How to Run Claude Code 100% Free (OpenRouter Setup Guide)

You want Claude Code. The $20 monthly API bill says no. I spent a week routing Claude Code through OpenRouter’s free tier, and it actually works. Here’s the complete setup that costs you nothing.

What Claude Code Is and Why the Default Setup Costs Money

Let me start with something that confused me when I first heard about this tool: Claude Code is completely free to download. You can grab it right now without paying a dime. The catch? It won’t do anything until you hand it an API key.

The CLI Tool That Changes How You Code

Claude Code is Anthropic’s official command-line coding assistant — think of it like a very capable pair programmer living in your terminal. It reads your files, writes new code, executes shell commands, and can navigate your entire project structure. For developers who’ve used it, the reaction is often something like, “Oh, this is what AI coding assistance actually looks like.”

But here’s where things get interesting. The tool itself is free, but it needs to talk to Anthropic’s servers to work. And that conversation happens through their API — which isn’t free. Anthropic’s direct API pricing starts at $20/month for any meaningful usage. That’s not a typo. Twenty dollars, minimum.

Where the API Costs Actually Come From

This is where most people get stuck. You download Claude Code, you try to run it, and it asks for an API key. You create an account, add a credit card, and suddenly you’re watching charges accumulate with every query. For students, hobbyists, or anyone just wanting to experiment, that price tag becomes a wall.

What surprised me was how the architecture actually works. When you configure Claude Code free of Anthropic’s pricing, you’re not hacking the tool — you’re routing it through a different pathway entirely. The architecture looks like this:

“`

User → Claude Code → OpenRouter API → Free Models (Kimi K2 / Gemma 4)

“`

OpenRouter acts like a traffic controller, letting Claude Code talk to free models instead of paying Anthropic directly. It’s the difference between buying a phone from the carrier store versus bringing your own device.

Understanding this is the first step to getting Claude Code free — and that’s exactly what we’ll dig into next.

OpenRouter: The Free Bridge to AI Coding Models

Here’s the thing — Claude Code is genuinely useful, but most people hit a wall when they realize it needs Anthropic’s paid API to work. That’s where OpenRouter comes in.

OpenRouter is an AI model aggregation service that acts as an intermediary between you and dozens of different language models. Instead of managing separate accounts and API keys for each provider, you get one unified interface that routes your requests to whatever’s available. Think of it like a skilled translator who speaks dozens of languages — you talk to them in one, they handle the rest.

How OpenRouter’s Free Tier Works

The platform offers free tier access to select models with daily request limits. You won’t get unlimited usage, but you get enough to experiment, learn, and build actual projects without spending a dime. The key is that OpenRouter acts as a router — your requests flow through their API, which then connects to free model endpoints on the backend.

This creates a bypass around Anthropic’s paid API while still maintaining Claude Code functionality. Pretty clever, right?

Free Models Available Through the Platform

Two notable options stand out in the free tier:

• Kimi K2 from Moonshot AI — a cloud-based inference model with strong coding capabilities
• Gemma 4 from Google’s open-source language model family

The architecture is straightforward: User → Claude Code → OpenRouter API → Free Models. Your CLI sends requests to OpenRouter, which routes them to whichever free model you’ve configured, then returns the response.

What surprised me here was that daily limits vary by model popularity — some offer hundreds of free requests per day. That’s more than enough for serious experimentation.

The trade-off? You won’t get Claude-level performance, but for learning and prototyping, this setup gets you surprisingly far without opening your wallet.

Setting Up Your OpenRouter Account and Getting a Free API Key

Here’s the good news: you don’t need to hand over your credit card to get started. OpenRouter’s free tier is genuinely free—no trial that converts to charges, no sneaky limitations. You just need an email address.

Creating Your OpenRouter Account

Head to openrouter.ai and click Sign Up. You can use Google or GitHub for quick access, or register with any email. I usually go with GitHub since it’ll save you a step later if you’re already using it locally.

Once you’re in, you’ll land on the dashboard. It shows your credits front and center, which is reassuring. The free tier gives you daily credits that reset automatically—think of it like a faucet that refills itself every 24 hours. You won’t get rich on it, but for experimenting with Claude Code, it’s more than enough.

Generating API Credentials

In the left sidebar, click “Keys” and then “Create Key.” Give it a name you’ll recognize later—something like “claude-code-local” works fine. Click Create, and here’s the important part: OpenRouter will show your key only once. Copy it immediately and paste it into a password manager or a secure note.

If you lose it, you’ll need to delete and regenerate. That’s not the end of the world, but it’s annoying.

Finding Free Model Endpoints

Click “Models” in the sidebar, then filter by “Free” to see what’s available at no cost. You’ll spot Kimi K2 (from Moonshot AI) and Gemma 4 (from Google) right away. Click each one and copy the model ID—you’ll need these exact strings like `moonshotai/kimi-k2` or `google/gemma-4` when you configure Claude Code.

Sound familiar? This is the same pattern you’ll see in many API tools: grab a key, find your model, plug both into your client. Simple once you’ve done it once.

With your API key and model IDs in hand, you’re ready to wire everything into Claude Code.

Configuring Claude Code to Route Through OpenRouter

Here’s something that surprised me when I first discovered it: Claude Code doesn’t actually care which AI model it talks to—it just needs an endpoint that speaks the right language. That’s the insight that makes routing through OpenRouter possible, and it’s why you can skip Anthropic’s pricing page entirely.

Installing Claude Code takes about thirty seconds if you already have Node installed. Just run `npm install -g @anthropic-ai/claude-code`. If you’ve never touched Node before, you might want to install that first from nodejs.org, but for most developers this step is already done.

Once that’s out of the way, you’re essentially setting up a redirect. Think of it like configuring your GPS to take a scenic route—it still gets you to the same destination, just through different roads. You need two environment variables: `ANTHROPIC_BASE_URL` set to OpenRouter’s endpoint, and your OpenRouter API key stored as `ANTHROPIC_API_KEY`. The API key comes free when you create an account at openrouter.ai, and the platform’s free tier genuinely gives you access to models without entering a credit card.

You also need to tell Claude Code which free model to use. Both kimi-k2 (from Moonshot AI) and google/gemma-4-27b work here—I’ve found kimi-k2 handles longer contexts well, but honestly, try both and see which fits your workflow better.

When everything’s configured, your requests flow like this: you → Claude Code → OpenRouter → free model. OpenRouter acts as the interpreter, routing your request to whatever free model you’ve chosen and returning the response in a format Claude Code understands.

Testing Your Setup

Run `claude-code –print ‘Hello’` to verify. If you get a response, you’re golden. If not, double-check that your environment variables are actually loaded and that your API key is correct. Common mistakes include trailing spaces when copy-pasting the key or setting variables in the wrong shell session.

Testing Claude Code with Free Models: What Works and What Doesn’t

I’ve been running Claude Code through OpenRouter’s free tier for a few weeks now, routing to Kimi K2 and Gemma 4 instead of paying for Anthropic’s API. The setup was surprisingly painless—just grab an OpenRouter API key, point Claude Code at their endpoint, and you’re off. Here’s what I’ve learned about where these free models actually hold up.

Real-World Coding Tasks to Try

Both models handle the basics well enough for experimentation. Code completion works reliably, and they both manage file editing and git operations without much fuss. What surprised me was how well they handle boilerplate generation—creating React components, setting up configuration files, that sort of thing.

For learning and prototyping, the free tier gets you surprisingly far. The main limitation is speed; during peak hours, expect slower responses as you wait in the queue. In my testing, I saw response times jump from 5-10 seconds to sometimes over 30 seconds around 2 PM EST. Not a dealbreaker, but something to plan around.

Comparing Kimi K2 vs Gemma 4 Performance

The two models have distinct personalities, if you can call it that.

Kimi K2 (from Moonshot AI) handles complex logic tasks noticeably better. I threw it a recursive algorithm problem and got a clean, working solution on the first try. It also manages multi-file refactoring with fewer hiccups.

Gemma 4 (Google’s open-source model) shines at explaining code and documentation generation. When I asked it to document a messy Python script, it produced clearer, more consistent comments than Kimi K2 did.

Think of it like this: Kimi K2 is better at building, Gemma 4 is better at explaining what you built.

When to Upgrade to Paid API Access

Here’s my take: if you’re learning, experimenting, or working on personal projects, the free tier is perfectly adequate. The moment you’re under a deadline or need consistent response times for client work, the upgrade becomes worth it. Rate limits on free tiers exist for a reason—Anthropic’s API isn’t expensive, but it’s not free either.