EzyConn vs Chatling: Pricing, Credits and Seats

This is one comparison, priced the way a small team actually pays: three people, one month of conversations, every add-on counted. If you read nothing else, read the worked month, because the entry prices of these two tools are the same number and almost nothing else about the bill is.

What Chatling is and who it is built for

Chatling is a no-code platform for building AI agents that answer customers from your own content. You point it at your website, documents and help centre, choose an AI model, and put the agent on your site, WhatsApp, Instagram, Messenger or Telegram. When the AI should step back, a teammate takes the conversation in Chatling’s live chat inbox.

It is aimed at small teams that want more than a question-answering widget. Its agents run actions in the middle of a conversation: show a lead form, call an outside service over HTTP, add a row to Google Sheets, create a HubSpot contact or a Zendesk ticket, or book a time through Google Calendar, Cal.com or Calendly (Chatling docs, actions). A visual workflow builder, added on 16 September 2026, runs multi-step jobs when a conversation, contact or action event happens (Chatling changelog).

How Chatling charges: plans, credits and add-ons

Chatling sells four plans. Paying yearly costs ten months’ price: $250 instead of $300 for Starter. These are the numbers on its pricing page, checked on 3 November 2026.

The plan price is where the bill starts. What decides the rest is the AI credit, and Chatling is open about how it works: “AI credits are consumed when the chatbot generates an AI response,” and the number used per response depends on the model. Its FAQ gives a credit price for every model it offers. A sample:

A few more things matter for a small team. Seats are counted: Starter has 2, Growth 5 and Scale 10, and an extra seat is $10 a month. AI agents are counted too, at $3 a month for each one past the plan’s number. And when the credits run out, Chatling’s help centre says visitors can still send messages but see an “Insufficient AI credits” error until you buy the Extra AI Credits add-on or upgrade. You can set alerts at 50%, 75%, 90% or 100% of usage (Chatling docs).

How EzyConn charges, and why the units differ

EzyConn is priced per workspace. Each plan includes a number of people and a monthly allowance of messages and AI credits, and the AI agent is part of every plan, Free included.

• Free: free, no card, no expiry date. 2 people, 500 messages and 1,000 AI credits a month.
• Starter: $25 a month (₹2,499 at checkout). 4 people, 5,000 messages and 10,000 AI credits a month.
• Professional: $95 a month (₹6,499 at checkout). 11 people, 25,000 messages and 50,000 AI credits a month.

Paid plans start with one month free, and a year of Starter billed yearly is $240. Checkout bills in Indian rupees, at the amounts in brackets.

So the headline numbers look alike and measure different things. Chatling counts AI credits, and one reply can cost half a credit or twenty-five. EzyConn counts messages and AI credits a month, with the number of people set by the plan. So the fair comparison is a real month, priced line by line. Our guide to AI support pricing models explains the wider set of meters: credits, messages, seats and resolutions.

A worked month: a three-person tea shop

Fern & Kettle is a loose-leaf tea shop we made up for this example. It sells online, ships across Europe, and three people answer customers: the owner and two part-timers. A normal month brings about 700 conversations on the website chat and WhatsApp. Where is my order? Does this ship to Norway? Which green tea has the least caffeine? Can I change the delivery address?

One assumption drives the arithmetic: the AI writes three replies in an average conversation, so 700 × 3 = 2,100 AI replies a month. Your own ratio will differ, and last month’s chat logs will tell you what it is.

On Chatling

Three people need a third seat on Starter ($10 a month) or Chatling’s Growth plan, which has five. WhatsApp is on Starter and above. Then the credits, which depend on the model. At 5 credits a reply, the rate for GPT-6.1 Sol and Claude Sonnet 5.5, the month needs 2,100 × 5 = 10,500 credits. Starter includes 1,750, so the shop buys 9 packs of 1,000 at $10. That is $25 for the plan, $10 for the seat and $90 for the credits: $125. Growth gets to the same place: $75 plus 5 packs, also $125.

Move to a 1-credit model such as GPT-6 Luna or Claude Haiku 5.5 and the month needs 2,100 credits: Starter, one extra seat and one pack, $45. The table runs the same month at four model prices.

On EzyConn

Three people fit inside Starter, which covers 4 people. Its 5,000 messages a month leave room for about 7 per conversation at 700 conversations, enough for three questions and three answers, and the plan adds 10,000 AI credits. The month costs $25 a month (₹2,499 at checkout), and the first month of a paid plan is free.

The phone line starts on Starter. The AI answers inbound calls on the shop’s own Twilio number with its greeting and one of six English voices, answers from the same content as the chat, and saves each call as a conversation in the inbox. The phone line page shows how it is set up.

What the numbers say

On everyday models the shop’s month comes to $35 to $125 on Chatling, and $475 if it runs GPT-6 Astra, the dearest model on the list, against $25 on EzyConn Starter.

The bigger lesson is about predictability. On Chatling the model setting is also a price setting: moving from a 1-credit model to a 5-credit one multiplies the AI cost by five. That is real control, and it means somebody has to keep an eye on it. On EzyConn the plan sets the people and the monthly messages, so the number to watch is conversations, which you already count.

Feature by feature

How the two compare on what a small team uses every day. Chatling’s column comes from its pricing page, docs and changelog on 3 November 2026; EzyConn’s is read from the product.

Where Chatling is strong

Model choice, with the price on the label. Few tools at this price let you pick the model this freely. Chatling lists models from OpenAI, Anthropic, Google, Mistral, xAI, DeepSeek and Z.ai, each with a published credit price, and it adds new ones fast: eight on 26 September 2026 and four more on 16 October. A shop can run a cheap, quick model for delivery questions and a stronger one for a technical product, and see exactly what each choice costs.

Actions and workflows. Its actions go further than most no-code builders. Since 24 October an HTTP Request action can chain several API calls in a row and pull values out of lists, and the workflow builder can send emails, update contacts, assign conversations and sync data to HubSpot, Zendesk, Google Sheets or Airtable when an event fires.

Live chat on every plan. The hand-off is set up in plain language: you describe when the AI should hand over and what it should collect first, such as a name or an order number, and the AI can set a priority and labels as it does (Chatling docs, handoff). The teammate gets an AI summary before replying. October added teammate presence, conversation labels, @mentions in private notes, and rules that stop the AI replying to messages that match words or patterns you choose.

Knowledge and channels. The knowledge base takes websites, sitemaps, URL lists, PDF, DOCX and TXT files, text, FAQs, and articles imported from Zoho, Zendesk and Notion (Chatling docs, data sources), and re-syncs on a schedule from Starter. On WhatsApp it supports Coexistence, so a shop can keep using the number it already has in the WhatsApp Business app (Chatling docs, WhatsApp).

Analytics and a refund window. Topic and sentiment analysis arrived on 2 November 2026 for plans with Advanced analytics, which means Growth and Scale. And the first purchase comes with a 7-day money-back guarantee.

Two situations worth testing on either tool

A sale weekend doubles the chats

Say Fern & Kettle runs a 20% off weekend and conversations double for three days. On Chatling the credit count climbs at the model’s rate. The alerts give warning and a top-up is bought from the add-ons page in billing, so the practical step is to set the alert and decide in advance who acts on it.

On EzyConn, the reports show the weekend afterwards: conversations handled by the AI, escalated and led by a person, first reply times, and why questions went unanswered, so the owner can see which pages to improve before the next sale. When a teammate answers a question that was new to the AI, that reply waits as a draft answer to approve, so the gap closes once.

A customer wants a person

A parcel shows as delivered and is not at the door. The AI should not guess; it should get a person. On Chatling the handoff action fires on the conditions you wrote, collects the order number, flags the chat as “Needs agent intervention” and notifies the team with a summary.

On EzyConn the AI offers a person. Once the customer accepts, they see “Thanks, I’m connecting you to a support specialist now. Please hold for a moment.” A teammate is assigned (by hand, round-robin, whoever is least busy or whoever was last active) and notified with the whole conversation, and the AI pauses. If nobody is free, the customer reads “All our agents are currently busy. We’ll notify you shortly.” When the teammate is done, one click hands the chat back to the AI.

Teammates answer from the shared inbox or from a Slack thread that replies to the customer, and the portal works on phones, which suits a shop where nobody sits at a desk all day. Our guide to chatbot hand-overs covers what a good one looks like on any tool.

Which one fits

Where EzyConn fits

EzyConn is an AI agent for customer conversations, made by Omegaswift. It answers on the website chat, WhatsApp, Telegram, email and inbound phone calls, from your own content: it scans your website and you keep the pages you want, it reads your files (PDF, Word, plain text, Markdown and CSV), it uses text you write, and it uses the exact questions and answers you set before anything else. Each answer shows its source, it answers in multiple languages, and it runs on GPT out of the box or on your own OpenAI, Anthropic or Google key.

For a shop, the useful parts sit around the answer. A WooCommerce store can connect its catalogue, so the AI answers from live products, prices and stock (see our WooCommerce guide). The pre-chat form can ask for a name, email, phone number, department and consent. Zapier, signed webhooks and Google Analytics 4 connect it to the rest of your tools, and the reports and customer list export to CSV. Choose Answer and hand over, Answer only, or People only for how the AI and your team share the work.

Start on Free with the website chat (the onboarding takes about 3 minutes), ask it the twenty questions your team answers most, and connect WhatsApp when you are ready. Move to Starter when you want more people and messages, bookings in the chat or the phone line. Every limit is on the pricing page, and you can start free today.

EzyConn vs Chatling: common questions

The verdict

Chatling is a well-made AI agent builder with an unusually open pricing model. Every model has a published credit price, live chat comes free on every plan, and its actions and workflows reach into HubSpot, Zendesk, Google Sheets and your own services. Teams that like tuning a model against its cost will get a lot from it.

For a small shop that wants to know the bill before the month starts, EzyConn is the simpler buy: Starter at $25 covers 4 people and 5,000 messages, adds bookings in the chat and an inbound phone line on your own Twilio number, and hands conversations to a person the customer has agreed to talk to. Put both on the same twenty questions for a week; the answers and the first bill will settle it. More side-by-side comparisons are on our compare page.

Keep reading

• EzyConn compared with other support tools
• EzyConn vs Chatbase
• EzyConn vs SiteGPT
• EzyConn vs Wonderchat
• How much an AI chatbot costs in 2026

Pricing and features for EzyConn and Chatling were checked on each vendor’s published pages on 3 November 2026.