Claude Code vs OpenCode: 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.

OpenCode is an open source coding agent for terminal, desktop, and IDE workflows. The public site reports more than 215,000 GitHub stars, 950 contributors, 20,000 commits, and more than 16 million developers monthly, figures the company can change. The repository identifies the software as MIT licensed. Current documentation distinguishes OpenCode 1 and OpenCode 2, which share the same command name and cannot coexist under default installation paths. Version 2.1.2 is dated October 21, 2026. OpenCode is best understood as a client and agent layer rather than one hosted assistant. It can inspect repositories, explain code, edit files, run commands, and keep multiple sessions. The MIT license permits commercial modification and distribution subject to its conditions.

A typical workflow starts in a project directory with the opencode command. The documentation describes an /init command that creates an AGENTS.md file for project structure and coding conventions. OpenCode separates a build agent from a plan agent: the build agent can edit files and run commands, while the plan agent is read-only by default and asks before bash commands. Sessions can use LSP integration, provider selection, and a general subagent. Developers can connect OpenAI, Anthropic, Google, xAI, GitHub Copilot, ChatGPT Plus or Pro, local models, OpenCode Zen, or OpenCode Go. The terminal, desktop, and IDE clients support the same provider choice. This workflow is adaptable, although the account, model, quota, and data terms depend on the selected route.

OpenCode's main tradeoff is choice. Provider selection can reduce lock-in, but it also makes billing, privacy, and troubleshooting less predictable than a single-vendor product. The Go privacy table says most listed models do not use prompts for training, while Muse Spark models permit training and Gemini 4 Argon Contributor may use prompts and completions for future Google models. Compared with Claude Code, OpenCode offers local models and a broader provider route. Compared with Cursor, it is more terminal centered and MIT licensed. Compared with Aider, it adds desktop and IDE clients. Pick OpenCode for repository work when provider flexibility matters more than one unified account and bill.