AI App Builder Pricing Comparison 2026: Lovable vs Bolt vs Replit vs Bubble vs Base44

Quick answer: As of August 2026, the cheapest paid plans for AI app builders cluster between $16 and $32 a month: Base44 Starter around $16, Bolt Pro and Replit Core and Lovable Pro at $25, v0 Plus at $30 per user, and Bubble Starter at $32. Every one of them meters usage on top of that subscription - credits, tokens, or workload units - so the number on the bill scales with how much you build and run, not the sticker price. The right pick depends less on the headline number than on how each tool meters, and on whether you are pricing a prototype or a product. Pricing on all of these changes often, so treat every figure here as a snapshot and check the live page before you buy.

There is no single "AI app builder price," because these tools do not sell you an app. They sell you capacity to generate and run one, metered in a unit that is easy to misread at signup. Two people on the same $25 plan can pay wildly different real totals depending on how much they iterate and how much traffic the app carries.

So the useful comparison is not "which is cheapest." It is "which meters usage in a way that matches how I work, and what will the total actually be once credits, hosting, and the hard-to-finish last slice are included." That is what this guide lays out, starting with a single master table.

What Do AI App Builders Actually Cost in 2026?

Here is the side-by-side, current as of August 2026. Prices and limits on these platforms change frequently, so each row links to the live pricing page - verify before you commit.

A few things the ranking hides, because they matter more than the order of the numbers.

The $25 tier is a real cluster. Lovable Pro, Bolt Pro, and Replit Core all land there, and it is not a coincidence - it is the price the market has settled on for "one serious builder, enough capacity to make real progress." Base44's Starter is nominally cheaper at around $16 a month on annual billing, but its own guidance points most real projects to the Builder tier for custom domains, backend functions, and integrations, which lands it back near the others. Bubble's $32 Starter looks comparable but is a fundamentally different product: it does not generate code from prompts by default, it runs a visual programming environment, and its meter is server compute, not AI work.

The free tiers are trials, not homes. Every free plan here is scoped to let you evaluate the tool, not to run anything real on it. Lovable's 30 credits a month, Bolt's 1M tokens, v0's seven messages a day - each is enough to answer "does this build what I want" and no more. We break down exactly what Lovable's free plan does and does not cover in Lovable pricing 2026.

Different meters are the whole story, so they get their own section next.

How Does Each Tool Meter Usage - and Where Do the Bills Come From?

This is the part the sticker price hides. Two builders on identical plans pay different totals because the meter runs on different things. Here is what each unit actually measures and where the surprise charges come from.

Read the middle column twice, because it is where budgets go wrong. Lovable, Bolt, Replit, and v0 meter your building - you spend the unit while you are actively working, which means the cost tracks iteration. The tools that penalize iteration hardest are the ones you use for hard problems, because hard problems need more back-and-forth, not less. That is the trap in Lovable's credit model at scale: the exact work that is expensive to build - auth, permissions, integrations that handle failure - is the work that eats the most credits per unit of progress.

Bubble and the "integration credits" half of Base44 meter something different and more dangerous to forget: production traffic. Their meter keeps running when real users use the app, whether or not you are logged in. A Bubble app that gets popular consumes workload units on every query and workflow, so success raises your bill automatically. That is not a flaw - it is a usage-based model doing what it says - but it means the price you modeled while building is not the price you pay while running.

Then there are the charges that sit outside the meter entirely: per-seat costs when a second person joins, marked-up API passthrough when the platform brokers your OpenAI or Stripe calls, support gated behind higher tiers, and the migration effort when you leave. We itemize all of those in AI app builder hidden costs, and the exit cost specifically in AI app builder vendor lock-in. None of them appear on the comparison table above. All of them appear on the bill.

Why Is the Subscription Price Not the Real Price?

The subscription is the price to prototype. It is not the price to ship. Those are two different numbers, and conflating them is the single most common pricing mistake founders make with these tools.

Here is the mechanism. AI app builders get you to roughly 60 to 70 percent of a real product remarkably cheaply - the screens exist, the data saves, the demo convinces. For that stretch, the cost really is close to just the subscription plus your own hours, and the tools are genuinely excellent. If your goal is a prototype, an internal tool, or a validation build for a handful of trusted users, that may be the entire job, and you should not overpay for more. Our roundup of the best vibe coding tools in 2026 covers which tool wins that prototype race.

The gap opens on the last 30 to 40 percent, and it is not evenly hard. It is a specific list: real authentication and tenant isolation, permissions that never leak one account's data to another, integrations that survive a webhook arriving twice or an API timing out, data that stays correct under concurrent use, and the operational work of hosting, monitoring, and patching. That slice is where the metered cost spikes - because it is all iteration - and where the app either becomes real or quietly stalls. If you want the full picture of that failure mode, the best no-code app builders comparison is honest about which categories of app hit the wall and which do not.

So the real total for shipping stacks up in layers on top of the headline plan:

• The subscription - the number on the pricing page, $16 to $32 for one builder.
• Metered overage - the credits, tokens, or WU you burn past the plan's included allowance, which for active building routinely exceeds the base plan itself.
• Per-seat and passthrough - a second editor, and any API costs the platform brokers at a margin.
• Hosting and runtime - the meter that keeps running on production traffic after launch.
• The completion cost - the weeks of hardening, or the developer you eventually hire, to finish the part the builder could not.

A realistic B2B build on one of these platforms - a couple of editors, a few integrations, real users - lands closer to $135 to $160 a month than the headline $25, and that is before the completion cost, which is labor, not subscription. None of that makes AI builders a bad deal. For the speed they deliver, $150 a month is cheap. It makes "the price to prototype" and "the price to ship" two separate questions you should answer separately.

How Should I Choose an AI App Builder by Budget and Stage?

Match the tool to the stage you are actually at, not the product you imagine shipping. Here is the map.

The pattern across the table is consistent: the further down you go, the less the subscription price matters and the more the meter and the completion cost dominate. At the top of the table, pick on speed and free-tier fit. In the middle, pick on how the meter behaves for your kind of work. At the bottom, the question stops being "which tool is cheapest" and becomes "who carries the hard 30 to 40 percent," because that is where the real money and real risk live regardless of which logo is on the invoice.

Three honest rules of thumb before you buy:

Estimate the meter on a real feature, not a demo screen. Build one representative feature from your actual project on the free tier and count the credits, tokens, or WU it consumes. Multiply by your feature count. That number, not the plan price, is your real monthly cost.

Price the production run, not just the build. For anything with real users - especially Bubble, Base44 integrations, or any app with runtime AI - the meter keeps running after launch. Model the cost at the usage level you are trying to reach, not the level you build at.

Decide prototype vs product up front. If you need to validate an idea, buy the cheap prototype and stop. If real money or sensitive data is involved, price for the full 100 percent from the start, because the completion cost is coming either way.

Where Creatr Fits

Creatr builds, hosts, and runs production-grade software for you, with the first build shipped in 24 hours and code you own outright. It sits in a different column than every tool in the table above, and it is worth being precise about where that difference is worth it and where it is not.

The reason Creatr exists is the exact pattern this whole comparison is about: the first 60 to 70 percent of a product is now cheap and fast on any of these builders, and the hard, expensive, metered 30 to 40 percent - auth, tenant isolation, integrations that handle failure, data correctness, hosting, monitoring - is where projects stall and where the real cost hides. The self-serve tools hand that part back to you. Creatr is built to deliver the whole thing, finished and running, with humans in the loop rather than a meter you have to operate alone.

So the honest fit test is the same one from the stage table. If you are prototyping, validating, or building an internal tool with a handful of trusted users, one of the builders above is very likely the right, cheap call, and you should use the pricing here to pick well. If you are at the point where the metered credit model is the wrong constraint - where the question is no longer "how many iterations to get the screen right" but "will this hold up for a hundred users with different roles and real data" - that is where a managed build changes the math. We will not claim to beat every agency on price, because that depends entirely on scope. What is different is the shape: no retainer, delivery in days, the first build in 24 hours, and code you own rather than rent. If that fits how you want to buy software, start with Creatr. If it does not, the tables above still hold - use them to get an honest total from whichever tool you choose.