Hostinger's OpenClaw Template: What the Bundled AI Credits Actually Cost

Hostinger’s OpenClaw template is the fastest way to get an agent running — a few clicks instead of a shell session — and it bundles model access through nexos.ai so you don’t need a separate API key.

The obvious question is what that convenience costs. And the honest answer is that you cannot determine it from the published documentation, which is itself the most useful thing to know before you commit.

What Hostinger does publish

Hostinger documents credit consumption rates per model, measured per million tokens:

Set those against Anthropic’s published direct pricing for Sonnet — $3.00 input and $15.00 output per million tokens — and something clean falls out.

The ratio is preserved exactly. Anthropic charges input and output at 1:5. Hostinger’s credit rates are 3.3:16.5, which is also 1:5. So Hostinger applies a uniform multiplier across input and output rather than marking one up harder than the other — a mildly reassuring finding, because differential markups are where this kind of billing usually gets ugly.

The number that isn’t published

Here’s the gap. To convert credits into money you need the credit-to-dollar rate, and Hostinger’s credit documentation doesn’t state it. The page explains what input and output tokens are, and lists consumption per model, and stops.

That matters because the multiplier depends entirely on it:

• If 1 credit = $1, then 3.3 credits against $3.00 direct is a 10% markup, and 16.5 against $15.00 is likewise 10%. Consistent, modest, and a fair price for consolidated billing.
• If 1 credit is worth less than that, the effective markup falls — and could reach zero.
• If it’s worth more, the markup rises accordingly.

The 1:1 reading is the natural one and produces a tidy 10% on both sides, which is the most likely answer. But it is an inference, not something Hostinger states on those pages.

Treat third-party markup claims with real caution. The figures in circulation range from a 5% platform fee — which is what nexos.ai states for its own platform — up to claims of 90–100% more expensive than going direct, which originate from a vendor selling a competing OpenClaw product. Both ends of that range have an interest in the number. The spread is the story: if the markup were obvious, there wouldn’t be one.

What Hostinger says the whole thing costs

To its credit, Hostinger publishes total-cost tiers for running OpenClaw, which is more transparency than most hosts offer:

Note the shape of the personal tier: the server is $6.99 and the tokens are $1–6. At light usage the server dominates. By the “scaling teams” tier the relationship has inverted completely and the model API is most of the bill — which is the pattern we found across the whole category in how much OpenClaw costs to run.

That inversion is what decides the credits question. A 10% markup on $3 of tokens is thirty cents a month and not worth a moment’s thought. A 10% markup on $150 of tokens is $15 a month, every month, for billing convenience.

Bundled credits or your own API key?

Use the bundled credits if you’re starting out, you want the agent working today without a second signup, you’re at the personal-project usage level, or you genuinely value switching between Claude, ChatGPT and Gemini from one dashboard without juggling keys.

Bring your own API key if your token spend has grown past a few dollars a month, you already hold an API account, or you want to use provider features — prompt caching in particular — configured exactly as you choose. At meaningful volume, a uniform percentage on top of your largest cost line is worth removing.

The transition point is roughly where tokens overtake the server. Below that, the convenience is close to free. Above it, you’re paying a percentage of a growing number for something you can replicate with one environment variable.

One caveat worth knowing: Hostinger documents that credit balances can go negative, which means consumption isn’t hard-capped at your balance. If you’re running an agent with an aggressive heartbeat, that’s a reason to watch the balance rather than assume it fails safe.

How to work out your own effective rate

Since the documentation won’t tell you, measure it:

1. Note your credit balance, then run a known workload — a handful of tasks you can count.
2. Read the credits consumed and convert using the published per-model rates above to get your token volume.
3. Price that same token volume at the provider’s published rate — $3/$15 per million for Sonnet.
4. Divide. The result is your actual multiplier, whatever the credit unit turns out to be.

Do it once in your first week. It takes ten minutes and settles a question that otherwise recurs every billing cycle.

And before optimising the markup at all, check the two settings that dominate agent cost regardless of who sells you the tokens: the heartbeat interval and prompt caching. A 30-minute heartbeat against a frontier model runs into the tens of dollars a month before the agent does any work, and caching cuts repeated prefix costs to roughly a tenth. Both are covered in the cost breakdown. Fixing those saves multiples of what the credit markup costs.

Is the template worth it?

Separately from the credits: yes, for most people starting out — though note there are two products under this name, and the choice decides who administers the server. Our setup guide covers the split and the install flow.

The template removes roughly forty minutes of Docker setup, the browser terminal means you can read logs without configuring SSH keys, and weekly backups plus a free snapshot give you an undo. The plan-selection question — KVM 1 versus KVM 2 — is covered in our Hostinger plan guide for AI agents, and the short version is that KVM 2 is the floor once your agent opens a browser.

None of that is contingent on using the bundled credits. You can take the template and supply your own API key, which for a heavy user is the best of both.

Check Hostinger VPS pricing → · Read our Hostinger review

How we picked the figures

Credit consumption rates and the total-cost tiers come from Hostinger’s own support documentation and tutorials, read in August 2026. Anthropic’s $3/$15 per million tokens for Sonnet is that provider’s published rate.

We have not purchased credits and reconciled a bill, which is the only way to establish the credit-to-dollar rate definitively — and since Hostinger doesn’t publish it on the pages documenting consumption, we’ve shown the arithmetic under a stated assumption rather than asserting a markup as fact. The 10% figure follows if a credit is a dollar; we’ve said so explicitly rather than presenting it as verified.

We’ve also deliberately not repeated the 90–100% markup figure as though it were established. It comes from a company selling a competing product, and the contrary 5% figure comes from the platform itself. Neither is a neutral source.

This page contains affiliate links, including to the provider under discussion. That’s precisely why the section above tells you to measure your own rate rather than take our word for the markup.

FAQ

How much does Hostinger’s OpenClaw template cost?

Hostinger puts total OpenClaw cost at $6–13/month for personal projects — roughly $6.99 for a KVM 1 server plus $1–6 in AI tokens — rising to $25–50 for small business use and $100–200+ for heavy automation. The template itself isn’t a separate charge; you’re paying for the VPS and the model usage.

What is the nexos.ai markup on Hostinger?

Not publicly documented in a way that lets you compute it. Hostinger publishes credit consumption per model — Claude Sonnet 4.5 at 3.3 credits input and 16.5 output per million tokens — but not the credit-to-dollar rate. If a credit is a dollar, that’s a 10% markup on Anthropic’s $3/$15 direct pricing. Third-party estimates range from 5% to 90%, from sources with an interest either way.

Should I use my own API key with Hostinger OpenClaw?

Once your token spend exceeds a few dollars a month, yes. Below that the convenience of consolidated billing outweighs a small percentage. Above it, you’re paying a percentage of your largest and fastest-growing cost line for something one environment variable replaces.

Can Hostinger AI credits run out mid-task?

Hostinger documents that credit balances can go negative, so consumption is not hard-capped at your balance. Monitor it rather than assuming it fails safe — particularly if your agent has a frequent heartbeat, which consumes tokens continuously whether or not you’re using it.

Which models can I use with the bundled credits?

The integration covers Claude, ChatGPT and Gemini through a single dashboard, with per-model credit rates. Lighter models are dramatically cheaper — Gemini 3 Flash consumes 0.5 credits per million input tokens against Claude Sonnet 4.5’s 3.3 — so model choice affects your bill far more than the markup does.

Is managed OpenClaw cheaper than self-hosting it?

They’re different shapes. Managed bundles infrastructure, deployment and AI usage into one bill; self-hosting means paying separately for the VPS, tokens, backups and monitoring, and doing the setup. At personal-project volume the totals are close and the managed route saves time. At scale, separating them gives you control over the largest cost line.