Choosing between OpenCode and Claude Code

A developer compares OpenCode and Claude Code for running AI models against codebases, favoring OpenCode for its open-source nature, git-native flow, and hybrid cost control, while acknowledging Claude Code's superior integration and ease of use for quick experiments.

I care a lot about open source, picking my own model, and not being locked into one vendor’s stack. That bias shapes how I compare these two ways of running Claude Opus and other models against your repo and shell. Both let you chat with the codebase and run terminal work; the difference is mostly who owns the knobs — you, or a tightly integrated product. How I slice it: OpenCode vs. Claude Code with Opus when applicable What I actually prefer Open source — I like tools I can read, fork, and reason about. Git-native flow: versions live in normal Git, not only in an app-specific checkpoint format. I’ll be honest: my time in Claude Code has been great — it handles repos and multi-file edits in a way that feels effortless. I’m not trying to bring it down. So far it’s the best; I’m explaining why I still lean OpenCode for day-to-day philosophy. When OpenCode wins for me Hybrid cost: Opus or similar for hard bits, then switch down for repetitive churn. Agents & skills as markdown/ YAML in my repo — matches how I already document habits. Remote / server: client–server layout is handy for Docker or driving a session from another box via HTTP. When I’d still grab Claude Code Tight Claude integration: tool use and context often feel more predictable without me tuning YAML. Subscription math: if you’re already on Pro/ Max, the CLI can beat pay-per-token through a generic client. Low-friction experiments: snapshots beat “commit everything” when I’m spiking and don’t want Git noise yet.