Stay free if you only need full access to opencode cli, tui, and desktop apps and bring your own api key for any supported llm provider. Upgrade if you need anthropic claude sonnet: ~$3/m input, ~$15/m output tokens — typical developer ~$10–$30/month and openai gpt-4o: ~$2.50/m input, ~$10/m output tokens — typical developer ~$5–$20/month. Most solo builders can start free.
Why it matters: Steeper setup curve than turnkey tools — requires API key configuration and provider selection
Available from: Typical API Costs (BYOK)
Why it matters: Smaller community and ecosystem compared to Cursor, Copilot, or Claude Code
Available from: Typical API Costs (BYOK)
Why it matters: Quality depends entirely on the underlying model you connect — not a curated experience
Available from: Typical API Costs (BYOK)
Why it matters: Limited polish in IDE plugins compared to first-party Cursor or VS Code Copilot integrations
Available from: Typical API Costs (BYOK)
Why it matters: Documentation and onboarding still maturing as the project evolves rapidly
Available from: Typical API Costs (BYOK)
Yes, OpenCode itself is fully free and open source — there is no subscription fee for the agent, the TUI, or the desktop app. However, you pay the API costs of whichever LLM provider you connect (such as Anthropic, OpenAI, or Google), and those costs are billed directly by the provider. If you run local models via Ollama, your usage is effectively free aside from hardware and electricity. This bring-your-own-key model typically saves money for heavy users compared to fixed-seat subscriptions.
OpenCode is the open source counterpart to closed tools like Claude Code and Cursor — it offers similar terminal-agent capabilities but is provider-agnostic and self-hostable. Claude Code is locked to Anthropic models and Cursor is an IDE fork with proprietary backend services, while OpenCode lets you choose from major providers directly or access many more through aggregators like OpenRouter. The tradeoff is that OpenCode requires more configuration and lacks some of the polished UX features of commercial alternatives.
Yes, OpenCode integrates with Ollama and other local model runners, so you can run agents entirely on your own hardware without sending code to any external API. This is one of the main reasons enterprise and security-conscious teams adopt it. The quality of suggestions will depend on the size and capability of your local model — a 70B parameter model will perform much better than a 7B one, but both will keep your code on-device.
LSP (Language Server Protocol) is the same standard that powers code intelligence in VS Code, Neovim, and JetBrains IDEs — it provides accurate symbol lookup, type information, and refactoring across files. OpenCode's LSP integration means the agent can resolve imports, jump to definitions, and reason about your codebase with the same context an IDE has. This significantly improves accuracy on large or polyglot projects compared to agents that only see raw text.
OpenCode is best suited for experienced developers, platform teams, and organizations with privacy or compliance requirements that prevent them from using closed-source SaaS coding assistants. It particularly shines for terminal-first developers, those already paying for LLM API access who want to avoid double-charging via per-seat subscriptions, and teams who need to audit or customize their tooling. Beginners or developers who want a polished, zero-config experience may prefer Cursor or GitHub Copilot.
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Last verified March 2026