Lovable Pricing: Credits, Running Costs and Budget Control

Published on November 9, 2026 by Steven Jones

Lovable pricing starts at $0, with Pro from $25 a month and Business from $50. But the subscription is only one part of the budget. The same general credit balance pays for building an app, running its Lovable Cloud backend and powering AI features used by customers. An app can consume credits long after development slows down.

This guide separates cash paid from credits consumed, models three different months and shows when a top-up, a higher tier or a smaller running workload is the better decision. The figures are hypothetical budgeting inputs, not measured app costs. You can replace them in the accompanying recalculable worksheet. Check Lovable’s current pricing and credit tiers before committing.

Lovable plan prices and allowances, checked 9 November 2026

Plan	Subscription price	General plan credits	Best reason to choose it
Free	$0	No paid monthly credit allocation	Prototyping and limited use
Pro	From $25/month, or $250/year	From 100 per month	Custom domains, code access and ongoing building
Business	From $50/month, or $500/year	From 100 per month	SSO, governance and additional workspace controls
Enterprise	Custom contract	Contract-specific	Large-scale governance and negotiated terms

Pro and Business offer larger credit tiers, not a charge per team member. The 100-credit entry tiers share credits across their workspaces. Annual subscriptions charge upfront, but their plan credits are still issued monthly. Prices above are in US dollars before any applicable tax.

Free currently receives five daily build credits, capped at 30 per calendar month. Pro and Business receive five daily build credits without that monthly cap. Free, Pro and Business also list monthly grants of 20 Cloud credits, four in-app AI credits and one managed-connector credit. Those grants are usage-specific: an unused Cloud grant cannot fund a repair prompt, and unused daily credits cannot be saved for the weekend. Lovable labels the monthly Cloud, AI and connector grants as temporary and subject to change.

A separate daily chat allowance also exists, but Lovable’s documentation described its promotional pricing period as lasting through 31 October 2026. Check the allowance shown in your workspace rather than treating an older offer as guaranteed. The authoritative details on credit order, expiry and usage categories are in Lovable’s credits and usage documentation. For the platform’s technical strengths and limitations rather than the bill, see our Lovable review.

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Calculate what leaves your balance, not just what your plan includes.

Lovable uses available usage-specific grants first, then general credits closest to expiry. For a monthly Pro or Business subscriber, unused monthly plan credits can roll over while the subscription stays active. Still, each allocation expires two months after it’s issued, and purchased top-ups expire two months after they’re issued. Annual plan credits follow a different rule: they are still issued monthly and expire one month after the annual billing period ends.

The worksheet calculates general credits required by adding four amounts: build and chargeable chat usage after daily credits actually redeemed; Cloud usage after its Cloud grant; deployed AI usage after its AI grant; and managed connector usage after its connector grant. Each component has a floor of zero. It then compares that demand with existing valid credits and the new monthly allocation, and buys only the number of top-up packs needed to meet a chosen closing reserve.

On Pro, a 50-credit top-up currently costs $15; on Business it costs $30. Thus, the worksheet uses packs needed = round up [maximum of zero, (general demand + desired reserve – available credits) / 50]. Cash paid is the subscription charge plus purchased packs and any external costs entered separately. It is not a prediction based on visitor counts or the number of prompts.

For the daily grant input, use credits actually covered on the days you worked. Five credits available each day does not mean you can subtract 150 from one busy afternoon. Likewise, use usage figures recorded for your own plan rather than another subscriber’s screenshots.

Three example months: the same plan, three different decisions

All three examples use Pro 100 on monthly billing, with a hypothetical cycle running from 9 November to 9 December 2026. An older rollover lot, where present, expires on 9 December; the new 100-credit allocation expires on 9 January 2027. Top-ups are assumed purchased on 9 November and expire on 9 November 2027. Grant levels are those listed above.

Worksheet input or result	Quiet maintenance	Repair burst	App still live
Starting rollover + new plan credits	25 + 100	0 + 100	10 + 100
Build demand minus daily credits actually used	18 – 10 = 8	250 – 30 = 220	10 – 5 = 5
Cloud demand minus 20-credit grant	12 – 20 = 0 used	30 – 20 = 10	110 – 20 = 90
In-app AI demand minus 4-credit grant	2 – 4 = 0 used	10 – 4 = 6	50 – 4 = 46
Connector demand after 1-credit grant	0	0	0
Total general credits needed	8	236	141
Desired closing reserve	0	0	20
New top-up credits	0	150	100
Cash paid this cycle	$25	$70	$55
Closing general balance	117	14	69
Credits expiring at the next renewal	17 old rollover credits	0	0

The values are scenario assumptions, not average usage or a claimed cost to build a finished app. No tax, external API charge, domain fee or other software subscription is included in the cash figures. The workbook also lets you set temporary monthly grants to zero and recalculates both the required purchase and remaining reserve.

A quiet month: the cheapest subscription can still waste credits

In the maintenance example, 8 general credits are consumed from the oldest 25-credit rollover lot. The new 100-credit allocation remains intact, leaving 117 credits on 9 December immediately before expiry. However, 17 of those credits belong to the older lot and expire at renewal. The useful balance after that expiry, before the next month’s allocation, is 100.

This is where annualising a quiet month can mislead. A lower reported cost per credit has little value if a project rarely needs the credits before they expire. Keep Pro if you require its paid features, such as a custom domain or code access, or expect meaningful development before the older allocation expires. If the project can operate within Free’s restrictions and usage grants, downgrading might make sense. Check the effects on your deployed backend first: cancelling a paid subscription does not create an unlimited free running budget, and remaining paid credits are no longer available once the workspace moves to Free unless you resubscribe before they expire.

A repair burst: compare a top-up with the next subscription tier

The repair scenario needs 236 general credits. A Pro 100 subscription leaves a 136-credit shortage, rounded up to three 50-credit packs. That means $25 + $45 = $70 in cash for the month, with 14 purchased credits left. If you could choose a tier at the start of that same cycle, the alternatives look different:

Purchase route	Credits available	Cash for the cycle	Credits left after 236 used
Pro 100 + 150 top-up	250	$70	14
Pro 200 + 50 top-up	250	$65	14
Pro 400 only	400	$100	164

The Pro 200 option saves $5 in this deliberately narrow comparison, but it is not automatically the best choice for an unexpected mid-cycle problem. You may have already paid the first month’s subscription, and changing tiers mid-cycle may trigger prorated charges. More importantly, top-up credits last longer than unused monthly plan credits. For occasional repairs, paying slightly more for a one-off purchase can be preferable to committing to larger recurring allocations.

Before purchasing anything, check what each failed edit actually cost. A run that repeatedly modifies too many files may indicate an instruction or debugging issue, not that a bigger plan is necessary. Split structural changes into a reviewable plan, implementation and verification instead of paying for a sequence of vague repair requests.

A live app: reserve credits for the backend before more development

In the third example, development uses only five general credits, yet Cloud and in-app AI use 136 more after their grants. The 110 credits already available cannot cover 141 credits of demand. One 50-credit top-up would leave 19 credits and cost $40 in total with the plan. Entering a 20-credit closing reserve instead forces two top-up packs, raising this cycle’s cash to $55 and leaving 69 credits.

That extra $15 is a deliberate liquidity decision, not evidence that Lovable charges $55 to host a particular type of app. The reserve is only a planning target. It does not guarantee uptime, and subsequent consumption can erode it. If the same run demand persists, it exceeds the new monthly plan allocation even without further feature development. Monitor a representative run period and revise the reserve before adding customers.

Changing the temporary-grant assumptions exposes another blind spot. Without the monthly Cloud, AI and connector grants, the repair-burst bill in this example increases from $70 to $85. The live-app bill remains $55 because the two-pack purchase still covers the need, but its closing balance falls from 69 to 44 credits. A fixed invoice can conceal shrinking headroom.

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Do not compare Pro and Business credits one-for-one

At the 100-credit entry tiers, Lovable values a Pro credit at $0.25 and a Business credit at $0.50 when translating Cloud and AI usage into credits. A hypothetical $10 of equivalent running usage would therefore be represented as 40 Pro credits or 20 Business credits before the relevant grants. The underlying Cloud and AI charge in dollars does not double on Business. The number of credits deducted changes because their value differs.

Top-up purchase prices are another calculation: $0.30 per Pro credit and $0.60 per Business credit. Do not use the top-up purchase price as though it were the metering value for Cloud or AI. Business is principally a purchase of organisational features and governance. Compare the same workload’s cash value and actual plan-specific usage before declaring one plan cheaper on the strength of a raw credit count.

Set billing controls that match the risk of your app

1. Inspect the recorded usage first. In Workspace settings > Plans & credit usage > Usage details, separate Build credits from Run credits. Filter Run by project and review database, compute, network, storage, realtime, in-app AI and connector usage. New Run usage may take up to 24 hours to appear.
2. Investigate idle-looking projects. A frequent polling loop or scheduled background job can keep database resources active despite little visitor traffic. Check scheduled jobs, repeated connections and database activity before assuming the bill is proportional to users.
3. Use the correct limit. Member credit limits control building and chat, not the Run credits consumed by deployed apps. Project or workspace usage limits can restrict broader spending, but a hard stop may also interrupt a production service.
4. Configure top-ups deliberately. One-time purchases suit irregular bursts. For live applications, consider an auto top-up trigger with a finite monthly limit and payment-failure alerts. The auto top-up calendar-month limit is separate from the subscription renewal date.
5. Keep an operational fallback. At zero credits, building stops, deployed AI features can fail, and Lovable Cloud backend services can pause, even if a published page still loads. Record who can approve a top-up and how the backend will be checked after recovery.

The purchasing rule is straightforward: start with Pro 100 if its features fit and you can fund the expected usage; buy a one-off top-up for an isolated burst; consider a higher Pro tier when you need extra credits consistently; and choose Business for its controls rather than a misleading comparison of credit totals. If maintaining and testing the generated code is becoming the higher cost, our AI coding tools comparison explains the alternatives to a prompt-to-app workflow.