We Compared The Pricing of 114 No-code Tools: Here's What We Found

Last updated: May 25, 2026

No-code tools have become one of the most crowded and commercially important corners of B2B software, because they promise the same thing to founders, operators, agencies, and internal teams: build more without waiting on engineers. We studied the public pricing pages of 114 comparable no-code tools ourselves, decomposed every tool into the same pricing dimensions, and ran the aggregates to understand what actually works in pricing in this category and what to copy if you are building in this space.

The dataset spans automation tools, AI app and agent builders, database builders, backend and data platforms, website and front-end builders, app builders, chatbot and LLM tools, portals and internal tools, and BPM, field, and process platforms. For each no-code tool, we captured the pricing model, cheapest monthly paid plan, most expensive public monthly plan, free plan availability, free trial availability, credit card requirement, monthly billing option, annual discount, enterprise path, free-plan limitations, cheapest-plan unlocks, and upgrade triggers.

The comparison table

We built this dataset from scratch by visiting the public pricing page of each no-code tool and reducing every product into the same comparable pricing profile. For each tool, we captured its workflow, pricing model, cheapest monthly paid plan, most expensive monthly plan, free plan, trial mechanics, monthly billing availability, annual discount, enterprise pricing, free-plan limits, paid unlocks, and upgrade triggers. The full comparison table is below.

Questions on pricing no-code tools

These are the questions that matter if you are trying to price a no-code tool, choose a free-access model, design an upgrade path, or decide what to gate across a plan ladder.

What should be the pricing model for a no-code tool?

The pricing model for a no-code tool should be a recurring subscription with usage, seat, or resource-based expansion layered on top, because 82% of tools use usage volume as an upgrade trigger and 61% use users or seats.

No-code tools do not behave like simple software licenses. They create ongoing hosting, data, workflow, AI, support, collaboration, and infrastructure costs, which makes recurring pricing the natural base.

The strongest pattern is hybrid pricing. Automation tools meter tasks, credits, runs, and scenarios; app builders meter users, records, storage, and publishing; AI app builders meter credits, tokens, or messages.

The entry plan should be simple enough to buy without sales, but the plan ladder should clearly expand with real usage. This is why higher usage appears in 73% of cheapest paid-plan unlocks.

Seats also matter because no-code tools often spread from one maker to a whole team. Users, seats, or team scale trigger upgrades in 61% of tools, especially in portals and internal tools where value grows with stakeholder count.

Enterprise should exist even if the product is self-serve first. 81.6% of tools include enterprise or custom pricing, which means mature no-code buyers expect a path for security, governance, support, and procurement.

The practical structure is freemium or trial at the bottom, one accessible paid plan, one or two scale plans, and an enterprise path above that. The pricing model should make the buyer feel they are paying for usage becoming real, not for permission to test the product.

What price should be charged for a no-code tool?

The price charged for a no-code tool should usually anchor around a $25 median entry plan and a $139 median top public plan, because those are the category's central benchmarks across 114 tools.

The full distribution is wide, so the median matters more than the average. The average cheapest plan is $45 after outlier removal, but that figure is pulled upward by heavier app, database, and enterprise workflow platforms.

Entry pricing below $79 is the market norm. 73.7% of no-code tools start below $79, which makes that threshold a clear psychological ceiling for broad-market adoption.

A first paid plan above $99 is a deliberate positioning choice. Only 13.2% of tools start at $99 or above, so pricing there signals enterprise value, heavy implementation, or unusually high included capacity.

Top public pricing has much more headroom. 57.5% of tools publish a top public plan above $99, 51.3% go above $149, and 39.8% go above $199.

Workflow family changes the correct price band. Automation and AI app builders cluster around $20 median entry pricing, while portals and internal tools reach a $44.50 median entry and app builders reach $35.

The safest reading is that no-code tools should start cheap enough for an individual builder or small team to try seriously, then use public tiers to monetize production usage, collaboration, governance, and scale.

Are people willing to pay a lot for a no-code tool?

Yes, people are willing to pay a lot for a no-code tool, because 57.5% of tools publish a top plan above $99 and 39.8% publish a top plan above $199.

The public ceiling is much higher than the entry point suggests. The median cheapest plan is $25, but the median most expensive public plan is $139, which creates a typical ladder of roughly 5.6 times from entry to top tier.

The average top public plan is $285 after excluding major infrastructure and enterprise outliers. That number should not be read as typical, but it confirms that expensive public plans are common enough to shape the market.

Some workflow families have especially high top-end pricing. Chatbots and LLM apps show a $199 median top public plan, and portals and internal tools also show a $199 median top public plan.

App builders have a $194.50 median top public plan, which reflects how much monetization happens around publishing, production deployment, users, storage, and app scale. Buyers pay more when the tool becomes part of a live business process.

Website and front-end tools show a lower $74 median top public plan, but a much higher average because a few tools expose serious enterprise-grade pricing. That is a useful reminder that averages can hide very different pricing shapes.

Enterprise pricing makes the real ceiling even higher. 81.6% of no-code tools include a custom or enterprise path, so the visible top public plan is often only the upper self-serve boundary.

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Should a no-code tool launch with freemium, free trial or both?

A no-code tool should usually launch with freemium first and add a free trial when paid-feature evaluation matters, because 71.9% of no-code tools offer a free plan while 50.0% offer a free trial.

Freemium fits no-code tools because the user needs to build before they believe. A free plan lets the buyer test the editor, data model, workflow builder, publishing flow, or automation logic without a countdown.

Free trials still matter, but they are less dominant than free plans. They work best when the product has premium features that cannot be evaluated inside a restricted free tier.

The safest formal trial length is 14 days. Stated trials range from 7 to 45 days, but the median stated trial length is 14 days and the average is 18.8 days.

Shorter trials fit fast-evaluation products, while 30-day trials appear more often in heavier database, internal-tool, and mobile-app workflows. The more setup a buyer needs, the harder a 7-day window becomes.

Credit-card friction is rare where the requirement is known. Only 10.3% of known free-trial cases require a credit card, which means a card-required trial now reads as a deliberate qualification choice rather than the default.

The strongest launch pattern is a limited free plan that proves the builder experience, plus an optional no-card trial when paid features need to be tested. That gives users time to create something real while still giving the company a conversion path.

What should be the price of the first paid plan of a no-code tool?

The first paid plan of a no-code tool should usually sit between $25 and $79 per month, because the median cheapest plan is $25 and 73.7% of tools start below $79.

The $29 threshold is the impulse-friendly boundary. 52.6% of no-code tools start below $29, so sub-$30 pricing is common enough to feel familiar but not mandatory.

The $79 threshold is the broad-market ceiling. A first plan above $79 pushes the tool out of casual prosumer territory and toward professional-only or team-oriented positioning.

The $99 threshold is a hard repositioning point. 86.8% of tools start below $99, so a first paid plan above that level needs a clear reason such as enterprise workflow value, heavy included usage, or infrastructure cost.

Workflow family should anchor the final decision. Automation tools have a $19.99 median entry plan, AI app and agent builders sit at $20, database builders sit at $17, and backend platforms sit at $19.

Higher-value operational categories can charge more at entry. App builders have a $35 median entry, chatbots and LLM apps have $39, and portals and internal tools reach $44.50.

The practical advice is to start below $79 unless the product is clearly replacing a business-critical workflow. If the first plan is above $79, the page needs to explain the operational value immediately.

What should the cheapest paid plan of a no-code tool include?

The cheapest paid plan of a no-code tool should include higher usage, real publishing or deployment, and enough production capability to remove free-plan friction, because 73% of tools unlock higher usage at the first paid tier.

The cheapest paid plan is usually not where the product becomes advanced. It is where the product becomes usable enough for real work.

Higher usage is the dominant unlock, appearing in 83 tools. That includes more tasks, credits, runs, rows, records, app users, AI credits, workflows, or storage depending on the workflow.

Custom domain or managed hosting appears in 19% of paid unlocks. This is especially important for websites, portals, and app builders where the output becomes visible to customers or stakeholders.

Integrations and API access also appear in 19% of paid unlocks. That matters because no-code tools become more valuable when they connect to the rest of the buyer's stack.

AI credits or AI features appear in 15% of cheapest-plan unlocks, but they are much more important in AI-native tools. In those products, AI presence is expected and AI volume becomes the monetization boundary.

Team collaboration and roles also appear in 15% of cheapest paid unlocks. Many products still reserve serious team scaling for later tiers, but the first paid plan should remove enough collaboration friction to support small teams.

The free plan should let users build, while the cheapest paid plan should let them publish, run, connect, or scale the thing they built. That is the cleanest upgrade story in no-code tools.

What should trigger upgrades for a no-code tool?

The strongest upgrade trigger for a no-code tool is usage or volume, which appears in 82% of tools, followed by users, seats, or team scale at 61%.

Usage works because it is visible, concrete, and tied to value. Buyers understand when they need more records, runs, tasks, credits, rows, users, executions, or app capacity.

Seat-based expansion is the second major rail. It is especially strong in portals and internal tools, where 83% show user or team upgrade triggers in the dataset.

AI is already a major pricing lever. AI-related usage or features appear in 37% of upgrade triggers, which shows that AI pricing has moved beyond AI-native products into the broader no-code category.

Security and enterprise controls appear in 36% of upgrade triggers. That is nearly as common as AI, which confirms that classic enterprise gates remain highly relevant even in builder-led products.

Support and SLA appear in 31% of upgrade triggers, while integrations, APIs, or data sources appear in 29%. These are strong mid-market levers because they map to organizational dependence.

Workflow-specific triggers matter more than generic feature gates. Automation tools should meter credits or executions, database tools should meter rows and storage, app builders should meter publishing and users, and AI builders should meter credits or tokens.

The upgrade trigger should be easy to count and painful to outgrow. Vague premium features are weaker than limits that naturally rise with adoption.

Which features should stay for the most expensive plan of a no-code tool?

The most expensive plan of a no-code tool should reserve enterprise controls, advanced support, high-scale usage, integrations, and governance, because 81.6% of tools include an enterprise or custom plan.

The top plan should not merely contain more of everything. It should represent a different buyer state: production dependence, larger teams, security requirements, and internal governance.

Security and enterprise controls appear in 36% of upgrade triggers. In database builders, that pattern is even stronger, with 82% showing security or enterprise-control upgrade triggers.

Support and SLA appear in 31% of upgrade triggers, which makes human help a legitimate premium boundary. Buyers paying for critical internal tools, apps, or automations often need response guarantees.

Integrations, APIs, or data sources appear in 29% of upgrade triggers. These are defensible top-tier gates because advanced integrations usually signal a more embedded and higher-value customer.

Custom domain, branding, or white-label appears in 22% of upgrade triggers. These features matter most where the no-code output is externally visible, such as portals, websites, app builders, and agency workflows.

Environments, branches, and versioning appear in only 8% of upgrade triggers, which makes them scarce premium differentiators. They are especially relevant when the product is closer to software development than simple workflow configuration.

The most expensive plan should protect margin and procurement fit. Keep the top tier for scale, governance, risk reduction, support, and advanced operational control.

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What should appear on the pricing page of a no-code tool to increase conversion?

The pricing page of a no-code tool should show a free plan or trial, clear usage limits, monthly and annual billing, a visible annual discount near 20%, and a credible enterprise path, because 71.9% offer freemium and 81.6% show enterprise pricing.

The page should make the free-access mechanic obvious. In no-code tools, the buyer often needs to build something before pricing feels real, so hiding the free plan or trial creates unnecessary friction.

Usage limits should be stated plainly. Free plans most often limit usage or volume, which appears in 71% of the dataset, so buyers expect to compare caps quickly.

Annual billing should be visible but not forced unless the workflow justifies it. Only 8.3% of known cases lack a monthly option, which means monthly billing is still the self-serve norm.

The annual discount should stay close to the category norm. The median annual discount is 17.3%, and the positive-discount median is 20.0%, so anything around two months free reads naturally.

The page should also explain the first paid unlock in concrete terms. Higher usage, custom domains, integrations, AI credits, publishing, support, and team collaboration are the paid-plan unlocks buyers actually understand.

The enterprise path should be visible even when the price is custom. Since 81.6% of no-code tools show enterprise or custom pricing, hiding it can make the product feel less ready for serious teams.

Some page-merchandising elements are not safely measurable from the captured fields, including most-popular badge rate, promo-code rate, and money-back guarantee rate. That means the strongest conversion advice here should focus on pricing architecture rather than decorative page tactics.

What are other interesting things no-code tools do regarding their pricing model?

Beyond the headline metrics, no-code tools share several quieter pricing patterns around annual billing, free-plan restrictions, workflow-specific caps, and the gap between entry conversion and expansion monetization.

Annual-only pricing is rare in no-code tools. Only 8.3% of known cases lack a monthly option, which means annual-only self-serve pricing should be treated as an exception for heavier enterprise products, plugins, or implementation-heavy workflows.

The annual discount norm is stable but not universal. 62.3% of tools show a positive annual discount, and the positive-discount median is 20%, which makes the discount familiar without making it mandatory.

Free-plan limits vary sharply by workflow. Automation tools mostly limit credits, tasks, runs, or scenarios, while database tools limit records, rows, storage, and users.

App builders monetize launch readiness more directly than other no-code tools. They are more likely to block publishing, production deployment, custom domains, branding removal, or app-store readiness until the buyer pays.

Website and front-end tools rely heavily on branding and domain limitations. In that workflow family, 75% show branding or domain free-plan limitations, far above the dataset average.

Code export and source control are scarce first-tier unlocks. They appear in only 4% of cheapest-plan unlocks, which makes them premium differentiators rather than baseline expectations in no-code tools.

Publishing or deployment appears in only 14% of upgrade triggers overall, but that average hides its importance in app-builder and mobile-builder segments. In those categories, launch is often the monetizable moment.