What 9 AI Customer Support Tools Really Cost at 700 Conversations a Month (2026 Pricing Breakdown)

Every AI customer support vendor's pricing page is designed to make its sticker price look small. Some hide the real cost in a per-resolution fee. Some hide it in a credit system where the same conversation costs 50% more depending on which AI model you happened to pick. Some don't charge for seats at all, which sounds generous until you see what they charge for instead. None of this is dishonest, exactly, it's just that "starting at $19/mo" and "starting at $40/mo" tell you almost nothing about what you'll actually pay once real usage hits.

We built one fixed, realistic scenario, ran it through 9 vendors' own pricing pages, and did the math so you don't have to open nine tabs and a calculator.

Why you can't compare these on sticker price alone

Every tool on this list uses one of three pricing shapes:

Flat or seat-based. You pay for seats and maybe a plan tier, and AI usage is included up to a cap. Predictable, but the cap can be low.

Per-resolution or per-outcome. You pay per seat plus a fee for every conversation the AI actually resolves. This scales with how well the AI works, which sounds fair until you realize a busy month costs proportionally more, with no ceiling unless you buy one.

Credit-based. You pay for a pool of credits, and each AI-generated response consumes credits at a rate that depends on which underlying model answered it. This is the least predictable of the three because your bill changes if you switch models, even with identical conversation volume.

Vendors pick whichever shape makes their pricing page look best. A per-resolution tool can advertise a $19/seat headline because the real cost is in a line item three sections down. A credit-based tool can advertise "50 free credits" because it doesn't say a single complex response might cost 5 or 6 of them.

The scenario

5 support seats, 700 AI-handled conversations a month. That's a realistic mid-market ecommerce support load, not an enterprise scenario and not a hobby store. For every vendor, we used their cheapest plan that can actually cover this volume, not their most-promoted tier.

The gap between the cheapest and most expensive tool here, at identical usage, is over $1,100 a month. That's not a rounding difference in plan tiers, it's the difference between a pricing model that scales with your business and one that scales against you.

The credit trap: Chatbase

Chatbase doesn't charge per conversation. It charges per AI-generated response, and the credit cost of that response depends entirely on which model answered it. Chatbase's own published rate card runs from 1 credit on economy models up to 6 credits on its most capable reasoning models, with the models most people would actually pick for ecommerce support, GPT-5.2 or Gemini 3.5 Flash, sitting at 2 credits per response.

A single support conversation is rarely one exchange. An order-status question that requires a lookup, a clarifying follow-up, and a close typically runs 3 to 4 AI responses. At 700 conversations a month with 4 responses each on a 2-credit model, that's 5,600 credits, landing you on the Standard plan plus extra seats plus overage credits for $264/month.

Switch to a 3-credit model like Claude Sonnet for better answers, same volume, same conversation shape, and the credit requirement jumps to 8,400, pushing the bill to roughly $376. Same usage. Same store. Same number of customers helped. A 42% higher bill purely from a model dropdown. That's the credit trap: the plan you buy tells you your credit allowance, not your actual cost, because the cost per credit-consuming event isn't fixed.

The per-resolution trap: Intercom, Gorgias, Zendesk

Three of the nine tools charge a per-seat price that looks competitive, then add a separate fee for every AI-resolved conversation on top.

Intercom's Fin AI Agent costs $0.99 per resolution, regardless of which Intercom plan you're on. At 700 conversations, that's $693 a month in resolution fees alone, before you've paid a cent for seats.

Gorgias doesn't charge per seat at all, "never priced per agent" is Gorgias's own positioning, so it looks like the cheapest option in the room at a glance. Instead it charges per ticket and per automated interaction once you exceed your plan's included quota. At 700 AI conversations, most plans' included automated-interaction allowance is nowhere close, so the overage fee (around $1.50 each past the cap) does the same job a per-seat price would have, just further down the pricing page.

Zendesk bundles AI Agents into every Suite and Support plan, then charges $1.50 to $2.00 per automated resolution depending on whether you commit to volume upfront. At 700 resolutions, that's $1,050 a month in AI fees on top of five agent seats.

The shared pattern: the seat price you see first is a small fraction of what you'll actually pay once the AI is doing real work. The busier your support gets and the better the AI performs, the more it costs, with no natural ceiling unless the vendor offers one.

What stays flat as you scale

Four tools in this comparison price on a flat or bundled basis, where AI usage doesn't carry its own per-unit fee once you're on a plan that covers your volume.

Molin AI scales by seat count and a monthly conversation cap rather than a resolution or credit fee, so a merchant only has to forecast one number, not three.

Re:amaze bundles its AI agent into every seat-priced tier starting at $26.10/mo, no separate metering.

ZipChat meters "AI replies" rather than seats, with unlimited team members on every plan, so adding headcount doesn't change your bill.

Rep AI meters monthly website sessions rather than seats or conversations, and seats are unlimited across every tier, though its Support and Sales products are priced and sold separately unless you take the Concierge bundle.

These four land within about $70 of each other in our scenario, a genuinely tight cluster, while the per-resolution and credit-based tools spread out from 1.4x to 6.8x the cost of the cheapest option for identical usage.

What happens if your volume doubles

Run the same scenario at 1,400 AI conversations a month instead of 700, and the gap gets worse, not better, for the metered tools. A flat or bundled-pricing vendor either absorbs the extra volume inside a higher plan tier at a predictable step, or requires one clean upgrade. A per-resolution vendor's bill scales close to linearly with volume, since the resolution fee doesn't get cheaper as you use more of it, only seat and base-plan costs are fixed. In practice, that means the tools already 4 to 7 times more expensive at 700 conversations tend to stay roughly that many times more expensive at 1,400, because the multiplier is baked into the fee structure, not the plan tier.

How to estimate your own number before you request a demo

Before you take a call with any vendor on this list, work out three numbers for your own store: how many support seats you actually staff, your realistic monthly AI-handled conversation volume (check your current helpdesk data, not a guess), and, if you're evaluating a credit-based tool, roughly how many AI responses a typical conversation in your store generates, since that number, multiplied by the model's credit rate, is your real usage unit. Bring those three numbers into the sales call and ask the vendor to price your actual scenario, not their example. The pricing page rarely volunteers the math this article just did for you.

The verdict

At realistic mid-market ecommerce volume, flat and bundled-pricing tools, Molin AI, Re:amaze, ZipChat, and Rep AI, cluster closely together and stay predictable as you scale. Chatbase is competitive today but only if you fix your model choice, since switching models changes your bill without changing your usage. Intercom, Gorgias, and Zendesk are viable if you have deep enough pockets and predictable-enough volume to model the per-resolution cost in advance, but at unpredictable or growing conversation volume, they're the tools most likely to deliver a bill that doesn't match what you budgeted.