# Latenode Pricing (2026): CPU-Seconds Explained, With Real Cost Examples

> Latenode pricing explained (2026): the CPU-second model decoded with worked cost examples at 3/10/30-person scale. Free plan (10,000 CPU-seconds, no card), no-base-fee Pay-as-you-go, add-ons, the lifetime deal, and where teams get surprised.

_Source: https://professionalstoolkit.com/articles/latenode-pricing — The Professional's Toolkit · updated 2026-07-29_

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> **TL;DR —** Latenode prices automation on a meter almost nobody else uses: **CPU-seconds — the actual compute time your workflows spend running.** Not per task, per operation, per execution or per action, the way most automation tools bill. The practical upshot is unusual: **adding steps is nearly free, but slow steps cost.** A twenty-node scenario that finishes in six seconds costs the same as a two-node scenario that also takes six seconds. The **Free plan gives 10,000 CPU-seconds a month with no credit card**; **Pay-as-you-go** has no base fee — your first 10,000 CPU-seconds are free, then you pay a tiered rate (roughly **$0.00012 down to $0.00005 per CPU-second** as volume grows) with unlimited active workflows; and a **one-time lifetime deal** exists for teams that would rather pay once. There's no traditional Enterprise tier. For logic-heavy, fast-running automations this is dramatically cheaper than per-step tools; for genuinely slow, heavy computation, the CPU-second meter is the number to watch. Below: every tier, the counting mechanics, worked cost examples at 3/10/30-person scale, the add-ons, and where teams get surprised.

## The one idea that changes everything: you pay for time, not steps

Every mainstream automation tool meters *events*. Zapier charges per **task** — each action step that runs. Make charges per **operation** — each module firing. n8n (Cloud) charges per **execution** — each workflow run. Pabbly charges per **external action**. Latenode throws that model out and charges for **CPU-seconds — the compute time your workflow actually consumes while running**[1].

That single design choice inverts how you think about cost. On a per-step tool, every action you add inflates the bill, so you're quietly rewarded for building *thin* workflows. On Latenode, **complexity is close to free** — what you pay for is *duration*. A scenario with twenty nodes that completes in six seconds costs the same as a two-node scenario that also takes six seconds, because both burned roughly the same compute time. What runs up the meter is **slow work**: waiting on a sluggish external API, processing large payloads, long-running loops, heavy data transforms.

So the optimization discipline flips. On Zapier you minimize *steps*; on Latenode you minimize *time* — batch requests, cache results, avoid needless waits, and don't let one slow node dominate a run. For teams whose automations are logic-dense but fast, this is where Latenode gets dramatically cheaper than the incumbents. For teams doing genuinely heavy, slow computation, it's the meter to respect.

## The plans, tier by tier

Latenode keeps the structure deliberately simple — there are effectively two plans plus add-ons, not a five-tier ladder[1]:

| Plan | Price | CPU-seconds | Active workflows | Execution limits | For |
|---|---|---|---|---|---|
| **Free** | $0, no card | 10,000 / month | 5 | 3-min max run · 1 worker · 3-day history | Trying it, small personal automations |
| **Pay-as-you-go** | No base fee | First 10,000 free, then tiered per-second | **Unlimited** | 10-min max run · 3 workers · 30-day history | Real production use at any volume |
| **Lifetime deal** | One-time payment | Bundled allowance | Per the deal terms | — | Teams who'd rather buy once than subscribe |

A few things stand out. The **Free plan is genuinely usable**, not a crippled demo: 10,000 CPU-seconds a month, five active workflows, and — unusually — the AI features included (AI Code Copilot on trial, an AI-Agent node, RAG storage), with no credit card required[1]. **Pay-as-you-go has no monthly base fee at all** — a quiet month costs almost nothing, because you only pay for compute above the free 10,000. And there is **no traditional Enterprise tier** with negotiated seats and SLAs; the usage model is the whole pricing story.

The tiered rate matters at volume: the per-CPU-second price *falls* as you use more (roughly **$0.00012 at low volume down to ~$0.00005 at high volume**)[1], so heavy users get a declining marginal cost rather than a step-jump to a pricier plan. That's the opposite of the per-task tools, where crossing a threshold bumps you to the next tier's flat fee.

## How CPU-seconds are counted — the mechanic to internalize

Here's the mental model that keeps your bill predictable:

- **You're billed for wall-clock compute time per run**, summed across the month. A run that takes 4 seconds of compute uses ~4 CPU-seconds. Ten thousand such runs = ~40,000 CPU-seconds.
- **Node count barely matters; node *speed* is everything.** Adding a data transform, a filter, a branch — cheap, because they execute in milliseconds. Adding a step that waits 30 seconds on a slow API — expensive, because those 30 seconds are on the meter.
- **The execution ceiling is a hard cap, not just a cost lever:** Free runs max out at 3 minutes, Pay-as-you-go at 10 minutes (extendable via add-on to 20–60). A workflow that would run longer gets cut, so genuinely long jobs need the time add-on.
- **Plug-n-play tokens are separate.** Certain paid-provider nodes consume $1 "plug-n-play" tokens on top of CPU-seconds — a distinct line item, not part of your compute meter[1]. Budget for them separately if your workflow leans on those specific connectors.

## A worked example — the same workflow, three outcomes

Take a lead-enrichment automation: a webhook trigger, an AI classification step, and a CRM write. Assume it completes in about **4 seconds per run**.

**Scenario A — fast and lean.** 2,000 leads a month × 4 CPU-seconds = **~8,000 CPU-seconds**. That's inside the free 10,000 — this workflow costs **$0**.

**Scenario B — same workflow, ten more nodes.** You add ten steps of routing, formatting and branching that don't slow it down — total still ~4.5 seconds per run. 2,000 runs × 4.5 = ~9,000 CPU-seconds. Still **~$0**. On a per-step tool, those ten extra actions would have roughly *quintupled* your task consumption; here the bill barely moves. **This is the CPU-second advantage in one line.**

**Scenario C — same workflow, one slow node.** Now swap in a scraping step that makes each run take **40 seconds**. Same 2,000 runs × 40 = **~80,000 CPU-seconds** — ten times the compute, from a single slow node. Above the free 10,000 you'd pay for ~70,000 CPU-seconds; at the low-volume rate (~$0.00012) that's roughly **$8–9**, falling as the tiered rate kicks in. Still cheap in absolute terms — but it shows exactly where the meter moves: *time, not steps.*

The lesson for budgeting: **profile your slowest node, not your step count.** If your workflows are fast, Latenode is close to free at real volume. If one node is a bottleneck, either optimize it (batch, cache, parallelize) or expect it to dominate the bill.

## What it costs at 3, 10 and 30 people

Because pricing is usage-based rather than per-seat, **team size barely drives the bill directly** — what drives it is total compute across everyone's workflows. That's a meaningful difference from per-seat tools where each new user is a line item.

- **A 3-person team** running a few dozen fast automations a day will very often live inside or just above the free 10,000 CPU-seconds — call it **$0–15/month** in practice, depending on how much slow work is in the mix.
- **A 10-person team** with heavier, always-on automations (enrichment, notifications, syncs) typically lands in the **low tens of dollars a month** on Pay-as-you-go — still dramatically under a comparable Zapier/Make task-or-operation bill at that activity level, provided the workflows are fast.
- **A 30-person team** running high-volume production automation will use meaningfully more compute, but benefits from the **declining per-second rate** — the marginal CPU-second gets cheaper as volume climbs, so the bill scales sub-linearly rather than jumping tiers.

These are illustrative profiles, not quotes — your real number is set by *how much slow compute your workflows do*, which is why the worked example above matters more than any headline price. The honest framing: reviewers repeatedly cite Latenode as far cheaper than Zapier, Make and Pipedream (one cites migrating from Pipedream at roughly **5× cheaper**)[3][5] — and the CPU-second model is exactly why, for fast automations.

## Add-ons: buy the one dimension you actually hit

Rather than forcing a whole-tier jump when you outgrow one limit, Latenode lets you buy the specific resource you need[1]:

- **Reserved execution workers** — ~$10/month each, for more concurrency.
- **Longer execution time** — extend the 10-minute ceiling to 20–60 minutes (~$10–30).
- **Larger file handling** — 32MB up to 1024MB (~$5–70).
- **Extra RAG storage** — ~$10 for AI-grounding capacity.
- **Reduced polling intervals / high-volume event filtering** — small add-ons (~$5–20) for latency-sensitive or high-throughput triggers.

This à-la-carte approach is genuinely user-friendly: if the only thing you need is a longer run time, you pay ~$20 for it instead of jumping to a hypothetical "Pro" fee that bundles ten things you won't use. Confirm which add-ons your hardest workflow needs *before* you commit, so the real monthly number includes them.

## Where teams get surprised

Three honest gotchas to plan around:

1. **A single slow node dominates.** As the worked example shows, one 40-second step can 10× your compute. If a bill looks high, profile for the slow node first — it's almost always the culprit, and often fixable with batching or caching.
2. **The execution ceiling cuts long jobs.** Free caps runs at 3 minutes, Pay-as-you-go at 10. A genuinely long-running job (large scrape, big batch) needs the time add-on, or it gets terminated mid-run.
3. **Plug-n-play tokens are a separate meter.** If your workflow relies on paid-provider nodes, those $1 tokens sit outside your CPU-second budget — easy to forget when estimating.

None of these are dealbreakers; they're just the shape of a compute-based meter. Once you internalize "optimize for speed, watch the ceiling, budget tokens separately," the bill is very predictable — and usually low.

## Estimate your monthly bill in 60 seconds

You don't need a spreadsheet to sanity-check Latenode's cost — three numbers get you close:

1. **Average run time.** Watch a handful of real executions and note roughly how many seconds each takes. Call it *T* (say, 5 seconds). If you don't know yet, assume a fast logic-only workflow runs 2–5 seconds and one with a slow external call runs 10–40.
2. **Runs per month.** Triggers per day × 30, summed across your active workflows. Call it *R* (say, 300/day × 30 = 9,000).
3. **Multiply, subtract the freebie, apply the rate.** *T × R* = your monthly CPU-seconds. Subtract the free 10,000. Multiply what's left by ~$0.00012 (low volume) down to ~$0.00005 (high volume).

**Worked:** 5 seconds × 9,000 runs = 45,000 CPU-seconds. Minus 10,000 free = 35,000 billable. × ~$0.00012 ≈ **~$4/month.** Double the run count and you're still under $10. Now imagine one workflow has a 30-second scraping node instead of 5 — that workflow alone could dwarf everything else, which is exactly why *T* is the number to watch, not *R*. If your estimate comes out high, the fix is almost always "make the slow node faster," not "run fewer workflows." Add any **plug-n-play tokens** ($1 each) and **add-ons** (workers, longer run time) your workflows need on top — those are fixed, predictable line items you already know from setup.

That's the whole calculation. Because there's no per-seat fee and no base subscription on Pay-as-you-go, this back-of-envelope number is usually the *entire* bill — which is why cost rarely comes up as a complaint in Latenode reviews, and affordability comes up constantly[3][5].

## The bottom line

Latenode's pricing is the clearest expression of what the product is: **an affordable, builder-first platform where complexity is cheap and time is the currency.** Start on the genuinely usable **Free plan (10,000 CPU-seconds, no card)**, move to **Pay-as-you-go (no base fee, tiered per-second, unlimited workflows)** when you outgrow it, and buy add-ons for the one limit you actually hit. For logic-heavy, fast-running automations — which is most business automation — it's one of the cheapest serious options in the category. Just profile your slowest node before you scale, and remember the meter measures *time, not steps.* New here? Start with the [tutorial](/articles/latenode-tutorial), read the full [review](/articles/latenode-review) for the verdict, or see the [AI playbook](/articles/latenode-ai-playbook) for where the built-in models pay off.

## References

[1] Latenode — official pricing (CPU-seconds model) — https://latenode.com/pricing-plans (2026-07)
[2] Latenode — features, 1,200+ AI models, JS/NPM — https://latenode.com/ (2026-07)
[3] Latenode — Capterra reviews (4.9/5, 68) — https://www.capterra.com/p/10016543/Latenode/reviews/ (2026-07)
[4] Latenode — GetApp reviews (4.9/5, 68) — https://www.getapp.com/development-tools-software/a/latenode/reviews/ (2026-07)
[5] Latenode — Product Hunt community (4.9/5, 30) — https://www.producthunt.com/products/latenode/reviews (2026-07)