Cheap AI chatbot in India: what you actually pay, and where markups hide

Updated 2026-09-19 · 5 min read · By the Convo360 team

The four layers of a chatbot bill, and where markups hide

"Cheap" only means something once you see the whole bill, not just the subscription line. In India, an AI-powered WhatsApp or voice chatbot typically has up to four separate charges:

• Platform fee: what you pay the chatbot software provider for the flow builder, AI agent, CRM and inbox.
• WhatsApp message charges: Meta bills per delivered message, by category, see our WhatsApp Business API pricing guide.
• AI/LLM token cost: what OpenAI, Anthropic or Google charge for each AI-generated reply, billed by the AI provider directly if you use your own key.
• Telephony minutes: if you run AI voice calls, Exotel, Plivo, Twilio or your SIP provider bills per minute.

A vendor advertising "₹499/month unlimited" is either capping volume hard, or absorbing usage costs by marking up one of the other three layers invisibly. The most common hiding spots: a per-message fee on top of Meta's own per-message charge, a per-AI-reply fee layered on top of the LLM provider's token cost, or a per-minute surcharge on voice calls above what the telephony provider actually bills. None of these show up clearly on a pricing page, they show up on your invoice after volume grows. Convo360 avoids this by running BYOK: you connect your own AI provider key and your own WhatsApp number or telephony account, and Convo360 adds zero markup on messages, minutes or AI tokens. You pay Meta, the AI provider and the telephony provider directly, at their published rates. Read more in our BYOK explainer and per-message markup vs flat fee.

Two pricing models side by side

Neither model is inherently wrong, but only one lets you calculate your bill in advance. Ask for both the platform's fee structure and a sample invoice before you sign a contract.

A worked monthly example

Take a small retailer on the Starter plan (₹999/month, ex-GST) handling roughly 800 WhatsApp conversations a month, mostly customer-initiated (replies inside the 24-hour window are free until 30 September 2026; from 1 October 2026 Meta charges them at the utility rate after 1,000 free service messages per number per month) plus a handful of utility templates for order updates.

For a business this size, the platform fee is often the largest predictable line item, which is exactly why the pricing model, not just the number, decides whether a chatbot stays cheap as you grow. Compare this against a business on the Pro plan (₹2,999/month) running AI voice calls too: the platform fee rises, but the same BYOK principle applies, no markup on the minutes or tokens layered on top.

Checking a platform's real cost before you sign up

1. Ask directly: "do you mark up WhatsApp conversations, AI tokens or call minutes?"
2. Request a sample invoice or breakdown, not just the plan price.
3. Estimate your monthly conversation volume and multiply it against both the platform's stated model and Meta's public per-message rates.
4. Start on the free trial and run one real week of traffic before committing to a paid plan.

On Convo360, the 14-day free trial unlocks every feature so you can measure your actual usage before choosing between Starter, Pro or Business. See our guide to what to test in a free trial.

Building the flow so cost stays predictable

How you build the flow itself affects your bill. A Condition block that routes simple questions ("store hours", "track order") to a fixed Send Message or Buttons response, and reserves the AI Reply node only for genuinely open questions, cuts your AI token usage significantly compared to sending every message through the AI. Use Set Variable to remember what a customer already told you, so the bot doesn't re-ask (and re-spend tokens on) the same question twice in one conversation.

This same discipline, using a guided (no-AI) bot for the predictable 80% and AI for the unpredictable 20%, is the single biggest lever most Indian SMEs have over their monthly AI spend. See AI bot vs rule-based chatbot for the trade-offs and what is a guided bot for how to set one up without any AI key at all.

A shorter, well-scoped system prompt also reduces token cost per reply compared to a long, unfocused one, see how to write a system prompt for a business bot for practical guidance on keeping prompts tight without losing accuracy.

When a higher plan is actually cheaper

Once you need AI voice calls or the REST API, jumping to Pro (₹2,999/month) or Business (₹7,999/month) is usually cheaper than staying on a lower plan and paying per-integration add-on fees elsewhere, because these plans bundle all integrations and unlimited workspaces rather than metering them. Compare against your actual usage pattern, not the sticker price alone; see our pricing guide and OpenAI API cost estimate for the full worked examples at different volumes. Yearly billing also shaves roughly 10% off any plan (Starter ₹10,789, Pro ₹32,389, Business ₹86,389 per year, ex-GST) if you're confident in the plan you need.

Mistakes that make a 'cheap' chatbot expensive

• Judging cost from the homepage price alone: always ask what happens to your bill at 5x today's volume before signing an annual plan.
• Routing every message through AI: this multiplies token cost for questions a simple button menu could have answered for free.
• Not tracking your own AI provider's usage dashboard: on BYOK, the cost sits in your OpenAI/Anthropic/Gemini account, check it monthly so a runaway flow doesn't surprise you.
• Ignoring GST: all Convo360 prices are quoted ex-GST; budget for the additional 18% and expect an automatic GST tax invoice.
• Skipping the free trial's real usage test: a 14-day trial with your actual customer volume is the only reliable way to estimate your real monthly cost before committing.

Example conversation

Frequently asked questions

Related reading

Available across India — see WhatsApp & AI calling automation by state and city.