OpenCode vs Claude Code vs Cursor: Model-Agnostic Verdict

OpenCode, Claude Code, and Cursor solve the same job three different ways. On one production-codebase test, Claude Code finished 45% faster while OpenCode wrote 29% more tests, and Cursor is the IDE-native option neither benchmark page even mentions. The real winner depends on the model you run and the budget you keep.

What is the difference between OpenCode, Claude Code, and Cursor?

These three tools split along two lines: who picks your model, and where the agent lives. Claude Code is the managed option. It works out of the box. The catch is that it ties you to Anthropic models like Sonnet, Haiku, and Opus. It runs in your terminal and mostly “just works” with no setup.

OpenCode takes the opposite stance. It is open-source and runs any model, with 75+ providers through Models.dev. That list covers GPT, Gemini, DeepSeek, Llama, Qwen, and local models via Ollama . You bring your own key or your own plan. It is terminal-first too, with desktop (beta) and IDE surfaces. The homepage claims 160k+ GitHub stars.

Cursor draws the third axis nobody else here covers. It is the IDE-native agent, a fork of VS Code. So it is GUI-first, not terminal-first. It sits at a flat $20 per month. No page-1 result for either search puts Cursor against the two terminal agents. So this is the missing corner of the map.

OpenCode and Claude Code share several features. Both offer Plan and Build modes, language-server (LSP) hooks, the Model Context Protocol (MCP), and subagents. Only the naming differs. Claude calls its subagent layer Agent View. OpenCode calls its version Scout. The Morph June 2026 comparison maps these side by side.

One date is load-bearing here. The January 2026 Anthropic OAuth block cut off some third-party access paths, and that change pushed many users toward OpenCode. It is the inflection point behind a lot of the “I switched” stories you now see.

Is OpenCode as good as Claude Code on a real codebase?

On a four-task benchmark run against a production codebase, the two tools split the result instead of one sweeping it. The AlterSquare benchmark found Claude Code finished 45% faster, at 9m9s versus 16m20s. OpenCode answered with breadth, generating 29% more tests, 94 versus 73. Claude also carried 91% more code-review overhead.

The same figures showed up independently in the Morph June 2026 comparison. That adds confidence the numbers are real and not a one-off. So the 45% and 29% splits have at least two sources behind them.

Still, the method deserves a hard look. Both pages draw these numbers from “undisclosed real-world tasks.” They name no repo, list no models, and show no command logs. Editorial testing was vaguer. The XDA test ran the tools over weeks. It concluded OpenCode “gets noticeably closer than the others,” yet published no models, hardware, or metrics. No public suite reproduces the exact split, so treat the figures as directional, not gospel.

Read it as a trade-off rather than a clean win for either side. Claude buys you faster delivery. OpenCode buys you more test coverage and, the benchmark argues, less tech debt. So the winner depends on whether you want speed or thoroughness on a given task.

The verdict shifts with your model and your setup

The loudest community take is conditional rather than a flat ranking. On the r/opencodeCLI thread , Magnus114 (30 points) argued both tools are genuinely good. Claude Code edges ahead when you run Anthropic models. Still, he prefers OpenCode in many cases, because it makes switching between models from different providers so much easier. That is the verdict no editorial page captures.

Setup tuning is the second thread. BitXorBit (17 points, same thread) noted OpenCode feels “too simple” out of the box. It only reaches parity once you define proper agents and skills. The contrast is structural. Claude Code injects a large background system prompt by default, so it arrives opinionated. OpenCode starts lean and waits for you to shape it.

OpenCode has one concrete edge here. Illustrious-Many-782 (15 points, same thread) pointed out a neat trick. OpenCode’s built-in TypeScript syntax highlighting lets a model like GLM catch syntax errors without a separate lint pass. Small wins like that add up over a long session.

The read across the thread is consistent. If your daily driver is an Anthropic model, Claude Code’s polish is hard to beat. If you bounce between providers, or want to drop in a cheaper or local model mid-task, OpenCode wins. The tool follows the model.

OpenCode vs Claude Code pricing, and the local-LLM cost path

Start with the subscription baseline. Claude Code runs from $20 to $200 per month by tier, per the DataCamp guide . OpenCode is free software. Your only cost is the API you call or the local compute you burn. Cursor sits between them at a flat $20 per month for its IDE.

Bring-your-own-key changes the math. Running Opus 4.7 through OpenCode lands around $10 to $80 per month. Claude Code Max runs $100 to $200, per the unicodeveloper three-way on Medium . That post leaves Cursor out entirely, which is exactly the gap this comparison fills.

The local path pushes cost the furthest. OpenCode plus Ollama running qwen2.5-coder:32b drops your API bill to zero. The catch is hardware. That model needs roughly 24GB or more of VRAM. A local model also trails a hosted frontier model on quality and speed. Free hosted tiers exist too, including the Google Gemini free tier and Groq’s sub-500ms llama-3.3-70b. So zero-cost coding does not strictly require a big GPU.

Here is a rough cost-per-task picture across the three paths.

One caveat keeps the local-cost optimism honest. evnix (2 points, same r/opencodeCLI thread) called both OpenCode and Claude Code token-inefficient and slow. He rated OpenCode “probably the worst” on raw API keys, and praised Qwen Code instead. Cheap-per-call does not always mean cheap-per-task if the tool burns extra tokens to get there.

So the cost story comes down to what you value. A subscription buys predictability and zero setup. BYOK and local models buy control. They can be far cheaper for heavy users. The catch is that they shift the variance onto your own usage and your own setup work.

Which one should you pick?

The decision sorts cleanly by who you are. Pick the tool that fits your model, your interface, and your budget.

• Anthropic loyalist: Claude Code. The managed polish and faster delivery pay off when you already live on Sonnet or Opus.
• Multi-model user: OpenCode. Swapping providers mid-task is its whole point, and the 29% test-coverage edge is real.
• IDE-first user: Cursor. If you want the agent inside a graphical editor rather than a terminal, the $20 flat tier is the simple answer, and our Cursor vs Copilot breakdown covers how it stacks up against the other IDE option.
• Cost-minimizer: OpenCode plus a local model. With a 24GB+ GPU or a free hosted tier, your API bill drops to near zero.

The broader pattern holds across all three tools: there is no flat winner. The question “which coding agent” is really the question “which model and which budget.” Answer those two first, and the tool falls out of the answer.