GitHub Copilot is the best-value AI coding assistant in 2026, and for most developers it's the one to start with. It's the cheapest paid tier at $10/month, it works in six IDEs, and its free plan is genuinely usable. It's no longer the most powerful agent on the market — Cursor has taken that crown — but it's the easiest to justify and the hardest to outgrow. This review covers what it does well, where it lags, and exactly what the new usage-based billing means for your bill.

4.3 / 5

Verdict: The default AI coding assistant. Cheapest paid tier, widest IDE support, and deep GitHub integration — even if its agent trails Cursor's.

Best for: beginners, GitHub-native teams, and anyone who wants low-cost AI coding across many editors.

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What is GitHub Copilot?

GitHub Copilot is an AI pair-programmer from GitHub and Microsoft that suggests code as you type, answers questions in chat, and — increasingly — takes on multi-step agent tasks. It still holds around 42% market share, the largest of any coding assistant, largely because it drops into the editors developers already use and ties tightly into GitHub itself.

It runs across VS Code, the JetBrains suite, Visual Studio, Neovim, and more, and now offers a choice of models rather than only OpenAI's. The core value is breadth and integration: it's everywhere your code already is.

Key features

Completions and Next Edit

The bread and butter is inline completion — Copilot predicts the next lines as you type, and Next Edit suggestions propose the following change across your file. Crucially, both stay free of AI-credit charges under the new billing model, so everyday autocomplete never eats into your allowance.

Agent mode and Copilot Chat

Agent mode takes a task, plans it, edits across files, and runs commands, while Copilot Chat answers questions grounded in your repository. There's also a coding agent that can be assigned GitHub issues and open pull requests. It's capable, though on complex multi-file jobs it's a step behind Cursor's Composer.

GitHub integration

This is Copilot's real moat. It reviews pull requests, summarizes diffs, answers questions about your repo history, and works inside GitHub.com as well as your editor. For teams already living in GitHub, that end-to-end continuity is worth a lot.

IDE breadth and models

Six-plus IDEs is the widest support of any assistant here, and you can now pick between models including OpenAI and Anthropic options for different tasks. If your team is split across editors, Copilot is the only pick that covers everyone.

Output quality

On the SWE-bench benchmark, Copilot solved 56% of tasks — the highest of the major tools and slightly ahead of Cursor's 52%. The trade-off is speed: it averaged about 90 seconds per task versus Cursor's 63, so it's more accurate but slower.

In everyday coding the completions are reliable and the chat answers are solid. Like every tool here, it can produce confident, wrong suggestions, so review its output — but as a first draft of a function or a test, it's dependable.

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Pricing

In June 2026 every Copilot plan moved to usage-based billing built on GitHub AI Credits. Completions and Next Edit stay free of credit draw; agent and premium-model requests consume credits, and paid plans can buy more.

PlanPriceWhat you get
Free$0~2,000 completions/mo plus limited chat and premium requests
Pro$10/moUnlimited completions, agent mode, model choice, monthly AI Credits
Pro+$39/moEverything in Pro with the largest individual credit allotment
Business$19/user/moOrg controls, policy management, $19 in monthly AI Credits per seat
Enterprise$39/user/moAdvanced security, knowledge bases, $39 in AI Credits per seat

For a developer who mostly wants great autocomplete and occasional agent help, Pro at $10 is hard to beat. Compare the value directly in Cursor vs GitHub Copilot.

Pros & cons

Pros

  • Cheapest paid tier at $10/mo
  • Widest IDE support — six-plus editors
  • Genuinely usable free plan
  • Deep GitHub and pull-request integration
  • Highest SWE-bench accuracy of the majors

Cons

  • Agent mode trails Cursor's Composer
  • Slower per-task resolution in testing
  • Usage-based billing takes some learning
  • Fewer power-user customization hooks

Who it's for

Buy Copilot if you want the most affordable, most broadly supported AI coding assistant, especially if your team lives in GitHub or uses JetBrains editors. The free tier alone is enough for many casual coders. Look elsewhere if you want the strongest in-editor agent — Cursor is faster and more capable for heavy agent work, and Claude Code is better for big terminal refactors.

See the full field in our best AI coding assistants ranking.

Frequently Asked Questions

Is GitHub Copilot worth it in 2026?

Yes. At $10/month for Pro it's the best value in AI coding, works across six IDEs, and has a genuinely useful free tier. Power users who want the strongest agent may prefer Cursor at $20/month.

How much does GitHub Copilot cost?

There's a free plan, Pro at $10/month, Pro+ at $39/month, Business at $19/user/month, and Enterprise at $39/user/month. All plans use usage-based billing with GitHub AI Credits as of June 2026.

Does GitHub Copilot have a free plan?

Yes. Copilot Free gives individual developers around 2,000 code completions per month plus a limited number of chat and premium requests — enough for light use and evaluating the tool.

What changed with usage-based billing?

As of June 2026, every plan includes a monthly allotment of GitHub AI Credits. Completions and Next Edit suggestions don't consume credits; agent and premium-model requests do, and paid plans can purchase more.

Which IDEs does Copilot support?

VS Code, the JetBrains suite, Visual Studio, Neovim, and more — six-plus editors, the widest support of any assistant. That breadth is a major reason teams split across editors choose it.

Is Copilot or Cursor more accurate?

Copilot edged Cursor on SWE-bench at 56% vs 52%, but Cursor resolves tasks about 30% faster. Copilot is more accurate on that benchmark; Cursor is quicker and has stronger agents.

Can Copilot open pull requests?

Yes. Its coding agent can be assigned GitHub issues, work across files, and open pull requests, and it reviews and summarizes PRs. The GitHub-native integration is its biggest advantage.

Does Copilot support models other than OpenAI's?

Yes. Copilot now offers a choice of models, including Anthropic options, so you can pick a model suited to the task rather than being locked to a single provider.

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