OpenCode vs Claude Code: Which Terminal Agent in 2026?

Sometime in mid-2026 a quiet milestone passed: OpenCode, the open-source terminal coding agent from the team behind SST, overtook Anthropic's Claude Code on GitHub stars. As of a same-day read of the GitHub API on 2026-06-29, the OpenCode repository carries roughly 180,536 stars against Claude Code's 134,968 — and it got there despite being created two months later (April 2025 vs February 2025).

That reversal is the headline, but it isn't the whole story. Star counts measure mindshare, not which tool finishes your refactor cleaner at 2 a.m. The real decision comes down to a single trade: model freedom and cost (OpenCode) versus polish and tuning (Claude Code). This guide walks through both agents the way you'd actually evaluate them — install, the terminal UX, model backends, MCP and subagents, pricing, and the honest rough edges — using only verifiable, current numbers. If you're surveying the wider category first, our guide to AI coding agents sets the landscape these two compete in.

What is OpenCode, and why did it pass Claude Code on GitHub?

OpenCode is an open-source AI coding agent you run in your terminal. It's MIT-licensed and model-agnostic: you bring your own API key for whatever provider you like, and OpenCode drives that model through an agentic loop — reading files, running shell commands, editing code, and checking its own work. It ships in three forms: a terminal TUI, a desktop app, and an IDE extension, all documented at opencode.ai/docs.

One detail trips people up before they even install it: the repository moved. What used to live at github.com/sst/opencode is now github.com/anomalyco/opencode (the same team, now operating as Anomaly Innovations). The old URL 301-redirects to the new one, so a search for "sst opencode" still lands you in the right place — you'll just notice the header reads anomalyco/opencode once you arrive.

The momentum is genuine. Here's the raw GitHub picture as of late June 2026 (counts move daily, so treat them as a snapshot, not a fixed figure):

• OpenCode: ~180,536 stars, 22,211 forks, 7,093 open issues, MIT license, created 2025-04-30.
• Claude Code: ~134,968 stars, 21,786 forks, 9,001 open issues, created 2025-02-22.

OpenCode leads on stars and forks; Claude Code, the older project, has more open issues in absolute terms. The forks number is the more telling one — 22k forks signals a lot of people building on, extending, or self-hosting the agent, which is exactly the behavior an MIT license invites.

Why does an open-source terminal tool pull that kind of energy? The driving sentiment is anti-lock-in — the appeal of an agent you own outright, pointed at whatever model you choose, with no subscription tether or unbounded metered API bill hanging over each run. That's the thread running through the developer reactions we get into below.

What is Claude Code in 2026?

Claude Code is Anthropic's agentic coding tool. The CLI itself is free to install, but you need a Claude subscription or Console (API) billing to actually run it — the tool is the front-end, the model usage is what you pay for. It's available across more surfaces than OpenCode: a Terminal CLI, VS Code extension, Desktop app, Web, and JetBrains, per the official Claude Code docs.

There's a common misconception worth correcting up front, because it changes the analysis: Claude Code is not strictly Anthropic-only anymore. Its terminal CLI and VS Code surfaces officially support third-party providers. So the honest framing isn't "OpenCode is open, Claude Code is locked." Both can, in principle, run other models. The real differentiator is that Claude Code is the most tightly-integrated, best-tuned experience for Claude models specifically — its tool-calling, prompt scaffolding, and default behaviors are built around Anthropic's models first. Run it on Opus or Sonnet and everything is dialed in; that tight integration is what you're buying.

If you want the deeper category comparisons against other CLIs, we've covered Claude Code vs OpenAI Codex and Gemini CLI vs Claude Code separately — this piece stays focused on the OpenCode matchup.

OpenCode vs Claude Code: the head-to-head

Here's the comparison at a glance. Every figure below is drawn from official docs, the pricing pages, or a same-day GitHub API read — nothing from memory or estimation.

Two rows do most of the work. Model backends is the philosophical split — OpenCode treats the model as a swappable component, Claude Code treats it as the product. Main weakness is the practical one: OpenCode's openness comes with a 7,000-issue backlog, and Claude Code's polish comes with a bill.

How do you install each one?

Both are a one-liner. OpenCode offers a shell installer, an npm package, or a Homebrew tap:

curl -fsSL https://opencode.ai/install | bash
# or
npm install -g opencode-ai
# or
brew install anomalyco/tap/opencode

Then launch it and authenticate your provider:

opencode
opencode auth login
opencode models

opencode auth login is where you wire in whichever API key you intend to use; opencode models lists what's available to you. From there the TUI is the home base.

Claude Code installs just as quickly — shell script, Homebrew cask, or winget on Windows:

curl -fsSL https://claude.ai/install.sh | bash
# or
brew install --cask claude-code
# or
winget install Anthropic.ClaudeCode

Then:

claude

The first run prompts you to authenticate against your Claude subscription or API key. There's no meaningful friction gap at install time for either tool — the difference shows up the moment you have to decide what's powering the agent.

What models can each agent run?

This is OpenCode's whole reason for existing. Because it's model-agnostic, you point it at any provider you have a key for, and a standout feature is per-agent model routing — you can assign different models to different roles. A common pattern users describe is a stronger model for planning and a faster, cheaper one for the mechanical editing pass. One Reddit user running OpenCode with Zed described exactly that split, using "deepseek pro for planning and flash for building," and rated DeepSeek Flash highly for the build role.

Worth a caveat: that specific cheap-plan / strong-build (or its inverse) split is something developers argue about — the same thread had people insisting the routing should go the other way. Treat per-agent routing as a real, powerful capability, not a prescription to copy one particular configuration. The right split depends on your codebase and which models you trust where. If DeepSeek is in your rotation, our DeepSeek V4 guide covers where it's strong.

OpenCode Zen, including genuinely free models

OpenCode also offers an optional first-party gateway called OpenCode Zen — pay-as-you-go access to a curated model roster, documented at opencode.ai/docs/zen. It is not required to use OpenCode; it's a convenience if you don't want to juggle a dozen provider keys. The paid roster spans GPT 5.5, Claude Opus 4.8, Gemini 3.5 Flash, Qwen3.7 (Max and Plus), DeepSeek V4 (Pro and Flash), MiniMax M2.7, GLM 5.2, Kimi K2.6, and Grok Build 0.1.

More interesting for cost-conscious developers, Zen lists several genuinely free models (no per-token charge): Big Pickle, DeepSeek V4 Flash Free, MiMo-V2.5 Free, North Mini Code Free, and Nemotron 3 Ultra Free. The Zen docs note these free endpoints are offered for a limited time, so treat the zero-cost tier as a promotion that may not last rather than a permanent guarantee. Here's a small slice of the pricing to anchor the order of magnitude:

The free tier is the part that makes the "no API bill" pitch land. While the promotion lasts you can run a capable agent loop end-to-end at zero marginal cost — with the obvious caveat that free models are weaker than frontier ones and you get what you pay for on hard tasks.

Claude Code, by contrast, optimizes for one thing: getting the most out of Anthropic's models. You can attach third-party providers to the CLI or VS Code surface, but the experience is engineered around Claude. If your team has standardized on Claude Opus or Sonnet, that tuning is a feature, not a limitation — the agent's defaults assume those models. If your goal is to run, say, a local or open-weight model as your daily driver, OpenCode is the more natural home.

What does OpenCode's terminal UX actually look like?

OpenCode's TUI is built around a plan-mode / build-mode toggle. You hit Tab to switch: plan mode reasons about the change and proposes a path without touching files; build mode executes. It's the same separation Claude Code offers with its plan mode — think before you let the agent loose — just bound to a single keystroke here.

The core slash commands cover the day-to-day:

• /init — generates an AGENTS.md file: a project memory the agent reads on every run. (This is the same open standard a growing number of tools now share; see our AGENTS.md guide for how to write a good one.)
• /undo and /redo — step the agent's edits back and forward, which matters a lot when an agent goes off the rails mid-task.
• /share — produce a shareable session link.
• /connect — attach to a running session.
• /models — switch the active model on the fly.

Beyond the basics, the features community write-ups highlight (from a v1.17.4 build reported around mid-June 2026 — an approximate, community-sourced version, not an official changelog we verified) are where OpenCode gets genuinely powerful:

• Markdown-defined subagents — spin up specialized sub-tasks defined in plain Markdown, each with its own model and instructions.
• Glob-scoped permission system — allow / deny / ask rules for edit, bash, and webfetch, scoped by file glob. This is the safety valve: you decide exactly which paths the agent may write to and which shell commands need a human "yes."
• MCP support, both remote and local servers — the same Model Context Protocol ecosystem Claude Code and Cursor use. If you want to give either agent extra tools, our roundup of the best MCP servers applies to both.
• Headless and CI execution — opencode run --format json for scripted, machine-readable runs, opencode serve to run it as a server, and opencode github install to drop it into GitHub Actions.

That headless story is concrete enough to show. A scripted, JSON-output review of your working tree looks like this:

opencode run --agent plan --format json "Review the uncommitted changes for bugs"

You can pipe that into CI, a pre-commit hook, or any automation that wants structured output instead of a TUI. opencode serve turns the agent into a long-running service you can drive over an API — the foundation for running it headless or wiring it into your own remote tooling.

How much do OpenCode and Claude Code cost?

This is where the two tools diverge most sharply, and it's the reason so many developers are switching.

OpenCode is free software. Your only cost is model usage, and you control it completely: bring your own API key and pay your provider directly, route to OpenCode Zen's metered models (MiniMax M2.7 at $0.30 in / $1.20 out per 1M tokens, for instance), or run Zen's free models and pay nothing at all. The cost floor is genuinely $0.

Claude Code bundles into Anthropic's plans. Per the Claude pricing page, Claude Pro is $17/mo on the annual plan ($200 up front) or $20/mo billed monthly, and it includes Claude Code. Claude Max starts from $100/mo and lets you choose between 5x or 20x the Pro usage allotment. (The pricing page shows "from $100" and the 5x/20x choice but doesn't pin an exact dollar figure to the 20x tier, so don't anchor on a precise number there.) A subscription is the sane way to use Claude Code — predictable monthly cost, no metering anxiety.

The cautionary tale is using Claude models through raw API billing instead of a subscription. One developer in the r/ClaudeCode discussion reported burning "$200 worth of tokens in just 3h of normal usage." That's the failure mode OpenCode's free-model story is reacting against — not Claude Code's subscription, but the unbounded metered bill you can rack up when an agent loops on a hard problem at frontier-model rates.

Net: if you want a fixed, predictable monthly number and you're happy on Claude, the Pro subscription is strong value and the tooling is tightly integrated with Claude. If you want a hard zero floor, total control over spend, or the ability to run open-weight models, OpenCode wins on cost by construction.

Where does OpenCode fall short?

An honest comparison has to sit with OpenCode's biggest liability: maturity. The same openness that drives 22,000 forks also produces a sprawling backlog. The GitHub API confirms 7,093 open issues as of late June 2026, and even a community write-up that praised the tool's features flagged the same thing in its top critical reply — roughly 5,000 open issues and 1,000 open pull requests at the time it was written. The count has only grown since.

Practically, that means you'll hit rough edges — provider quirks, TUI glitches, regressions between fast-moving releases — more often than you will with Claude Code, which is a smaller, more tightly-curated closed-source surface. Claude Code actually carries more open issues in absolute count (9,001), but it's the older, more heavily-trafficked of the two; given OpenCode's far larger fork count and contributor churn, the raw issue total reads differently for each project.

The other thing to be clear-eyed about: model freedom is only as good as the models you choose. OpenCode pointed at a weak free model will underperform Claude Code pointed at Opus, full stop. The agent harness matters, but the model still does the heavy lifting. OpenCode's advantage is that you get to decide that trade per-task — not that it makes a cheap model smart.

And the reverse is true for Claude Code's "weakness." Its bias toward Anthropic's models isn't a bug; it's the source of its polish. The cost is the only real downside, and a Pro subscription neutralizes most of it for individual developers.

Which terminal coding agent should you pick?

Skip the false binary. Plenty of developers run both — OpenCode for cost-sensitive or experimental work, Claude Code when they want Anthropic's models humming with zero configuration. But if you need a single call, here's the decision the way the evidence supports it.

Pick OpenCode if you want model freedom, a hard floor on cost (including a genuine $0 path via free models), per-agent model routing, MIT-licensed code you can fork and self-host, or first-class headless/CI execution. The community verdict skews this way for flexibility — the most-upvoted reply in one CC-vs-OpenCode thread was simply: "Stop using Claude Code and just use OpenCode with the model you want." Just go in expecting some rough edges.

Pick Claude Code if you've standardized on Claude models, you value a stable and heavily-tuned experience over maximum configurability, you want broad surface coverage (VS Code, JetBrains, Desktop, Web, not just a terminal), and a predictable subscription beats managing API keys and spend. For Anthropic-model work, it's the most tightly-integrated of the two — and if you do hit snags, our Claude Code comparisons and the wider AI coding agents guide cover the surrounding ecosystem.

The GitHub star reversal is real and worth noticing — it reflects a meaningful shift in developer preference toward open, model-agnostic tooling. But stars aren't a substitute for fit. The question that actually decides it is narrow: do you want to own the agent and choose the model, or do you want the best-tuned ride on Anthropic's models? Answer that and the choice makes itself.

If your team is moving fast on agentic coding workflows and you'd rather have senior engineers shipping than babysitting tool setup, Codersera places vetted remote developers who already work this way — comfortable across OpenCode, Claude Code, and the model-routing decisions in between.

FAQ

Is OpenCode really free?

Yes. OpenCode is MIT-licensed open-source software, free to install and run. Your only cost is model usage: bring your own provider API key and pay that provider directly, or use the optional OpenCode Zen gateway — which includes several genuinely free models (DeepSeek V4 Flash Free, Big Pickle, MiMo-V2.5 Free, North Mini Code Free, Nemotron 3 Ultra Free) at $0 per token. There's a real zero-cost path.

Does Claude Code only work with Claude models?

No. Claude Code's terminal CLI and VS Code surfaces officially support third-party providers. The difference is that Claude Code is tuned first and foremost for Anthropic's models — its defaults, scaffolding, and tool-calling are built around Claude, so that's where it shines. The honest framing is "best-tuned for Claude," not "hard-locked to Claude."

Why does OpenCode have so many open issues?

As of late June 2026 the OpenCode repo shows 7,093 open issues. That's a maturity signal, not necessarily a quality verdict: it's a fast-moving, MIT-licensed project with 22,000+ forks and heavy community contribution, which generates a large backlog by nature. Expect more rough edges than Claude Code's smaller, tightly-curated proprietary surface — even though Claude Code carries more open issues (9,001) in absolute terms as the older project.

Can I run OpenCode in CI or headless?

Yes, that's a first-class use case. Use opencode run --format json for scripted, machine-readable runs, opencode serve to run it as a server you can drive over an API, and opencode github install to wire it into GitHub Actions. The structured JSON output makes it straightforward to pipe into pre-commit hooks or CI pipelines.

Which is cheaper, OpenCode or Claude Code?

OpenCode has the lower floor — it can cost $0 with free models. Claude Code costs nothing to install but needs a Claude subscription (Pro at $17–$20/mo, which includes Claude Code) or metered API billing. The subscription gives predictable cost; raw Claude API usage can spike sharply — one developer reported spending $200 of tokens in three hours. For a hard cost ceiling, OpenCode with a cheap or free model wins; for predictable flat-rate Claude access, the Pro subscription is strong value.

Did OpenCode really overtake Claude Code on GitHub?

Yes. A same-day GitHub API read on 2026-06-29 showed OpenCode at ~180,536 stars versus Claude Code's ~134,968 — and OpenCode reached that lead despite being created two months later (April 2025 vs February 2025). Star counts move daily, so treat the exact figures as a late-June 2026 snapshot, but the lead itself is verified.