Tabnine Pricing 2026: Plans, Monthly Cost and Limits
Oct 28, 202614 min read
Tabnine Pricing Today, Checked 28 October 2026
Tabnine Pricing per User Each Month
Tabnine charges per user each month, but that rate is only the starting line.
Three things set the real bill: your plan, the model usage included with it, and where the software runs, whether that's a vendor cloud or a self-hosted setup alongside tools like Activepieces. Price your own team's workload before you sign.
Tabnine pricing is the per-user monthly subscription cost of Tabnine's AI coding assistant, set by the plan a team chooses, the AI model usage that plan includes, and whether the software runs in the cloud or on the team's own infrastructure.
Tabnine is an AI coding assistant that suggests and writes code inside a developer's editor.
Every plan in one table
Below is what decides the bill for each Tabnine plan, and what to ask about each one before renewal. I've left out any price or limit I couldn't confirm against tabnine.com/pricing on 28 October 2026.
| What decides the bill | Where to find it | What to ask before you sign |
|---|---|---|
| Plan and per-user rate | The pricing page, or "contact sales" where the page says so | Is the rate fixed for the full term, and what does a seat cost once I add people mid-year? |
| Model usage allowance | Tabnine's documentation and your order form | What happens when my team passes the allowance: a slowdown, a cutoff, or extra charges? |
| Deployment choice | The plan description | Does running it in my own environment change the price, and who pays for the servers? |
Check all three lines before renewal and you know your worst-case bill. Check only the first and you know the best case.
What the pricing page does not state
You will not find your own team's spend on the pricing page. It depends on how many people use the tool and how heavily they lean on it. Treat any gap as a question for the sales contact, and get the answer in writing.
Before renewal, count the people who will actually use it, noting the heaviest users separately, and write down a spending rule, such as who approves usage above the allowance.
Those heavy users increasingly include agents, and an agent is a user, not just code. An SDK gives it something to run but no tenant, no role and no audit log, so a spending rule has nothing to attach to.
Activepieces places each agent in the same access model as your developers: SSO on the Team plan, and SCIM with custom RBAC on Ultimate, decide which tools it may connect to, and every tool call it makes is logged separately with its own input and output.
MoneyGram, Moneypenny, Alan and FundingSocieties run Activepieces in production. A rule such as "who approves usage above the allowance" then covers the agent as well as the person.
If you are running this arithmetic for your own team, see what the same workload costs on Activepieces.
Why the First Tabnine Invoice Exceeded Budget
At 09:40 on a Monday, a six-developer team we'll call Harbor Row opens its first Tabnine invoice and finds it doesn't match the $234 they budgeted, so they were immediately over budget. The per-seat price covers the seat, not what the seat uses.
This is an illustrative case, worked from the published per-seat price rather than taken from a real customer's bill.
Budgeting Tabnine Cost for a Six-Developer Team
Like most of us would, Harbor Row's lead took the headline $39 per seat, multiplied by six developers, and wrote $234 on the budget line, treating the headline as the final cost, which meant they excluded anything beyond the per-seat fee, so every dollar of their $234 covered only the base licensing alone.
That number is the floor for the month, not the expectation. Anything the plan charges beyond the seat arrives as a surprise instead of a line item.
The workload is ordinary. All six developers use chat and code completion every day, and two of them run longer, agent-style tasks that draw far more model usage than a quick autocomplete does.
The team also picked where the software runs, and that choice carries its own cost. Nobody on the team checked the usage allowance before signing, so the first person to learn what it covered was whoever opened the invoice.
The bill on each plan, month by month
Put the same six people and the same work on each plan and you get a different total each time.
On a lower plan, the allowance can run out early, and what happens next (extra charges or a slowdown) is a rule you need to read before you sign. A higher plan costs more per seat but may include more usage.
A deployment you run on your own servers moves some of the cost off the invoice and onto your hardware and your staff's time.
It's illustrative. Take from it that the distance between the two bars comes from usage and deployment, not from the seat count you can see in advance.
Usage Limits and Hidden Costs Behind the Overrun
Outside the per-user number sit five lines, and they are why the bill outgrew the headline price. Each depends on how your team works, not on the list price. Tabnine's own pricing pages set them.
When a heavy month uses up the allowance early, the rest is billed at model rates, and the allowance differs per plan.
Seat minimums or annual terms mean you can pay for empty seats, or a full year, after the team shrinks.
A 5% fee on token prices makes every dollar of pass-through model use cost slightly more than the model's own price, which means customers pay 5% above what the underlying model provider charges.
On top of the seat, each add-on is another line. Self-hosted infrastructure puts servers and staff time on your books, not Tabnine's.
Tabnine Plan Usage Allowance and Overage Charges
Lean on the assistant all day and you exhaust the set amount of model usage each plan includes; everything after is metered, so two teams on the same plan can receive very different invoices.
Falling model prices can hide this. OpenAI's flagship input price was $30 per million tokens in March 2023, according to the RoninForge AI Price Index.
It fell to $10 in November 2023, $5 in May 2024, $2.50 in August 2024 and $2 in April 2025, so the underlying cost of tokens fell by more than 93% in under two years.
That's a fifteen-fold drop, so the model itself is the shrinking part of your cost. Take from it that the allowance and the pass-through terms, not the model's price, decide what you pay.
Seat, term and add-on costs
Sign a seat minimum or annual term and you commit before you know your real usage. If the team shrinks mid-term, you still pay for the seats you signed.
Add-ons work the same way: each one looks small beside the seat price, but together they can move the total more than the seat does. Ask for minimums, term length and add-on prices in writing before you sign.
Choose self-hosting and the computing and the upkeep move to you. Neither appears on Tabnine's invoice, so price them separately, including the hours someone spends keeping it running.
Worth checking against a plan that does not meter every step: one credit covers a whole run on Activepieces.
Tabnine Against Copilot, Cursor and Claude Code
On private deployment Tabnine beats the other three, and on brand-name momentum it trails them. None of the four has a flat price once usage is counted, which is exactly where each one hides its second bill.
Here is how each tool charges and where it draws its limits. I've left out dollar figures because I haven't confirmed them against each vendor's page, and a stale price is worse than none.
| Tool | Billing basis | Usage limits | Model choice | Private deployment |
|---|---|---|---|---|
| Tabnine | Per seat, by plan | Model allowance set by plan | Several vendors' models | Self-hosted and isolated options on its higher plans |
| GitHub Copilot | Per seat, by plan | Allowance of premium model requests | Several vendors' models | Runs in GitHub's cloud |
| Cursor | Per seat, by plan | Usage pool that can run out | Several vendors' models | Cloud, with a privacy mode |
| Claude Code | Paid Claude plan or API billing | Plan limits or pay-per-use | Anthropic's Claude models only | Reachable through enterprise cloud providers |
Multiply the seat price by six, then add whatever the usage rules add. That total is your bill, so get it from each vendor on the day you decide.
Copilot and Cursor both have free tiers, which suit a trial but not a team's daily work.
Claude Code has no free tier of its own. It rides on a paid Claude plan or on metered API charges, so its cost follows how hard your developers lean on it.
Every tool here caps heavy model use somehow, whether by request allowance, shared pool or plan limit.
Claude Code is the narrowest on choice, since it only uses Claude models. If your developers already know which model they want, that matters less than how fast the allowance runs out.
If your code can't leave your own network, private deployment is Tabnine's strongest ground: it's the only one of these four that builds its pitch around running inside it. If that rule doesn't apply to you, you're paying for something you won't use.
The Spend Rules the Team Set Afterward
Stop paying for seats nobody is using: that was the first of the six spend rules the team ended up with, and it came from the same logic as the last.
Vertice's analysis of unused SaaS applications shows why that comes first.
About six in ten seats you pay for aren't earning their price. Vertice reports that sixteen percent of licenses sit fully unused, 46 percent are underutilized, and only 38 percent are well used, so a seat review pays for itself before you touch anything else.
Those figures are an industry average, not this team's own count. They justify checking, and the checking produced these rules:
- The plan is chosen against the team's measured workload, not the headline price.
- Seats are capped, and adding one needs the owner's approval.
- One named person owns the bill.
- Usage is reviewed on a fixed date each month.
- An alert fires at an agreed share of the model usage allowance, so overage never arrives as a surprise.
- The renewal date is checked well ahead of time.
On Monday morning, work through this list:
- Pull your last invoice and your current seat count, and divide one by the other.
- Estimate your real workload and compare it with the plan's model usage allowance.
- Choose the plan that fits that workload, and set a seat cap at the number of people who actually use the tool.
- Name one owner for the bill.
- Set the usage alert threshold and put the first monthly review in the calendar.
- Diary a renewal check far enough ahead that you can still change plans or drop seats.
Fix Seat and Usage Reviews with Activepieces
When a review depends on someone remembering to run it, it gets skipped in the busy month, and that's the month an overrun costs you most.
Activepieces can run the monthly check on a schedule so nobody has to remember, and it does so across 746 integrations, with unlimited flows on every plan, including free, so you won't be limited by integration availability or feature tiers.
It doesn't replace Tabnine or change what Tabnine charges. It just makes sure you look at the numbers before the invoice does.
What the monthly review workflow does
Set on a schedule, say the first of each month, the workflow pulls the seat count and the model usage figures from each tool you pay for.
It uses whatever that tool has: a downloadable export or an API (a way for one program to ask another for data). Tabnine would be one of those tools, alongside any other coding assistant or AI service on the bill.
The schedule fires, each tool's seats and usage come in, an overrun check compares them with the limits you set, and the result goes to the named owner by Slack message and email summary.
What to take from it is that the check sits in the middle. Collecting numbers is easy; the value is in the comparison against a rule you wrote down before renewal.
Without that rule, you find an overrun when the invoice arrives, when it's already spent. With it, the owner hears about a team drifting past its allowance, or paying for seats nobody uses, while there's still time to act.
What it costs to run
To run the same job on Activepieces, you build one scheduled workflow with a few steps. A run costs 1 credit however many steps it has, and the Free plan, at $0, includes 1,000 credits a month, so a monthly check uses one of them.
The Activepieces pricing page lists the current plans.
That puts the cost of the check at one credit a month against the Free plan's 1,000, and plans change, so confirm it on the page before you build.
Compare that with the cost of doing nothing: an overrun you discover after the first invoice, on a plan you could have adjusted beforehand.
Frequently asked questions
Once the invoice lands, four questions tend to come up, and each one is cheaper to settle before renewal than after. The answers below are the ones to confirm in writing with the vendor, since plans and terms change.
Does Tabnine still have a free plan? Treat the pricing page as the only authority, and budget as if there is no free plan unless it lists one today.
Even if a free tier exists, check whether it includes the model usage and deployment option your team needs. A free tier that can't cover your real workload is a trial, not a plan.
Can a team pay monthly instead of annually?
Ask the sales contact directly, and get the answer in the quote itself. Annual billing usually carries a lower rate in exchange for a fixed commitment, and monthly billing gives you room to leave.
If your headcount or usage is still uncertain, the flexibility can be worth more than the discount. If it's settled, the commitment costs you nothing.
Is Tabnine cheaper than GitHub Copilot?
Not necessarily, and a comparison of headline per-user prices won't tell you. Copilot is Microsoft's coding assistant and the tool most teams measure Tabnine against.
What decides the gap is the plan tier, the model usage each includes, and whether you run it in the vendor's cloud or on your own servers.
Price the same workload on both, using the same number of developers and the same expected usage, then compare the totals.
Do students or open source maintainers get a discount?
Don't assume so. Some vendors run such programs and some don't, and the terms are set by the vendor, not by the category of user.
If your team includes students, volunteers or maintainers of open source projects, ask before you buy seats for them. A discount you didn't ask about isn't one you'll be given.
Related reading
References
Running the numbers
See what the same workload costs here.
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