Claude Code vs GitHub Copilot: which one fits your team

Claude Code is Anthropic's agentic coding tool: it reads your codebase, edits files and runs commands, and you use it from the terminal, an IDE, a desktop app or the browser. GitHub Copilot is GitHub's AI assistant, which suggests code as you type and has agents that take on tasks you assign in the IDE, the terminal or on GitHub. Claude Code runs only Claude models, while Copilot lets you choose models from OpenAI, Anthropic, Google and others. As of Oct 12, 2026, Claude Pro costs $20 a month billed monthly and Copilot Pro costs $10 a month.

Product details are from Anthropic's and GitHub's docs and pricing pages as of that date. Bug Bench, our public benchmark of AI-written code, covers Claude Code but not Copilot, so it can't rank one against the other. For more agents side by side, see our guide to the best AI coding tools and agents.

Claude Code vs GitHub Copilot at a glance

Where each one runs

Claude Code runs the same engine on every surface. The claude CLI has the full feature set, and scripting and the Agent SDK work only in the CLI. The VS Code extension shows inline diffs, the JetBrains plugin runs the CLI in your IDE's terminal, and the desktop app for macOS and Windows (Linux is in beta) adds a diff viewer and parallel sessions. Cloud sessions run on Anthropic-managed infrastructure by default and keep going after you close your laptop. Claude Code also takes tasks from Slack and runs in GitHub Actions and GitLab CI/CD (platforms and integrations). For a team rollout, our guide on how to use Claude Code goes from install to permission modes.

Copilot's IDE extensions reach more editors: VS Code, Visual Studio, JetBrains IDEs, Eclipse and Xcode. In the editor you get inline suggestions (dimmed text at your cursor), next edit suggestions that predict where your next change goes and what it is, and Copilot Chat. Copilot CLI brings the agent to the terminal, and the GitHub Copilot app is a desktop app for agent sessions across repositories. On GitHub.com you can ask about a repository or hand an issue to the cloud agent, and GitHub Mobile has chat (where to use Copilot).

For suggestions while you type, use Copilot. Anthropic's docs for the desktop app say it "doesn't offer autocomplete-style code completions" and works through conversational prompts and explicit code changes.

How each one works through a task

Claude Code: one agent loop, with permission modes

Anthropic describes the loop in three phases: gather context, take action and verify results. Claude searches and reads files, makes edits, runs tests and repeats until the task is done, and you can interrupt it at any point (how Claude Code works).

The permission mode decides what Claude may do without asking, and in the CLI, Shift+Tab switches between modes (permission modes):

• Manual asks before most file edits and shell commands.

• Accept edits lets Claude edit files and run common filesystem commands such as mkdir and mv, and still asks about other commands.

• Plan lets Claude explore and propose a plan, and blocks edits until you approve it.

• Auto hands approval to a second model, a classifier that checks actions in the background and blocks risky ones. From Claude Code v2.1.283 it's the starting mode for interactive terminal and VS Code sessions.

• dontAsk, meant for locked-down CI, denies anything that would prompt, so only reads and pre-approved tools run. bypassPermissions skips the checks and is meant only for isolated containers and VMs.

Before Claude edits a file, it snapshots the contents, and pressing Esc twice rewinds to an earlier state. Checkpoints cover only local file changes; database writes, API calls and deployments can't be rewound. For side tasks that would flood the main conversation, such as a wide code search, subagents work in their own context window and return a summary.

GitHub Copilot: different controls on each surface

In VS Code, Copilot Chat has Ask, Agent and Plan modes, and the set varies by IDE (chat in your IDE). In agent mode, Copilot decides which files to change, edits them, runs terminal commands and iterates until the task is done. By default you approve each command before it runs, though an admin or your own editor settings can let some commands run automatically. Plan mode drafts a plan with steps and open questions, and Start Implementation hands it to agent mode.

Copilot CLI asks you to trust the directory you launch it from, then asks before it uses a tool that can modify or run files. You can approve a tool for the rest of the session, or set --allow-tool, --deny-tool and --allow-all-tools up front. Shift+Tab switches to a plan mode, and /sandbox enable limits its access to your filesystem, network and system (Copilot CLI).

The cloud agent runs in the background, in an ephemeral cloud development environment on GitHub. You start it from the agents panel, a chat, or an issue or pull request, and GitHub puts limits around it:

• Only people with write access to the repository can trigger it.

• It pushes to one branch: a new copilot/ branch, or the pull request's branch when you mention @copilot on an existing pull request.

• A human has to review and merge its draft pull requests, and by default GitHub Actions workflows don't run until someone with write access approves them.

• GitHub restricts its internet access with a firewall, a session stops after 59 minutes, and each task covers one repository and one pull request.

Claude Code's closest equivalent is a cloud session. It runs on Anthropic-managed infrastructure or your organization's self-hosted environment, clones the repository from GitHub, and pushes a branch you can open a pull request from. Cloud sessions come with Pro, Max and Team plans and with Enterprise premium or Chat + Claude Code seats, and they count against your plan's usage limits with no separate charge for the VM (Claude Code in the cloud).

Copilot can also hand a task to Anthropic's Claude agent or OpenAI Codex on GitHub. Both are in public preview and run under the same protections and limits as Copilot's own cloud agent.

Models

Claude Code runs Claude models. On Anthropic's API, the fable, opus, sonnet and haiku aliases point to Fable 5.1, Opus 5.5, Sonnet 5.5 and Haiku 5.5, and /model switches between them. Opus 5.5 is the default on Pro, Max, Team, Enterprise and the API. No plan defaults to a Fable model, and depending on your plan and seat, Fable usage can bill to usage credits instead of your plan's included limits. Claude Code also runs on Amazon Bedrock, Google Cloud's Agent Platform and Microsoft Foundry, where some aliases point to older versions; on Foundry the default is Sonnet 4.5 (model configuration).

Copilot draws on several labs. GitHub's supported-models list has OpenAI's GPT models up to GPT-6.1 Sol, Claude Haiku, Sonnet, Opus and Fable models, Google's Gemini 3.7 and 3.8 Flash, xAI's Grok, Moonshot AI's Kimi K3 and Microsoft's MAI-Code-1.1-Flash (supported models). Which ones you can pick depends on your plan, your client and your organization's policies, and Copilot Free and Student reach models only through auto model selection. Copilot CLI and the Copilot app can also use your own model provider, such as an OpenAI-compatible endpoint, Azure OpenAI or Anthropic.

On Business and Enterprise, both Fable models stay off until an admin enables them, because GitHub's data retention agreement doesn't cover them. GitHub's docs say Anthropic retains Fable prompts and outputs by default to run safety classifiers.

Customization: CLAUDE.md vs Copilot custom instructions

Both tools load project rules from files in the repository, and several of those files work in both.

Support varies by surface. Copilot's prompt files don't work on GitHub.com or in Copilot CLI, and its hooks run in the cloud agent and the CLI, with VS Code support in preview (customization cheat sheet).

Running both on one repository

Each tool reads some of the other's files. Copilot uses AGENTS.md or a root CLAUDE.md as agent instructions, though not every Copilot feature supports them, and it loads skills from .claude/skills/. Claude Code reads AGENTS.md when the repository has no CLAUDE.md, and its /init command folds .github/copilot-instructions.md into the CLAUDE.md it writes (memory and instructions). Anthropic's docs describe keeping AGENTS.md as the one shared file and putting an @AGENTS.md import in CLAUDE.md when a project needs both. Our post on CLAUDE.md and AGENTS.md walks through a setup with one source of truth.

Hooks are shared only in part. Copilot CLI reads the hooks in a repository's .claude/settings.json as well as its own .github/hooks/*.json, while Copilot's cloud agent loads only .github/hooks/*.json.

When cubic reviews a pull request, it reads CLAUDE.md, AGENTS.md, copilot-instructions.md and skills in .claude/skills/ as context, so the conventions you write for either agent also reach review.

Pricing and plans

Prices are as of Oct 12, 2026. Claude Code comes with every paid Claude plan, and the free Claude plan doesn't include it. Copilot has a free tier, and all Copilot plans include Copilot CLI and the Copilot app.

Usage is counted differently. A Claude plan has one usage pool for Claude chat and Claude Code, with limits that reset on a rolling five-hour window plus weekly limits on paid plans, and you can move heavy sessions to pay-as-you-go API credits through a Console account (Claude pricing).

Copilot meters chat and agent work in GitHub AI Credits, priced by model and tokens at $0.01 a credit. Copilot Pro includes 1,000 base credits plus a 500-credit flex allotment, each Business seat adds 1,900 credits a month to a shared pool, and code completions and next edit suggestions don't use credits on paid plans (Copilot plans). On individual plans, included credits reset on the first of each month and don't carry over (usage-based billing).

What Bug Bench shows, and what it can't

Bug Bench ranks AI coding models by the bugs cubic finds in the code they write. A model's relative bug rate is its counted bugs per AI-attributed line in the code we reviewed, divided by the rate across all AI-attributed lines in the ranking window, so 1.00 is average and lower is better. A counted bug is a review finding on AI-written code that a developer upvoted or an AI coding agent addressed.

Bug Bench reports five coding agents: Claude Code, Codex, Cursor, OpenCode and Pi (coding agents). Copilot isn't one of them, so Bug Bench has no Copilot rate to set beside Claude Code's. Claude Code wrote 78.1% of the AI-written code we reviewed in the week of Oct 5 (AI coding statistics). That share describes code reviewed by cubic, not the whole market.

Inside Claude Code, Bug Bench ranks four models:

"Statistically tied" means the two models' 95% confidence intervals overlap. Opus 5.5 is Claude Code's default on every paid Claude plan and the API, and it has the highest rate of the four.

Opus 5.5 and Sonnet 5.5 are newer, so their rates rest on fewer weeks of data: three and two weeks of the window, against six or more for the other two. Bug Bench is observational, not causal: teams choose their models, so each rate reflects the code a model was used for as well as the model.

Which one fits which team

The GitHub Copilot vs Claude Code choice turns on where your developers work and how much they hand to an agent. Copilot is the easier fit when your developers want suggestions while they type and an agent in the same extension, or work in Visual Studio, Eclipse or Xcode, where Copilot has an extension and Claude Code's docs list no integration. It also suits teams that want models from several labs under one admin policy, or that plan work in GitHub issues and want to assign them to an agent that opens a draft pull request.

Claude Code fits a team that hands whole tasks to an agent and checks the result, in the terminal, the desktop app or the cloud. It gives you more control points over the agent: six permission modes and more than 30 hook events, against Copilot's 14. It's also the simpler choice if you already pay for Claude, since one plan covers chat and coding, or if you buy model access through Amazon Bedrock, Google Cloud's Agent Platform or Microsoft Foundry.

You can also run both on one repository, since they share AGENTS.md and .claude/skills/. Whichever agent writes the change, send it through a pull request so a teammate checks it before merge. If your team uses AI code review, that review runs on the same pull request. Our guide on how to review AI-generated code covers how agent-written code fails and a step-by-step review order.

FAQ

Can Claude Code be used in GitHub Copilot?

Partly: Copilot can run Anthropic's Claude coding agent, but Claude Code itself still needs a Claude plan, a Console account or a cloud provider such as Amazon Bedrock. The Claude agent in Copilot is built on the Claude Agent SDK, draws on your Copilot subscription and is in public preview (Anthropic Claude in Copilot). You assign it an issue or mention it on a pull request, and each session uses Copilot AI credits and GitHub Actions minutes. Its model list is Auto, Claude Sonnet 4.6, Sonnet 5, Opus 4.8 (with a fast mode in preview), Opus 5 and Fable 5.1.

Is GitHub Copilot cheaper than Claude Code?

At list price, yes. As of Oct 12, 2026, Copilot Pro is $10 a month against $20 for Claude Pro billed monthly, and a Copilot Business seat is $19 a month against $25 for a Claude Team Standard seat billed monthly. Beyond that it depends on use: paid Copilot plans take 10% off model costs when auto model selection picks the model, and when a Claude plan hits its limit, you can wait for the reset, move up a plan, or turn on usage credits billed at API rates.

Is Claude more accurate than Copilot?

Claude is a model family and Copilot is a tool that can run it: Copilot's model list includes Claude Sonnet 5.5, Opus 5.5 and Fable 5.1, depending on plan and policy. That makes it a question about the same model inside two different tools, and Bug Bench can't answer it, because it rates models inside each coding agent it tracks and Copilot isn't one of them. For model-to-model numbers, Bug Bench's compare pages put two models side by side, such as Claude Opus 5.5 vs Claude Sonnet 5.5.

What's the difference between Claude Code and Copilot with Claude models?

You can run the same Claude model in both, and the differences come from the tool around it. Claude Code wraps the model in its own permission modes, checkpoints and memory files, and Sonnet 5.5 and Opus 5.5 run there with their native 1 million token context window. In Copilot, the 1 million token option exists only in VS Code and Copilot CLI, and choosing it uses more AI credits. Billing differs as well: Claude Code draws on your Claude plan's usage limits, while Copilot charges AI credits per token at each model's price.