A custom chatbot costs $5,000–$15,000 for a rule-based bot, $20,000–$60,000 for a conversational AI chatbot, $50,000–$100,000+ for a generative AI chatbot, and $70,000–$150,000+ for an enterprise build, plus hosting, AI usage, and 10–15% of the build cost each year in maintenance. If you only need to automate customer support, an off-the-shelf plan such as ChatBot.com at $19–$79 per user per month is far cheaper than building. A custom build pays off when the chatbot is your product, or has to act on your own data and systems.
How we sourced this. We're a product studio that designs and builds AI products for founders, including Mizu AI, an automation builder where users describe a workflow in plain English (shipped in 6 weeks), and Mrsam AI, a website builder with an AI assistant that writes Arabic copy (10 weeks, followed by a $500K seed round). For the numbers, we read three development shops' published cost guides line by line, one market report, and a live software pricing page, all rechecked on September 26, 2026. Where the guides disagree, we show both figures and explain why. These are published ranges, not quotes: your price depends on scope.
This guide covers the full picture: cost by chatbot type, where the money goes inside a build, cost by industry, timelines, monthly running costs, maintenance, buy vs build, and how to get an accurate quote.
How much does each type of chatbot cost?
Prices rechecked on September 26, 2026.
| Chatbot type | What it does | Typical build cost |
|---|---|---|
| Rule-based | Follows scripted flows and buttons; no language understanding | $5,000–$15,000 |
| Conversational AI (NLP) | Understands intent and context in free-text questions | $20,000–$60,000 |
| Generative AI | Writes its own answers with a large language model, grounded in your data | $50,000–$100,000+ |
| Voice bot | Adds speech-to-text and text-to-speech | $30,000–$80,000 |
| Multilingual bot | Trained and tested across several languages | $40,000+ |
| Enterprise | Generative AI, omnichannel, custom model training, high-security compliance | $70,000–$150,000+ |
The type ranges come from Dolphin Web Solution, which puts a typical custom AI chatbot at $20,000–$80,000 overall.
Vrinsofts lands in the same place with slightly different cut-offs: $10,000–$15,000 for a basic rule-based bot, $25,000–$50,000 for an advanced AI chatbot, and $50,000–$150,000+ for an enterprise custom build. The demand behind these prices keeps growing:
Grand View Research sizes the chatbot market at $11.8 billion in 2026, rising to $41.2 billion by 2033 (19.6% a year).
What does chatbot cost by company size?
Vrinsofts also breaks typical budgets down by the size of the buyer, which is often a better starting point than the technology:
- Startup: $5,000–$20,000
- Small business: $10,000–$35,000
- Mid-sized business: $25,000–$75,000
- Enterprise: $50,000–$150,000+
Why do chatbot cost guides disagree by 3–4x?
Because they're pricing different buyers. Appinventiv puts a basic rule-based bot at $40,000–$80,000. Dolphin puts the same tier at $5,000–$15,000, roughly a quarter of that.
That isn't a data error. Appinventiv's guide is written for enterprise buyers comparing vendors for compliance-heavy, multi-region rollouts, where even a "basic" bot carries security reviews, integrations, and project management. Dolphin and Vrinsofts write for small and mid-sized businesses buying their first chatbot. If a quote feels wildly off from an article you read, check which buyer the article was written for before assuming the vendor is overcharging.
Where does the money go inside a chatbot build?
A chatbot build has six phases, and the chat window everyone pictures is one of the smaller ones. Dolphin's phase ranges:
| Phase | What happens | Cost range |
|---|---|---|
| Planning and design | Scope, use cases, conversation flows | $2,000–$8,000 |
| AI model and NLP | Choosing, configuring, and training the model; LLM licensing | $5,000–$30,000 |
| Backend and integrations | Connecting to databases, CRMs, and third-party APIs | $5,000–$25,000 |
| Frontend | The chat interface on web, mobile, or messaging apps | $3,000–$15,000 |
| Testing and QA | Bugs, conversation logic, security | $2,000–$10,000 |
| Deployment | Cloud setup and launch on each platform | $1,000–$5,000 |
Vrinsofts shows the same thing as a worked budget. Its sample $40,000 AI chatbot splits like this:
- AI model configuration and development: $10,000
- Business system integrations: $8,000
- Knowledge base and RAG (retrieval from your documents): $6,000
- UI/UX design: $4,000
- Testing and AI optimization: $4,000
- Planning and solution architecture: $3,000
- Security and compliance: $3,000
- Deployment and initial support: $2,000
Add up the AI, knowledge base, and integrations lines: $10,000 + $6,000 + $8,000 = $24,000, or 60% of the budget. In our view, that holds for AI products generally: the intelligence and the connections to your systems are the expensive part, not the interface.
What drives the cost of a custom chatbot up?
- The AI approach. Vrinsofts estimates that model choice and intelligence level alone add $5,000–$30,000. Scripted flows are cheap; a model that understands questions costs more; a generative model grounded in your documents costs the most, because retrieval, testing, and guardrails all have to be built.
- Training on your knowledge. Basic dataset fine-tuning runs $2,000–$8,000; extensive AI training and knowledge integration runs $10,000–$40,000+ (Vrinsofts).
- Integrations. A single integration costs $1,000–$5,000; multiple complex integrations cost $10,000–$25,000+ (Vrinsofts). Every system the bot reads from or writes to has its own edge cases.
- Compliance and security. HIPAA, GDPR, PCI-DSS, role-based access, and audit trails add $5,000–$20,000+ (Vrinsofts).
- Voice and languages. Voice bots run $30,000–$80,000 and multilingual bots $40,000+ (Dolphin), because every flow has to work in speech and in each language.
- Channels. Website, WhatsApp, Slack, and in-app chat each have their own limits and approval rules, so each channel is extra build and test work.
How much does a chatbot cost by industry?
Industry changes the price mostly through compliance and integrations. The two guides give these ranges:
| Industry | Vrinsofts | Dolphin | Why it costs more or less |
|---|---|---|---|
| Ecommerce and retail | $8,000–$35,000 | $15,000–$50,000 | Order tracking, product recommendations, payments |
| Healthcare | $20,000–$60,000+ | $40,000–$100,000+ | HIPAA compliance, appointment booking |
| Banking and finance | $25,000–$80,000+ | $50,000–$120,000 | Secure transactions, fraud checks, regulation |
| Education | $8,000–$30,000 | $20,000–$60,000 | Student support, LMS integration |
| SaaS and technology | $15,000–$60,000+ | not listed | Onboarding, technical support, product guidance |
| Real estate | $12,000–$40,000 | not listed | Lead qualification, CRM, scheduling |
How long does it take to build a chatbot?
Dolphin's timelines by complexity:
- Prototype or MVP: 2–4 weeks
- Simple bot: 4–8 weeks
- Mid-complexity bot: 2–4 months
- Enterprise bot: 4–9 months
Time maps closely to cost, because most of the bill is people. A useful sanity check on any quote: divide the price by the weeks, and ask what team is working for that weekly amount.
What does a chatbot cost to run each month?
The build is only the first bill. Vrinsofts lists these monthly running costs:
| Running cost | Per month |
|---|---|
| Cloud hosting | $50–$2,000+ |
| AI API usage | $100–$10,000+ |
| Maintenance and support | $500–$5,000+ |
| Analytics and monitoring | $100–$1,000+ |
| Security updates | $200–$2,000+ |
At the low end that's $50 + $100 + $500 + $100 + $200 = $950 a month, or $11,400 a year, for a small deployment. AI API usage is the line that moves most, because generative AI bots pay per message, so it grows with every conversation. Ask any vendor to estimate it at your expected volume before you sign.
For yearly budgeting, Appinventiv's rule of thumb is 10–15% of the build cost per year in maintenance: $2,000–$3,000 on a $20,000 build, $5,000–$7,500 on a $50,000 build.
Should you buy a chatbot or build a custom one?
For most support and lead-capture use cases, buy. ChatBot.com (now branded Text by ChatBot) charges $19 per user per month on Essential and $79 per user per month on Growth, billed yearly, with a custom Enterprise plan. Here's that against a custom build over five years, using the build and maintenance figures above:
| Option | Year 1 | Each year after | 5-year total |
|---|---|---|---|
| Buy: ChatBot.com Growth, 3 seats | $79 × 3 × 12 = $2,844 | $2,844 | $2,844 × 5 = $14,220 |
| Build: conversational AI chatbot | $20,000 | 10–15% × $20,000 = $2,000–$3,000 | $20,000 + (4 × $2,000–$3,000) = $28,000–$32,000 |
| Build: generative AI chatbot | $50,000 | 10–15% × $50,000 = $5,000–$7,500 | $50,000 + (4 × $5,000–$7,500) = $70,000–$80,000 |
The build rows exclude hosting and AI usage, so the real gap is wider. On price alone, a custom build never catches up with a three-seat subscription. The case for building is never "it's cheaper". It's one of these:
- The chatbot is your product. If customers pay for the AI experience, you need to own it.
- It has to act on your own systems, not just answer questions: booking, refunds, account changes.
- Your data can't leave your stack, for compliance or competitive reasons.
- Per-seat pricing breaks at your scale, for example hundreds of agents or users.
Can you really build a chatbot for $500?
Yes, if "chatbot" means a no-code bot on a template for a local business. Freelancers openly teach this as a service:
"How to build an AI chatbot for a local business and charge $500+ for it (step-by-step, no code, free tools)"
r/WTFisAI on Reddit
That's a real option for FAQs and bookings on a small site. It's not the same product as a custom AI chatbot that works inside your own software. For that, practitioners quote figures in line with the development shops:
"a basic single-task agent (RAG chatbot, FAQ assistant) can be done for $10K–$30K."
r/AI_Agents on Reddit
That $10,000–$30,000 range for a single-task AI bot overlaps the lower half of the $20,000–$60,000 conversational AI tier. If your chatbot is closer to an agent that takes actions on its own, our guide to AI agent development cost goes deeper.
How can you lower the cost of a custom chatbot?
- Launch one job first. Pick the single most common question or task and ship that. Vrinsofts recommends the same phased approach: launch core functionality, then expand.
- Use a hosted model before training your own. Grounding an existing model in your documents (RAG) is usually far cheaper than custom training, and custom training sits at the top of every cost range above.
- Start with one channel and one language. Voice and multilingual support are the biggest single add-ons in the tables above.
- Integrate read-only first. Letting the bot look things up is much cheaper than letting it change data, which needs permissions, confirmations, and audit trails.
- Build it into your product, not beside it. If you're building an MVP anyway, an AI assistant inside it shares the design, auth, database, and hosting you're already paying for.
When is the chatbot part of your product?
This is where most founders we talk to actually are. They don't need a support bot for an existing business; they're building a product where conversation with AI is a core feature. In that case, pricing it as a standalone chatbot project overstates the cost, because the chat is one feature sharing the product's design, database, auth, and hosting.
That's the work we do at DreamLaunch. Our Launch Sprint is a fixed $6,500 for a designed, built, and deployed MVP, averaging 4–5 weeks: Figma-first UI, a Next.js or Flutter build, Supabase and Stripe, analytics, and deployment. AI features are part of that scope. The AI products we've shipped this way include:
- Mizu AI: users describe an automation in plain English and the AI builds it on a visual canvas, with five real integrations and billing. Live in 6 weeks.
- Mosaic: an AI app that generates, illustrates, and narrates children's stories, in both app stores in 7 weeks.
- Mrsam AI: a website builder whose AI assistant writes Arabic copy, live in 10 weeks; the founder closed a $500K seed round shortly after.
Our take: If you need a support bot for an existing business, buy one; don't pay a studio, including us. If AI conversation is part of the product you're building, price it as part of the product. That's usually far below a standalone chatbot quote. We're not the right fit for enterprise voice bots, multilingual contact centers, or HIPAA-heavy deployments; that's specialist work, and the firms in our AI chatbot development companies roundup are better placed.
How do you get an accurate chatbot quote?
- Write down the top 20 questions or tasks the bot must handle. Scope is the biggest price driver, and vendors can't price "a chatbot".
- List every system it touches, and whether it reads or writes. Each integration should appear as a line item.
- Decide channels and languages up front. Adding voice or a second language later costs more than planning for it.
- Ask for the monthly running cost and the maintenance number in writing, not just the build fee, including AI usage at your expected volume.
- Ask to see a live product they built, not a demo video.
We cover vendor vetting in detail in our chatbot development services guide. For the broader picture of AI build costs, see AI app development cost and LLM integration services.
What's the short answer?
- Build cost: $5,000–$15,000 rule-based, $20,000–$60,000 conversational AI, $50,000–$100,000+ generative AI, $70,000–$150,000+ enterprise.
- Where it goes: about 60% to AI, knowledge base, and integrations in a typical $40,000 build.
- Timeline: 2–4 weeks for a prototype, 4–8 weeks for a simple bot, 4–9 months for enterprise.
- Running cost: from about $950 a month for a small deployment (Vrinsofts), or 10–15% of the build per year for maintenance alone (Appinventiv).
- Buy vs build: buy for support; build when the chatbot is your product or acts on your systems.
- Building a product with AI chat inside: price it as a product feature, not a standalone chatbot.
