OpenCode vs Cursor: Open-Source CLI vs AI Editor 2026

Quick Verdict

How We Compare These Two Honestly

Any honest OpenCode vs Cursor write-up is only as trustworthy as its weakest cell. If we filled the Cursor column with prices and feature claims pulled from memory, the whole table would look authoritative while half of it was unverified. That is the failure mode we are refusing. So this article runs on an editorial firewall: the OpenCode side is grounded in OpenCode's own documentation, homepage, and GitHub repository, and the Cursor side is limited to what is genuinely public and uncontested, with a clear pointer to our Cursor hub for the rest.

Here is exactly where the line sits. On OpenCode, we cite the MIT license, the bring-your-own-key model and 75+ providers, the terminal TUI and LSP support, built-in and custom agents, multi-session parallel agents, MCP support, and its privacy-first no-storage stance, all traceable to OpenCode's sources and labeled vendor-reported where the figures are self-reported. On Cursor, we state only the category facts that it is a proprietary, AI-native code editor, widely understood to be a fork of VS Code, offered on subscription tiers. Everything else about Cursor, its exact pricing, plan lineup, and specific models, we direct you to verify in our Cursor coverage and at cursor.com.

OpenCode vs Cursor at a glance

This OpenCode vs Cursor table grounds the OpenCode column in verified facts and is deliberately honest about the Cursor column. Where a Cursor cell would need a price, a model name, or a spec we have not verified here, it says so and points to the source. A "Verify" badge is not a hedge for its own sake; it is the difference between a comparison you can trust and one that quietly guesses.

"Grounded" marks a claim traced to our verified OpenCode sources. "See Cursor hub" or "Verify at cursor.com" marks a Cursor detail we intentionally did not invent. More grounded cells in the OpenCode column reflect what we could confirm for this article, not a declaration that OpenCode is universally the better tool for your work.

What We Can Verify About OpenCode

OpenCode is an open-source AI coding agent released under the MIT license and maintained by Anomaly, with its source available on GitHub. Unlike a tool that lives inside a single editor, OpenCode is built terminal-first: its primary surface is a terminal TUI, and it also ships a desktop app in beta and an IDE extension. That framing matters for the comparison, because it shapes how OpenCode differs from a graphical editor you subscribe to. Its maintainer positions it as privacy-first and states that it does not store your code or context data, which is the kind of guarantee that is far easier to make when the tool is open and can run against models you host yourself.

The TUI, LSP, and Agents

In the terminal, OpenCode lets you press Tab to switch agents, drag and drop images into a session, and step back with /undo and /redo. It is LSP-enabled, automatically loading the language servers for your project so the agent reasons with real type and symbol information. It ships three built-in agents, build (the default, with full access), plan (read-only), and general (a subagent), and you can define your own with opencode agent create. The first time you point it at a repository, it initializes an AGENTS.md file to capture project context. It also reads existing Claude Code configuration, including the .claude folder, CLAUDE.md, and skills, unless you disable that behavior.

Install, Sessions, and MCP

The easiest install is a single curl install script, with alternatives via npm, Bun, pnpm, Yarn, Homebrew, Arch (paru), and on Windows through WSL (recommended) or Chocolatey, Scoop, Mise, and Docker. Once running, OpenCode supports multi-session parallel agents: you can continue or fork a session with the --continue and --fork flags, and export or import sessions as JSON, so two lines of work do not collide. It supports the Model Context Protocol through opencode mcp add and opencode mcp list, which lets you wire in external tools and data sources the same way other modern agents do. Roughly 175,000 GitHub stars, around 940 contributors, and about 7.5 million monthly developers are figures the project reports for itself; treat them as vendor-reported and date-stamped to June 2026.

Cost and openness

This is the single most important thing to understand before you compare OpenCode to a subscription editor, and it is easy to miss. OpenCode's software is free and open-source. It has no flat monthly fee, because the tool itself carries no inherent model cost. Instead, you bring your own API keys and pay your chosen LLM providers directly for the tokens you use. A light week against a cheap model costs almost nothing; a heavy week against a frontier model costs whatever that provider charges. That is a fundamentally different shape from a fixed editor subscription, and it cuts both ways: there is no platform markup, but there is also no single predictable number on your statement unless you choose a flat-rate provider plan.

OpenCode does offer a couple of optional, managed cost paths on top of the free software. OpenCode Zen is a curated set of tested coding models billed pay-as-you-go, and OpenCode Go is a low-cost subscription option. You can also link an existing ChatGPT Plus or Pro, GitHub Copilot, or GitLab Duo account at no extra cost, reusing access you already pay for. By contrast, Cursor is a subscription product; for its exact tiers and the details of how its usage works, see our Cursor hub and cursor.com rather than any figure we have not verified here.

Models and form factor

Form factor is the first thing that separates these two. OpenCode is terminal-first, a TUI that sits next to git with a desktop app in beta and an IDE extension alongside it, whereas Cursor is a full graphical editor you work inside. On models, OpenCode's defining choice is that it does not lock you to one model family or one vendor's hosted service. It connects through the AI SDK and Models.dev to more than 75 providers, including Anthropic, OpenAI, DeepSeek, Google Vertex, Amazon Bedrock, and Groq, and it can also run local models through Ollama, LM Studio, and llama.cpp. You add a provider with /connect in the TUI or with opencode auth login, and your keys are stored locally in OpenCode's auth file rather than handed to a platform. Configuration lives in an opencode.json or a global config file, so your setup is version-controllable and portable.

On data handling, the openness compounds into a genuine privacy story. OpenCode states that it does not store your code or context data, and because it is bring-your-own-key and can target local models, you can keep both your source code and your model inference entirely on your own machine. We are deliberately precise about the limit of that claim: when you point OpenCode at a hosted provider, your prompts and code context still travel to that provider under that provider's terms, so the no-storage promise covers OpenCode itself, not the third parties you choose to call. For Cursor's data handling, including any privacy mode it offers, see our Cursor hub rather than a claim we have not verified here. This is the same discipline we apply to the OpenCode side, and it cuts both ways.

The Cursor Side: What We Will and Will Not Claim

A comparison that grounds only one side owes you transparency about the other, so here is exactly where our verified knowledge for this article ends. Cursor is, in widely understood category terms, a proprietary, AI-native code editor, commonly described as a fork of VS Code, that is offered on subscription tiers. That framing is fair to state. Beyond it, we stop.

What we will not do here is quote Cursor's exact pricing, plan names, model or version names, or any coding-quality benchmark as fact. Those details are not in this article's verified sources, and they are exactly the kind of fast-moving specifics that go stale or get misremembered. Stating an invented price or a guessed model name would look authoritative while being unverified, which is worse than saying nothing. So on those points we say nothing here, on purpose, and we point you to where we do cover them.

The honest path for you is to take the grounded OpenCode facts in this article, then pull Cursor's current pricing, plans, models, and feature set from our dedicated Cursor coverage and from cursor.com, and weigh them side by side. A vendor's own current page is a more reliable source for its specifications than any third-party article, this one included. And if real-world coding quality is your deciding factor, the only credible test is to run the same tasks on both, inside the terminal for OpenCode and inside the editor for Cursor, on your own repository, since results depend heavily on your codebase and your chosen model.

OpenCode vs Cursor: which to choose

Still weighing OpenCode vs Cursor? This quiz tallies your answers across all four questions and recommends a direction based on the accumulated result, not just your last click. It points you toward a starting orientation; it does not replace verifying Cursor's current specifics in our Cursor hub and at cursor.com.

Frequently Asked Questions

What is the difference between OpenCode and Cursor?

OpenCode is an open-source (MIT) AI coding agent by Anomaly that runs as a terminal TUI, a desktop app in beta, and an IDE extension; it is bring-your-own-key across 75+ providers or local models, the software is free, and it states it does not store your code. Cursor is a proprietary AI-native code editor, widely understood as a VS Code fork, on subscription tiers. We fully ground the OpenCode side here. For Cursor's current pricing, models, and features, see our Cursor hub and cursor.com.

How does OpenCode pricing work?

The OpenCode software is free and open-source under the MIT license; you pay your chosen LLM providers directly for model usage, so there is no flat subscription for the tool itself. Optionally, OpenCode Zen offers curated, tested coding models on a pay-as-you-go basis, and OpenCode Go is a low-cost subscription. You can also link an existing ChatGPT Plus or Pro, GitHub Copilot, or GitLab Duo account at no extra cost. Budget for provider spend, not a single monthly fee.

What models can you use in OpenCode?

OpenCode uses a bring-your-own-API-key model via the AI SDK and Models.dev, supporting 75+ providers including Anthropic, OpenAI, DeepSeek, Google Vertex, Amazon Bedrock, and Groq, plus local models through Ollama, LM Studio, and llama.cpp. You connect with /connect in the TUI or opencode auth login, and keys are stored locally.

Is OpenCode private?

OpenCode is described as privacy-first and states that it does not store your code or context data. Because it is bring-your-own-key and can run local models such as Ollama or LM Studio, you can keep both code and inference on your own machine. Note that when you point it at a hosted provider, your prompts and code context still travel to that provider under that provider's terms.

Should I pick OpenCode or Cursor?

This article can fully assess only the OpenCode side, so it cannot crown a winner honestly. If you want an open, free, terminal-first agent with broad model choice and a strong privacy stance, the grounded evidence here is about OpenCode. To compare Cursor fairly, pull its current pricing, models, and features from our Cursor hub and cursor.com, and test both in your own workflow before deciding.

Bottom Line

On the side we can verify, OpenCode is well documented. It is open-source under the MIT license, maintained by Anomaly, and runs as a terminal TUI with a desktop app in beta and an IDE extension. It is bring-your-own-key across 75+ providers plus local models, the software is free so you pay your providers directly (with optional Zen and Go paths), it ships build, plan, and general agents plus custom and multi-session parallel agents, it supports MCP, and it states that it does not store your code or context data. Those are not slogans; they are facts you can act on, with the self-reported figures labeled as vendor-reported.

On Cursor, our position here is deliberately modest. It is accurately described as a proprietary, AI-native code editor on subscription tiers, and for many developers it may be the right tool. But we will not quote its prices, plans, models, or benchmarks in this article, because those are not in our verified sources for it and would be guesses dressed up as facts. That restraint is the entire point of an honest comparison.

So here is the honest OpenCode vs Cursor takeaway. If you want a tool whose openness, cost model, and privacy stance you can read in full before committing, this article gives you that for OpenCode. To judge Cursor, pull its current details from our Cursor hub and cursor.com, and if coding quality is the deciding factor, run the same tasks on both in your own workflow and trust what you see. Either way, remember that with OpenCode your real cost is provider spend, not a flat fee, and that no comparison article, this one included, should substitute for checking the source.