Pick Pi if you want to shape the coding agent around your own workflow. Pick OpenCode if its existing workflow gets you to a useful edit with less customization. Both offer provider choice and extension points. The important question is how much of the experience you want to assemble and maintain yourself.
Here, Pi means the terminal coding agent documented at pi.dev. OpenCode means the coding agent at opencode.ai. This is a comparison of their documented configuration and working styles, with a practical way to try both on your repository.
Pi vs OpenCode: what you are choosing
| Decision | Pi | OpenCode |
|---|---|---|
| Product emphasis | A small terminal core with extensive extension APIs | A coding workflow with built-in agents and provider selection |
| Customization | TypeScript extensions, skills, templates, themes, and packages | Agent configuration, tools, plugins, skills, and commands |
| Custom models | Model/provider definitions in models.json; custom provider extensions | Provider and model entries in OpenCode configuration |
| Editor relationship | Evaluate the terminal or integration you intend to use | Documented IDE integration with selection and file context |
| Best trial | Implement one workflow behavior you currently miss | Complete that workflow using existing configuration first |
Sources: Pi overview, Pi extensions, and OpenCode agents.
Pi makes sense when customization is the benefit
Pi's extension API can register tools and commands, react to lifecycle events, alter context handling, and add terminal UI. That gives you specific reasons to try it: your team needs a custom review command, a particular approval interaction, or a repeatable connection to an internal tool. Its documented SDK and RPC interfaces also matter when you want to put an agent inside an application you control.
Start with one missing behavior. Write down what triggers it, what context it receives, and what result the user should see. Then build the smallest extension that satisfies that contract. A flexible API is valuable when it removes a recurring obstacle; it is less valuable if you spend a week recreating features you already had.
Budget for ownership as well as initial setup. Someone must understand the extension, review updates, and recognize when a failure comes from your customization rather than the model. If the only person who can maintain it is you, include that constraint in the choice.
OpenCode makes sense when the configured workflow already fits
OpenCode provides built-in Build and Plan agents, configured model selection, and an IDE integration that shares selections and file references. Its plugin system can extend behavior too. Choosing OpenCode does not mean giving up customization; it can mean starting from an interaction model you already like.
Try a normal working session before adding plugins. Ask it to inspect a small issue, review the plan, let it make the change, and run the relevant check. Notice how easily you supply context and inspect the result. These repeated actions contribute more to your working day than a feature you use once.
If you usually work inside VS Code or a related editor, try OpenCode's IDE integration before treating the terminal as a separate workspace. Whether its split-terminal approach feels right is something you can evaluate immediately.
Provider configuration does not transfer word for word
Pi's custom model configuration uses ~/.pi/agent/models.json. OpenCode has its own provider structure and SDK selection. Preserve the meaning of the connection—provider, API surface, model ID, authentication, and limits—rather than copying the JSON literally.
Change one variable at a time. First try the new client with a documented provider. Then introduce a custom endpoint if that is part of your intended setup. If you change the client, model, provider, and extensions together, a failed tool call tells you very little about which choice caused it.
Compare the whole task and the maintenance burden
Run the same bounded task in two worktrees at the same starting commit. Record the model, access method, permissions, custom packages, and checks. Compare the accepted patch, interruptions, model charge, and time spent preparing the environment. This is a selection procedure, not a claim that either tool wins a benchmark.
- Use a reproducible bug with a clear pass condition.
- Repeat a task after restarting the client to check session and configuration behavior.
- Test the one customization that motivated the switch.
- Keep project instructions and secrets separate when moving configuration.
If model billing is your main reason to investigate another setup, you can also evaluate a provider while keeping the client familiar. Add Kunavo to OpenCode using the existing setup guide, select a model from the pricing page, and measure one small task. That path lets you assess provider cost before taking on a client migration.
FAQ
Should I choose Pi or OpenCode?
Choose Pi when you want to build your own terminal workflow through extensions and a small agent core. Choose OpenCode when its existing model selection, agents, and editor integration fit how you want to work. Both support customization; compare the amount of configuration and maintenance your particular workflow requires.
Can Pi and OpenCode use custom model providers?
Yes. Pi documents custom models and providers in models.json and through extensions. OpenCode documents provider configuration built around the AI SDK. Match the selected API, authentication, model identifier, and tool support; copying one application's configuration into the other is not sufficient.
Is Pi cheaper than OpenCode?
There is no fixed saving from changing the client. The selected model access path, context, output, cache usage, and retries determine the model bill. Include the time you spend building and maintaining extensions when comparing a custom Pi workflow with OpenCode.
Can I move my OpenCode plugins into Pi?
Do not assume a plugin can be copied unchanged. Reusable instructions and project knowledge may transfer, but executable plugins use each project's own APIs. Map the behavior you need, then use a supported package or implement an equivalent extension in the destination.
Official documentation checked September 17, 2026. Feature selection is based on the linked documentation; no Pi/OpenCode performance ranking is implied.