An AI SDR costs between 600 and 5,000 dollars a month on platform seats, or a few hundred dollars a month if you run agents on your own stack. The gap exists because seat prices are anchored to the human SDR salary the product replaces, not to the underlying model cost.
The three routes to an AI SDR in 2026
There are three distinct ways to buy an AI SDR, and they price very differently.
Platform seat. You pay a monthly or annual fee to a vendor. The vendor owns the model, the workflow, and the data layer. You get a configured product. You do not control the model, the prompts, or what happens when a cheaper capable model ships next quarter.
Agency retainer. You pay an outbound agency to run campaigns on your behalf. Some agencies use AI internally to scale output. You pay labor rates regardless of whether the underlying work is done by a model or a person.
Operator-run agent stack. You keep your CRM, sequencer, and data providers. A model handles research, scoring, drafting, and reply classification. The model becomes a metered line item you can price to the token and swap when something better ships.
What AI SDR platform seats actually charge
Platform pricing is anchored to the human SDR the product replaces, not to the model cost underneath. Every number that follows has to be read with that framing.
11x sits at roughly 5,000 dollars a month, according to the Altitude pricing index. That is 60,000 dollars a year, almost always on an annual contract.
Artisan advertises its Employee plan at 600 dollars a month billed annually, but reported real world entry points run 999 to 2,000 dollars a month, per the 11x guide on Artisan pricing.
AiSDR starts at 900 dollars a month base plus 0.75 dollars per message. At 1,000 messages a month that is about 1,650 dollars. At 10,000 messages it climbs to about 8,400 dollars, per Hack'celeration's AiSDR pricing breakdown.
The full AI SDR tools roundup covers more vendors and what to look for when comparing seats. The short version: most require annual contracts, and the exit cost is high if the product stops working for your segment.
What a human SDR actually costs
Platform seats are not the only comparison point. Buyers usually start from the question "AI SDR or hire a rep?" and the human cost sets the anchor the vendors use to justify their pricing.
A median US SDR base runs about 60,000 dollars, with on target earnings near 85,000 dollars. Fully loaded, an in house SDR costs 90,000 to 100,000 dollars or more per year once you add benefits, tooling, and management time. One itemized analysis puts year one all in near 154,000 dollars, once ramp, recruiting, and turnover are counted, per Alleyoop's true cost breakdown.
Ramp adds 3.2 months to first qualified meeting and up to 5.5 months to full quota, adding 8,000 to 18,000 dollars in productivity lag, per Shortlist's SDR hiring benchmarks. So the realistic year one picture is six figures spent before the rep is consistently producing.
Agency retainers sit between the two options: 2,500 to 8,000 dollars a month, per SalesHive's lead generation pricing breakdown. You get human judgment and copy quality but throughput is capped by headcount, and the margin goes to labor, not software.
For a full decision framework on when to hire and when to run agents, the Kimi K3 vs hiring an SDR comparison walks through the revenue math behind each option.
What running your own agents actually costs
When you run agents on your own stack, the cost breaks into three layers: the model, the infrastructure, and the data.
Model cost. A realistic month of AI SDR work for a small team covers research on 1,000 accounts, scoring, 2,000 drafted touches, and reply classification. On a current capable model, that workload runs roughly 15 million input tokens and 2 million output tokens. At published pricing in the 3 to 10 dollars per million input token range, the model bill lands at 55 to 250 dollars a month. The full token math with a worked monthly example is in the AI SDR cost on Kimi K3 breakdown.
Infrastructure. You need a sequencer for sending, warmed domains, and LinkedIn access. Cold email infrastructure through a tool like Instantly runs roughly 47 dollars a month at the Growth tier. LinkedIn automation adds roughly 5 euros per linked account per month. Both figures verified against their pricing pages as of mid 2026.
Data. The agent needs firmographic and contact data to research those accounts. If you already pay for a data provider, an API-first connection slots it into the agent workflow without a new seat. A waterfall across multiple providers, stopping on the first verified hit, recovers credits most teams already have access to.
Human review gate. Budget two to four hours a week to review messaging, approve drafts, and handle escalated replies. This is not optional. It is the loop that keeps positioning honest and deliverability clean. Budget hours, not dollars, but do not budget zero.
Without inventing numbers: for a small team, the full stack sits at a few hundred dollars a month in total recurring cost, well below the 600 to 5,000 dollar seat range.
Why the gap between seats and agents is so wide
The 30x spread between a platform seat and an operator-run stack is not waste. It is a structural pricing choice.
Seat vendors anchor to the human SDR salary the product competes with. An SDR at 85,000 dollars OTE justifies a 5,000 dollar a month seat if the vendor can argue comparable meeting volume. The model cost, orchestration, and customer success margin get bundled into one opaque number. Buyers rarely decompose it.
The second structural factor is model lock-in. A vendor tied to one model or one model family cannot quickly pass a model price cut through to customers. Annual contracts, established rate cards, and a fixed roadmap mean the savings from a cheaper capable model accrue to platform margin first. At renewal, if at all, some of that flows back to the buyer.
An operator-run setup inverts this. The model is a swappable config value. When a newer cheaper capable model ships, you change the config, run evals on your actual reply and draft quality, and the savings appear on the next bill rather than in a pricing negotiation. This is the layer that Yalc's AI agents for cold email occupy: modular GTM agents that run on your existing CRM and sequencer, stay model agnostic, and improve in cost with each model generation without requiring a vendor negotiation.
Frequently asked questions
How much does an AI SDR cost per month?
It depends on the route you take. Platform seats from vendors like 11x, Artisan, and AiSDR run 600 to 5,000 dollars a month, usually on annual contracts. Agency outbound retainers run 2,500 to 8,000 dollars a month. Running your own agents on a capable model costs roughly 55 to 250 dollars in model tokens plus a few hundred dollars in sequencer and data infrastructure, depending on volume and what you already pay for.
Is an AI SDR cheaper than hiring a human SDR?
On cost alone, yes. A fully loaded in house SDR costs 90,000 to 100,000 dollars or more per year, with year one often near 154,000 dollars once ramp, recruiting, and tooling are counted. Even the most expensive AI SDR seat at 5,000 dollars a month runs 60,000 dollars a year, which undercuts that. An operator-run agent stack undercuts it further. The honest caveat is that an AI SDR does not replace live discovery, objection handling, or relationship management, so comparing on cost alone misses what each option actually does.
Why do AI SDR platforms charge so much when the model cost is low?
Because seat pricing is anchored to the human SDR salary the product competes with, not to the underlying model cost. At current model pricing, a full month of research, drafting, and reply classification runs a few tens of dollars in tokens. The seat price bundles model cost, orchestration, customer success, and margin into one number, and most vendors lock that in on annual contracts. An operator-run setup decouples the model line item from the seat price, so you benefit directly when model prices fall.
What is included in the real total cost of an AI SDR?
Beyond the model or seat cost, the honest total includes: a data provider for firmographic and contact data, a sequencer and warmed sending domains for deliverability, and two to four hours a week of human review time. A team already running outbound usually has the data and sequencer subscriptions. The review gate is the item most often budgeted at zero and then regretted when messaging drifts or a bad send earns a spam complaint.
Can you build an AI SDR stack for less than buying a platform seat?
Yes, with meaningful caveats. The model bill for a full month of outbound work is a few hundred dollars or less. The infrastructure stack adds another hundred or two. But building it yourself means writing the orchestration, the eval harness, and the integrations between your CRM, sequencer, and data providers. For a solo operator or small RevOps team, the setup cost in hours is the real variable, not the monthly running cost. Platforms sell the configuration work; operators who skip them take on that work themselves.