed, fully managed SaaS product; you get polish and zero setup but no access to the internals and no offline mode.
Model choice: Continue is model-agnostic: you bring your own model and switch freely between Claude, GPT, Gemini, Llama, or anything you self-host. Copilot gives you a curated picker of approved models and meters them through credits, convenient, but you can't point it at an arbitrary or private model.
Pricing shape: Continue's extension is free; you pay only your chosen model's API (or $0 for a local model), with optional Teams at $20/seat/mo for governance. Copilot charges a flat per-seat fee, Free, Pro $10/mo, Business $19/user/mo, now wrapped in usage-based AI Credits that can bill overages.
Ecosystem integration: Copilot is wired into GitHub: PR summaries, code review, issues, and Actions feel native. Continue lives in the editor and is IDE-first; it doesn't have the same first-party hooks into a Git host, though it works with any provider.
Privacy & governance: Continue can run fully local with a self-hosted model, so code never leaves your machine, a major draw for regulated or secrecy-sensitive teams. Copilot sends context to GitHub/OpenAI infrastructure; Business and Enterprise tiers add policy controls but not local execution.
Setup effort: Copilot is install-and-go: sign in, pick a plan, start coding. Continue requires you to configure a model and API keys (or stand up a local model), which is more upfront work in exchange for flexibility and lower or zero ongoing cost.
Pros and cons
Continue
Strengths
- Fully open-source (Apache 2.0), auditable, forkable, and self-hostable
- Model-agnostic: use Claude, GPT, Gemini, Llama, or a local Ollama model and swap anytime
- The extension itself is free; a local model can run at $0 ongoing cost
- Can run entirely offline/on-prem, so sensitive code never leaves your environment
- Continue Hub lets teams share reusable assistants, rules, and prompts
Limitations
- Requires setup, you must configure a model and API keys (or self-host) before it works
- No native GitHub/PR integration like code review or pull-request summaries
- BYO-model means you absorb provider API costs and manage rate limits yourself
GitHub Copilot
Strengths
- Polished, zero-setup experience that works the moment you sign in
- Deep GitHub integration: PR summaries, Copilot code review, issues, and Actions
- Coding agent and curated model picker (GPT, Claude, Gemini) without managing keys
- Genuine free tier plus low $10/mo Pro entry point for individuals
- Backed by GitHub/Microsoft with broad IDE support and the largest user base
Limitations
- Closed-source and cloud-only, no self-hosting or offline/local execution
- Usage-based AI Credits (since June 1, 2026) can produce overage charges beyond the flat fee
- No arbitrary model choice, you're limited to GitHub's curated picker
Pricing comparison
Continue is free at its core: the Continue extension is open-source under Apache 2.0, and the Solo tier costs $0/developer/month. You bring your own model, a local model via Ollama costs nothing, while cloud APIs (Claude, GPT, Gemini) are billed directly by the provider, typically a few dollars a month for moderate individual use. For organizations, the Teams plan is $20/seat/month and adds managed hosting, shared private assistants, access controls, and BYOK. The Enterprise tier is custom-priced and adds SSO, on-prem/self-hosted deployment, and enterprise support. Crucially, you never pay Continue for model inference, only the provider, or nothing at all if you run locally. Verified June 2026 from www.continue.dev.
GitHub Copilot offers a free tier (Copilot Free) with a limited monthly allotment of completions and chat messages and no credit card required. Paid individual plans are Pro at $10/mo ($100/yr) and Pro+ at $39/mo, each including a matching monthly allotment of GitHub AI Credits. Organization plans are Business at $19/user/mo and Enterprise at $39/user/mo. As of June 1, 2026, all Copilot plans moved to usage-based billing: each plan bundles a monthly AI-Credit allowance (1 credit = $0.01), and usage beyond the included allowance bills at per-token rates. That means the flat headline price is a floor, and heavy users on premium models can incur overages. Verified June 2026 from github.com.
For an individual, Continue can be effectively free, run a local model and pay nothing, or bring an API key and pay only the provider a few dollars a month, while Copilot starts at a free tier and $10/mo Pro. At team scale the math diverges: Continue's $20/seat/mo Teams plan is for governance on top of a free engine you still feed your own model into, whereas Copilot's $19/user/mo Business is all-in but now carries usage-based credit overages. Cheapest overall favors Continue if you're comfortable managing models; Copilot wins on predictability of setup, not necessarily of bill. For team-by-team cost modelling, use our AI Cost Calculator.
Which tool should you choose?
Choose Continue if you…
- → you want full control: open-source code, self-hosting, and the freedom to use any model
- → privacy or compliance requires that code never leave your machine or network
- → you want to minimize cost by running a local model or paying only a model provider directly
Choose GitHub Copilot if you…
- → you want a polished, zero-setup assistant that works the moment you sign in
- → your team lives in GitHub and wants native PR summaries, code review, and agent features
- → you'd rather pay a simple per-seat fee than configure models, keys, and infrastructure
Not sure which fits your workflow? Take our AI Tool Finder Quiz for a recommendation based on your role and needs.
Bottom line: Continue vs GitHub Copilot
Continue and GitHub Copilot solve the same job, AI help inside your editor, from opposite philosophies. Continue is the open-source, model-agnostic choice: free to run, self-hostable, private, and flexible, at the cost of setup and the absence of native Git-host integration. It's the right call for teams that want control, want to avoid lock-in, or can't send code to a third party.
GitHub Copilot is the managed default: polished, deeply integrated with GitHub, and effortless to adopt, but closed-source, cloud-only, and now metered with usage-based credits. ToolChase scores both 4.7/5, they're equally strong, just for different buyers. Pick Continue for control and privacy; pick Copilot for convenience and GitHub-native depth.
🔄 Switching? Keep in mind
Switching between these isn't a data export so much as a workflow shift. Moving from Copilot to Continue means choosing and configuring a model (or standing up a local one) and giving up native PR/code-review hooks in exchange for control and lower cost. Going the other way means dropping your BYO-model setup and accepting Copilot's curated picker and usage-based credits, but gaining zero-maintenance polish and GitHub integration. Custom rules, prompts, and assistant configs don't transfer between platforms, so plan to recreate them. Also re-check billing assumptions: Continue's cost depends on your model provider, while Copilot's flat seat price can grow with credit overages.
Frequently asked questions
What's the main difference between Continue and GitHub Copilot?
Continue is an open-source, model-agnostic coding assistant: the extension is free, you bring your own model (Claude, GPT, Gemini, or a local one), and you can even self-host it so code never leaves your machine. GitHub Copilot is a closed, fully managed product wired deep into GitHub, with a curated model picker, a polished zero-setup experience, and a flat per-seat price. Continue optimizes for control and privacy; Copilot optimizes for convenience and ecosystem integration.
Is Continue really free?
Yes, the Continue extension is open-source under Apache 2.0 and the Solo tier is $0. The catch is that you supply the model: a local model via Ollama runs at no cost, while cloud APIs like Claude or GPT are billed directly by the provider (often a few dollars a month for moderate use). Continue itself never charges for inference. The paid Teams ($20/seat/mo) and Enterprise tiers exist only for governance features like SSO, shared assistants, and self-hosted deployment.
Does GitHub Copilot have a free plan?
Yes. Copilot Free gives you a limited monthly allotment of code completions and chat messages with no credit card required, enough to try it but capped for regular use. Paid plans are Pro at $10/mo, Pro+ at $39/mo, Business at $19/user/mo, and Enterprise at $39/user/mo. As of June 1, 2026, all plans moved to usage-based billing, so each tier includes a monthly AI-Credit allowance and heavier usage can bill overages on top.
Which is better for privacy and keeping code on-premise?
Continue, clearly. Because it's open-source and model-agnostic, you can run it entirely with a local or self-hosted model, meaning your code never leaves your machine or network, a major reason regulated and secrecy-sensitive teams choose it. Copilot is cloud-only: it sends context to GitHub/OpenAI infrastructure. Copilot's Business and Enterprise tiers add policy and audit controls, but they do not offer local or offline execution the way Continue can.
Which is cheaper, Continue or GitHub Copilot?
It depends on how you run it. Continue can be effectively free if you use a local model, or just the cost of a provider API key (often a few dollars a month), its $20/seat/mo Teams plan is only for governance. Copilot starts free, with Pro at $10/mo and Business at $19/user/mo, but its June 2026 shift to usage-based credits means heavy users can pay overages. For cost-minimizers comfortable managing models, Continue usually wins; Copilot wins on simplicity of setup.
Can I use Claude or GPT with both tools?
With Continue you have full control, point it at Anthropic Claude, OpenAI GPT, Google Gemini, or a self-hosted Llama using your own API keys, and switch whenever you like. GitHub Copilot also offers Claude, GPT, and Gemini variants, but through a curated model picker metered by AI Credits; you can't add an arbitrary or private model. So both support the major models, but only Continue lets you bring any model, including ones you host yourself.
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