GitHub Copilot vs Claude Code: Which to Pick

Pick GitHub Copilot if you want inline suggestions inside the editor you already use, plus an agent, starting at $10 a month. Pick Claude Code if the agent is the main interface and you want skills, subagents and hooks around it. Copilot can also hand work to Claude on its higher plans, so the choice is not all or nothing. Prices below were read from each vendor on 31 October 2026.

The short version

Two different shapes of product

Copilot started as autocomplete and grew an agent. Its plans page now lists inline suggestions, agent mode, code review, a coding agent in the cloud that you assign work to, a CLI, and a desktop app. It runs in Visual Studio Code, Visual Studio, JetBrains IDEs, Xcode, Vim, Neovim, Zed and Eclipse, on github.com and mobile, in Slack and in Teams, and in the terminal.

Claude Code started as the agent. The docs describe an agentic coding tool that reads your codebase, edits files, runs commands, and integrates with your development tools. It runs in the terminal, in VS Code and JetBrains, in a desktop app, and in the browser. There is no inline tab-completion feature in its feature list.

This shapes everything else. Copilot assumes you are typing and offers help. Claude Code assumes you are describing and reviewing.

Plans side by side

GitHub's page shows two numbers for each plan, which looks like a contradiction until you read it. The base is the monthly price, and a "flex" allotment of credits is added on top. One AI Credit is $0.01.

The page says the flex allotments "may change over time," so treat the extra credits as variable. The Free plan allows 2,000 completions a month and entry-level models, and it supports the CLI and agent mode within its limits.

At $100, the two products land on the same price. At the low end, Copilot is half the cost, and it includes things Claude Pro does not, such as unlimited inline completions. At the high end, both give you a large pool for agent work.

How usage is metered

Copilot. GitHub AI Credits pay for chat and agent work. How many credits an interaction uses depends on the model and the task: GitHub's example is that a quick question to a lightweight model costs a fraction of a credit, while a long agent session on a frontier model across many files costs more. When you run out, you can wait for the monthly reset, set a dollar budget for extra usage (credits draw down at $0.01 each, so $10 buys 1,000 credits), or switch to a cheaper model. Usage alerts fire at 75, 90 and 100 percent of a configured budget.

Claude Code. Pro, Max and Ultra give you included usage that resets on a five-hour window and a weekly window. The /usage screen shows plan usage bars and a breakdown of what counts against your limit, split into skills, subagents, plugins and individual MCP servers. If you go through the API instead, you pay per token, and Anthropic's own enterprise averages are about $13 per developer per active day and $150 to $250 per developer per month.

Neither metering model lets you predict a bill from the headline price alone. Run your normal week and read the usage screen.

Models

Copilot's plans page lists a long set of models across vendors. At the time we read it, the list included Anthropic Claude models (Fable, Haiku, Sonnet and Opus families), OpenAI GPT and Codex models, Google Gemini models and a Microsoft model. The page shows the same list under Free and Pro, with the usual caveat that "model options may vary by feature." Because the list changes often, we do not copy version numbers here.

Claude Code runs Claude models. Its model docs describe aliases such as opus, sonnet, haiku, fable and best, and an opusplan mode that uses Opus in plan mode and Sonnet to execute. Third-party providers are supported in the terminal CLI, VS Code and JetBrains.

If model variety matters to you, Copilot is broader on its face. If you want the agent built by the model's maker, that is Claude Code.

The terminal

Both have a terminal agent, so the difference is how much sits around it.

Copilot CLI runs on Linux, macOS and Windows (from PowerShell or WSL). It supports MCP servers, with --allow-tool and --deny-tool flags that can target a whole MCP server or a single tool on it. A command like copilot --allow-tool='My-MCP-Server' --deny-tool='My-MCP-Server(tool_name)' approves everything on one server except one tool. An assisted-permissions mode lets a model judge eligible permission requests and approve the ones it considers safe. On macOS and Windows you can enable computer use in local sessions so Copilot can drive desktop apps that have no API.

Claude Code adds CLAUDE.md memory (or AGENTS.md), skills, hooks, subagents and plugins on top of MCP. Its permission system matches bash rules against the full command text and understands operators like && and |, so an allow rule for one command does not stretch to cover a chained second one.

For a mixed team, the choice usually comes down to whether you want one integrated product (Copilot) or a toolkit you configure (Claude Code).

Reviews, pull requests and the cloud

Copilot's strength is that it lives where your code lives. The plans page lists: assign work to Copilot and it creates a pull request; pull request reviews in GitHub; file diff reviews in editors; custom instructions with instructions.md; and a coding agent in the cloud that researches, plans and writes code with or without a pull request. The Free plan does not include these.

Claude Code reaches the same places from the other side: GitHub Actions and GitLab CI/CD for review and issue triage, GitHub Code Review on each PR, an @Claude mention in Slack that returns a pull request, and a web version that works on repos you do not have locally. Cloud scheduled tasks can run on a timer or trigger on GitHub events.

If your team's whole workflow sits on GitHub issues and pull requests, Copilot is the shorter path. If it spans GitHub, GitLab and Slack, Claude Code covers more ground.

Using them together

Two combinations are documented.

1. Delegate from Copilot to Claude. GitHub's plans page says that delegating tasks to third-party coding agents like Claude by Anthropic and OpenAI Codex (Preview) is included on Pro+ and Max, and not on Free or Pro.
2. Run Claude Code in the same editor. The Claude Code extension installs in VS Code and JetBrains, where Copilot's completions also work. Completions stay on, and you invoke Claude Code for bigger jobs. We did not find any statement that the two conflict.

That second setup costs both subscriptions. Whether the pair is worth $30 a month (Copilot Pro plus Claude Pro, billed monthly) is a question about whether you use both heavily.

Data handling

GitHub's plans page notes that Copilot processes personal data depending on how it is accessed, and gives you a setting for whether suggestions may match publicly available code on GitHub.com. Business and Enterprise plans give admins control over usage limits.

Anthropic's data-usage page says that for Free, Pro, Max and Ultra accounts there is a setting that allows your data to be used to improve future models, including Claude Code use, with a five-year retention period for users who allow it. For Team, Enterprise, API and third-party platform use, Anthropic says it does not train generative models on Claude Code inputs under commercial terms unless the customer opts into a program.

Check the data setting on the plan you buy. An individual plan and a business plan on the same vendor can behave differently.

Where Copilot is stronger

• A $10 starting price, and a free plan with 2,000 completions.
• Unlimited inline suggestions and next edit suggestions on paid plans, and these do not draw credits.
• Wide editor coverage, including Xcode, Eclipse, Vim, Neovim and Zed.
• Native GitHub features: PR creation from an assigned issue, review comments, org-wide credit pools with spending controls.
• A long list of models from several vendors under one plan.

Where Claude Code is stronger

• Depth of agent tooling: skills, subagents, hooks, plugins, and an Agent SDK for building your own agents.
• A single engine across terminal, VS Code, JetBrains, desktop and web, plus handoff between them.
• Non-interactive use in scripts and CI with claude -p.
• Scheduled cloud tasks that run when your computer is off.
• Usage breakdown by skill, subagent, plugin and MCP server.

Which to pick

Choose Copilot when:

• You want help while typing, and agents only now and then.
• Your organization is on GitHub and wants a single admin console.
• You need editor coverage beyond VS Code and JetBrains.
• $10 a month is the budget.

Choose Claude Code when:

• You describe tasks and review results more than you type.
• You script the agent or schedule it.
• You want the configurable parts (hooks, skills, subagents) as first-class features.

Pay for both when:

• You use completions all day and also hand off multi-file jobs. Or use Copilot Pro+ or Max and delegate to Claude from inside GitHub.

Moving between them

From Copilot to Claude Code, your instructions are the part that moves. Copy repository custom instructions into a CLAUDE.md, or make an AGENTS.md that Claude Code reads in place of it. Re-add MCP servers with claude mcp add. Nothing needs to leave your repo, since both tools work on a normal git checkout.

From Claude Code to Copilot, the same file works if you keep it as AGENTS.md, and Copilot's custom instructions can be set at the repository level.

A short checklist

• Count how many hours a week you want completions versus agent runs.
• Check which editors your team uses and whether Copilot supports them.
• Read the credit rules, not the headline price, on both sides.
• Decide who owns the data setting for individual accounts.
• Run the same task on both and read the diffs. We did not run that test for this page.

Our take

Going by the documented facts, Copilot is the lower-friction choice for most developers who already live in an editor and on GitHub. It is cheap to start, it is broad on editors and models, and its completions are unmetered. Claude Code is the deeper choice for anyone who wants the agent to be the center of the workflow, with scripting and automation around it.

The price comparison is closer than the headline suggests. Pro at $10 against $20 favors Copilot, but at $100 the two plans cost the same, and what you get is different: GitHub gives you a credit pool for chat and agents across many models, and Anthropic gives you five times Pro usage of its own models plus priority access.

We have not tested either on a shared task, so we do not rank them on output quality. If you cannot decide, the Pro+ and Max tiers of Copilot that can delegate to Claude are the one place where a single bill buys access to both.

Related

• Cursor vs GitHub Copilot
• Cursor vs Claude Code
• GitHub Copilot
• Claude Code
• Free AI agents
• How we compare