Claude Code vs GitHub Copilot CLI: pricing, features and which to choose

Claude Code is Anthropic's agentic coding tool, launched in June 2025. It reads repositories, edits files, runs commands, and operates through the terminal, VS Code, JetBrains, desktop app, and web. The product targets developers working on features, bugs, tests, dependency updates, migrations, and release tasks. Anthropic added Claude Code to enterprise offerings in August 2025 after first making it available through individual accounts. Anthropic does not publish a standalone Claude Code user count or funding figure. The company said in March 2026 that Claude Code's run-rate revenue had surpassed $2.5 billion, although TechCrunch reported that figure as a company statement rather than a user metric. The product remains active, with frequent releases and changing model availability.

A typical session starts in a project directory or connected repository. The developer describes a task, Claude Code examines relevant files, proposes a plan, edits files, runs tests or shell commands, and reports results. It can stage changes, write commit messages, create branches, and open pull requests. Developers can guide behavior with CLAUDE.md files, skills, hooks, permissions, and MCP connections to services such as Jira, Slack, or Google Drive. GitHub Actions and GitLab CI/CD support automated review and issue triage. Desktop and web sessions add visual diff review, parallel cloud tasks, and scheduled work. The agent can spawn subagents, but command approvals, test results, generated edits, and security findings still need engineering review.

Claude Code suits developers who can review diffs, run tests, manage permissions, and control token spending. It is less suitable for unattended production changes, deterministic analysis, or users who only want inline completion. GitHub Copilot CLI offers a closer GitHub-centered alternative, Gemini CLI emphasizes Google's tooling and models, and Cursor remains more editor-centered. Claude Code's strongest case is repository-wide work combining planning, file edits, shell commands, tests, Git, and external tools. Its main tradeoffs are shared subscription limits, changing model access, and the need to inspect generated work. Pick Claude Code if terminal or repository-wide agent workflows matter more than lightweight autocomplete.

GitHub Copilot CLI is GitHub's terminal-native coding agent, launched in public preview in September 2025. It is distributed as the @github/copilot npm package and uses a GitHub account for authentication. The product works with local repositories while connecting to GitHub context, including repository history, issues, and pull requests. GitHub documents support for Linux, macOS, and Windows, with PowerShell 6 or later required on Windows. The current CLI is distinct from the older gh-copilot extension. GitHub announced that gh-copilot would stop working on October 25, 2025, and presented the agentic CLI as its replacement. That distinction matters because the older extension offered command suggestions, while the current product can plan and execute multi-step repository work.

A normal session starts with copilot in a repository and a natural-language request. The agent can inspect files, propose a plan, edit code, debug, refactor, and run terminal commands. GitHub context lets it work from repository tasks, issues, and pull requests, while the included GitHub MCP server connects the session to GitHub capabilities. Custom MCP servers and custom agents extend that setup. GitHub says each file change and command execution requires explicit approval. Release notes also describe streaming output, parallel tool calls, model selection, image input, session continuation, delegated work, and granular tool permissions. The workflow combines shell access with repository context, but users must review proposed edits and commands before allowing them, particularly when a request can affect files or external GitHub state.

Copilot CLI suits developers who keep repositories, issues, and pull requests in GitHub and want organization controls around terminal agents. Its limits are clear: it requires GitHub authentication, access depends on a Copilot plan, and agent work consumes credits. The product also depends on remote GitHub-hosted AI services, so it is not a local-only runtime or a self-hosted deployment. Crush offers provider and local-model choice, Claude Code centers Anthropic's service, and OpenCode emphasizes support for multiple providers. Pick Copilot CLI when GitHub context and centralized policy outweigh endpoint freedom. Pick Crush for local models, Claude Code for Anthropic-centered workflows, or OpenCode for provider flexibility.