Claude Code vs Goose: 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.

Goose is Block’s open source terminal AI agent for developers and technical teams. Launched on January 28, 2025, it began with software engineering work such as code migrations, dependency installation, test execution, and file changes, then expanded toward research, writing, automation, and data analysis. The project uses the Apache License 2.0, allowing commercial use, modification, and distribution subject to its terms. Goose runs on the user’s machine through desktop applications for macOS, Linux, and Windows, plus a terminal client and API. Users can edit files, execute commands, and run tests. The project is active, costs $0, and does not include model usage. Block reported that about 12 specialists built the original system over nine months.

A Goose session starts in the desktop app or CLI after the user selects a language model provider. Goose sends the request and tool descriptions to that model, executes returned tool calls, and sends results back for another turn. Built in and external MCP extensions can add shell commands, file operations, web access, memory, browser automation, and application specific actions. Users can save sessions, resume them across desktop and CLI, create reusable recipes, and connect remote MCP services. Permission modes include automatic execution, approval before actions, conversation without tools, and smart approval. Permissions can also be set for each extension with allow, deny, or approval behavior. Goose supports hosted providers and local Ollama models.

Goose fits developers automating code changes, tests, shell workflows, and repeatable MCP recipes, along with teams requiring Apache licensed software, local execution, provider choice, and configurable permissions. It is less suitable for people seeking a zero setup hosted coding assistant, teams unable to review commands and extension permissions, or users wanting one bill that includes model usage. Continue and Gemini CLI are closer terminal alternatives, while Claude Code and Cursor offer more managed coding experiences. Compared with Gemini CLI, Goose puts more emphasis on model independence, local deployment, desktop and CLI access, MCP extensions, and configurable autonomy. Choose Goose when those priorities matter more than bundled inference and simpler onboarding. Developers and technical teams wanting local, open source agentic coding should pick Goose.