How to Run OpenClaw for Free with Gemini's Free API
Run OpenClaw for free by routing it through Google's free Gemini API tier. Step-by-step setup, the daily quota limits to expect, and the gotchas.
Theo Nakamura is a fictional AI persona, not a real person. This article was written by AI and reviewed by a human editor before publishing. How we work →

is free to download and free to run. The thing that quietly costs money is the AI brain behind it — every message you send fires off a call to a paid LLM API, and that bill adds up fast if you wire it to something like Claude or GPT. The fix is to run OpenClaw for free by pointing it at Google's Gemini API, which hands out a genuinely usable free tier with no credit card required.
This guide assumes you already have OpenClaw installed and just want to feed it a $0 model. If you're not sure what OpenClaw even is yet, start with our explainer on OpenClaw or the honest OpenClaw review first, then come back.
Why OpenClaw Costs Money (and How Gemini's Free Tier Fixes It)
OpenClaw is free — the LLM behind it usually isn't
OpenClaw itself is MIT-licensed open-source software. There's no subscription, no per-message charge from the project, and nothing phoning home. But OpenClaw is just the gateway — it doesn't think on its own. Every command you send gets forwarded to whatever LLM provider you configured, and that provider is who charges you.
Plug OpenClaw into Claude or GPT-4o on a pay-as-you-go key and a chatty week of tool calls can quietly cost real money. That's the gap our OpenClaw review flagged: the "free AI agent" headline is only true if the model behind it is also free.
Why Gemini's free API tier is the cheapest way in
Google gives away a free tier on its Gemini API through Google AI Studio. You get a daily quota of requests at no cost, no billing account attached, and the key takes about two minutes to create. For light, personal OpenClaw use — a handful of commands a day, a scheduled task or two — that free quota is usually enough to keep the bill at exactly $0.
Gemini is also a perfectly capable model for this kind of work. If you want the fuller picture on its coding ability, we covered it in is Gemini good for coding. For most OpenClaw automation — running shell commands, checking a site, summarizing a log — it's more than enough.
Step 1: Get a Free Gemini API Key from Google AI Studio
You don't need Google Cloud, a billing account, or a credit card for the free tier.
- Go to aistudio.google.com and sign in with any Google account.
- Click Get API key (or Create API Key) in the left sidebar.
- Choose to create the key in a new or existing Google Cloud project — AI Studio sets this up for you automatically.
- Copy the key. It starts with
AIza....
Treat that key like a password. Anyone who has it can spend against your account, so never paste it into a public chat or commit it to a Git repo. If you're fuzzy on how to store secrets properly, our guide on keeping secrets safe in AI-generated code walks through .env files and .gitignore.
Step 2: Point OpenClaw at Gemini
There are two ways to do this: the onboarding wizard (easiest) or editing the config file by hand.
The easy way: the onboarding wizard
OpenClaw ships with a setup command that wires up the Gemini provider for you. Run it from your terminal and paste in the key when prompted:
openclaw onboard --auth-choice gemini-api-key
It asks for your Google AI Studio key, saves it, and registers the provider so you can reference Gemini models with a google/ prefix. That's it — no JSON editing required.
The manual way: an environment variable plus a model setting
If you'd rather configure it yourself, OpenClaw reads your key straight from an environment variable. Set either GEMINI_API_KEY or GOOGLE_API_KEY — both are accepted:
export GEMINI_API_KEY="AIza...your-key-here..."
Then tell OpenClaw to use a Gemini model by default. In your OpenClaw config, set the primary model under the agent defaults, using the google/ prefix:
{
agents: {
defaults: {
model: { primary: "google/gemini-2.5-flash" },
},
},
}
Restart OpenClaw so it picks up the variable and the model. You don't need to set a baseUrl or endpoint — OpenClaw knows how to reach Google's API once the key is present; those fields are only for custom proxies. You can confirm Gemini is wired up with:
openclaw models list --provider google
Loading the key from an environment variable instead of pasting it into a config file is the safer pattern — it keeps the key out of any file you might accidentally commit to Git.
Step 3: Pick the Right Free Model (Flash, Not Pro)
Gemini comes in two flavors that matter here: the fast, cheap Flash models and the heavier Pro models. For staying free, the rule is simple — default to Flash.
The everyday workhorses are gemini-2.5-flash and the even lighter gemini-2.5-flash-lite, which has the most generous free daily quota of the bunch. Both respond fast, which is exactly what an OpenClaw agent wants for routine tasks like running a command or checking a URL. Reserve a Pro model (like gemini-2.5-pro) for the rare task that genuinely needs deeper reasoning — its free quota is much smaller, so leaning on it will burn through your free allowance quickly.
Set a Flash model as your default in OpenClaw and you'll stay inside the free tier for the vast majority of everyday use.
The Free-Tier Limits You Should Actually Expect
This is where people get surprised, so it's worth being precise. The free tier is not unlimited — it's metered in three ways.
Requests per minute, per day, and tokens
Google caps the free Gemini API on three axes:
- RPM — requests per minute. A hard ceiling on how fast you can fire calls. Around 10 RPM for
gemini-2.5-flash, ~15 forgemini-2.5-flash-lite. - RPD — requests per day. The total free calls per day before it cuts off — roughly 250 for
gemini-2.5-flashand up to ~1,000 forgemini-2.5-flash-lite. - TPM — tokens per minute. A cap on how much text moves through per minute, around 250,000 across the free Flash models.
Google adjusts these numbers periodically and you can always see your exact current limits in Google AI Studio's rate-limit dashboard. The headline takeaway: a Flash model's daily request limit is comfortable for personal use but not for hammering the API in a loop. The daily quota resets at midnight Pacific time.
What happens when you hit the limit
When you exceed a free-tier limit, the API returns a 429 (rate-limit) error rather than charging you. OpenClaw will surface that as a failed response. Nothing breaks permanently — the per-minute limits reset after a minute, and the daily limit resets the next day. You just can't make more free calls until then.
That's actually the safety net that keeps this approach at $0: with no billing account attached, you literally cannot be charged. You either get the free call or you get told to wait.
Gotchas Before You Rely on This
Free-tier data is used to improve Google's models
This is the real trade-off. On the free tier, Google uses your prompts and responses to improve its products, and human reviewers may see them — meaning your data isn't private the way it is on a paid tier. Don't route anything sensitive (private code, secrets, personal data) through a free-tier OpenClaw setup. If privacy matters, you need a paid Gemini tier (where your content isn't used for training) or a different provider.
Rate limits will bite a busy agent
OpenClaw can run scheduled tasks and chain multiple tool calls per message. Each of those is a separate API request. A single "check all my servers and summarize" command can quietly burn through several requests at once, and a cron job that runs every few minutes adds up over a day. If you set up heavy automation, you'll hit the per-minute or per-day cap faster than you'd expect. Keep your scheduled tasks lean.
Keep a fallback or spending cap
The free tier is great until you outgrow it. If you find yourself constantly hitting 429 errors, your realistic options are:
- Switch to a paid Gemini tier (and set a spending cap in Google Cloud so it can't run away).
- Add a second free provider as a fallback — Google's Gemini CLI taps the same free ecosystem from the terminal, and there are other free agents worth knowing.
- Reconsider whether OpenClaw is the right shape for your workload at all. Our OpenClaw vs Claude Code vs Goose comparison lays out when a different free agent fits better.
Is the Free Tier Enough for Real Use?
For a personal OpenClaw setup — texting your server from your phone, a couple of scheduled checks, the occasional "what's eating my disk space" — yes. Gemini's free API tier paired with a Flash model will keep you at $0 indefinitely, and the only thing standing between you and unlimited use is a rate limit that resets on its own.
Where it stops being enough is heavy, always-on automation or anything touching sensitive data. At that point the honest move is a paid tier with a spending cap, not a workaround.
Get your free key from Google AI Studio, run the OpenClaw onboarding wizard, default to a Flash model, and you've got a fully working AI agent that costs nothing. Start small, watch for 429 errors, and scale up only when the free tier actually gets in your way.
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