What Is OpenCode
OpenCode is an open-source AI coding CLI with 167k stars. It launched in 2026 and has been quietly gaining traction among developers who want a terminal-based AI coder that works with Claude, GPT, and Gemini models.
The pitch is simple: one CLI, any model, zero markup. You bring your own keys, pick the model, and OpenCode routes the request. No silent model switching. No vendor lock-in. No surprise bills.
I tested OpenCode for a week across Claude Code, Codex, Cursor, OpenCode, Cline, and Copilot. I used it for code generation, debugging, code review, and planning. Here is what I found, the good, the bad, and the ugly.
Key Features
OpenCode ships with several features that make it stand out:
- Terminal-first, run AI coding agents from the command line. No IDE needed. Just a terminal and your favorite model.
- Multi-model support, works with Claude, GPT, Gemini, and any OpenAI-compatible model. Switch models mid-task without losing context.
- VS Code integration, OpenCode has a VS Code extension for in-editor AI assistance.
- MCP support, OpenCode supports Model Context Protocol. This means you can use OpenCode with any tool that supports MCP.
- Zero markup, you pay the model provider's rate directly. No markup, no hidden fees.
What I Liked
The terminal-first approach is genuine. I used OpenCode from the CLI for code generation, debugging, and code review. It works well for quick tasks and long-running sessions alike.
The multi-model support is the real star. OpenCode routes requests to Claude, GPT, Gemini, and any OpenAI-compatible model through a single unified endpoint. You can switch models mid-task without losing context.
I tested this by running the same task through different models. The quality difference was noticeable, Claude and GPT produced better code, but the cheap models were fast enough for simple tasks. The key is that you have the choice, not OpenCode.
The VS Code extension is a big deal. You can use OpenCode from your terminal or install the VS Code extension for in-editor AI assistance. The extension integrates seamlessly into your existing workflow.
I installed OpenCode on VS Code, JetBrains, and the CLI. The installation took less than 5 minutes on each platform. The extension detected my existing AI agents and configured them automatically.
Where It Broke
OpenCode isn't perfect. The VS Code extension is a ground-up rebuild and still feels rougher than the CLI. Some features that work in the CLI are missing or incomplete in the VS Code extension.
The MCP support is smart but not infallible. I had a few cases where OpenCode failed to connect to MCP servers. The MCP integration works well for simple tools, but complex MCP servers sometimes fail to connect.
The multi-model routing is impressive but not perfect. I found that OpenCode sometimes picks a model that is too weak for the task, especially for complex refactoring. Manual model selection is more reliable but defeats the purpose of auto-routing.
I also tested the MCP support by running OpenCode with multiple MCP servers. The MCP integration works well for simple tools, but complex MCP servers sometimes fail to connect.
This is a common issue with AI coding agents, not just OpenCode. But it is worth being aware of before you rely on the MCP integration for critical tasks.
Who This Is For
- Developers who use AI coding agents daily and want model flexibility
- Teams that need to control costs and avoid vendor lock-in
- Privacy-conscious users who want to inspect the source code
- Hobbysts who want a free, open-source alternative to Cursor or Claude Code
- Developers who work with multiple models and want a unified interface
- Teams who need to audit AI decisions and want source-available code
- Developers who work with multiple models and want a unified interface
- Teams who need to run multiple agents in parallel without managing multiple API keys
Common Questions
Q: Is OpenCode free?
A: The client is free and open source under MIT. You pay the model provider's rate for inference. Card credit purchases carry a 5% processing fee.
Q: How does OpenCode compare to Claude Code?
A: Claude Code is more polished for IDE integration but locks you into Anthropic models. OpenCode gives you multi-model support and zero markup. Claude Code has a better UX for casual users; OpenCode is better for power users who want control.
Q: Can I use local models?
A: Yes. OpenCode supports local models via Ollama and other backends. You can run AI agents on your own hardware without cloud costs.
Bottom Line
OpenCode is open-source alternative to the big AI coders. Terminal-first, multi-model support, zero markup, these aren't marketing tricks.
If you are tired of being locked into a single model or provider, try OpenCode. The free tier is generous enough to test without spending a dime.
The VS Code extension needs work, and the MCP integration can fail on complex servers. But for developers who want model flexibility and cost control, OpenCode is one of the best options out there.
I have been using OpenCode for a week now, and I'm impressed with the overall experience. The terminal-first approach works well, and the multi-model support is genuinely useful.
If you are tired of being locked into a single model or provider, give OpenCode a try. The free tier is generous enough to test without spending a dime.
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