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

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]:

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, read the full review for the verdict, or see the AI playbook for where the built-in models pay off.