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Price check · Nov 6, 2026

Tabnine pricing

Tabnine lists two annual per-user plans at $39 and $59, plus custom-priced Enterprise. Monthly rates aren’t published.

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Short answer

Paid plans start at $39/mo.

Tabnine’s listed plans start at $39 per user per month for Code Assistant and rise to $59 for Agentic Platform. Those rates are billed annually; monthly-billing prices aren’t published. Enterprise pricing is custom. The pricing data lists no free plan and a 14-day free trial. One cost to check before choosing: Tabnine-hosted model usage is charged at the provider’s token price plus a 5% fee. Bring-your-own model and infrastructure usage is listed as unlimited on the first two plans.

01Every plan, line by line

PlanBilled annuallyBilled monthlyBuilt for
Code Assistant$39—individual devs wanting AI code completion
Agentic Platform$59—teams wanting AI coding agents across codebases
Enterprise—Quotelarge orgs needing custom deployment/support

Add-ons and overages

  • Headless Agents: $1,200–$5,000/month depending on tier
  • Enterprise Context Engine: custom quote
  • Tabnine-hosted model usage: provider token price plus 5% handling fee

What a team pays per month

Plan1 seat5 seats10 seats25 seats
Code Assistant$39$195$390$975
Agentic Platform$59$295$590$1,475

02What the plan grid doesn't tell you

Annual billing only

The $39 and $59 rates are per-user monthly prices billed annually. Monthly-billing rates aren’t published.

Hosted model fee

Tabnine-hosted model usage costs the provider’s token price plus a 5% handling fee.

Headless Agents add-on

This add-on is listed at $1,200–$5,000 per month depending on tier.

Enterprise costs aren’t listed

Enterprise and Enterprise Context Engine pricing require a custom quote; usage and seat limits aren’t published.

03Which plan should you buy?

If you are…GetWhy
Individual developersCode AssistantAt $39 per user per month billed annually, it is the lowest listed plan and includes unlimited usage with your own model and infrastructure.
Teams using coding agentsAgentic PlatformAt $59 per user per month billed annually, it lists unlimited codebase connections via Context Engine and unlimited usage with your own model and infrastructure.
Large organizations needing custom termsEnterprisePricing is by custom quote. Usage and seat limits aren’t published, so get those details from sales before comparing total cost.

04Is Tabnine worth the money?

The $39–$59 annual rates give Tabnine a clear entry price, but they don’t tell the whole cost story: hosted models add a 5% fee on top of provider token charges, and Headless Agents cost extra. Enterprise pricing and limits are not published. The published material does not establish Tabnine’s feature set well enough for a full value comparison. One Reddit thread reports users drifting toward Codeium and Copilot, but we don’t have comparable prices here to judge that trade-off.

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Tabnine pricing FAQ

What is the cheapest AI coding agent?

The lowest Tabnine price in the published pricing data is Code Assistant at $39 per user per month, billed annually. That makes it the cheapest listed Tabnine plan, not necessarily the cheapest AI coding agent overall; we don’t have comparable competitor prices here.

Which AI tool is best for pricing?

There isn’t enough information here to rank AI tools by price or value. Tabnine lists Code Assistant at $39 and Agentic Platform at $59 per user per month with annual billing; Enterprise is custom-priced. The published material has no like-for-like competitor prices or capability comparison.

Is Tabnine an AI agent?

The published pricing data describes Agentic Platform as a plan for teams wanting AI coding agents across codebases. It doesn’t provide enough product detail to verify how Tabnine’s agents work or to characterize the whole product beyond that plan description.

Which AI IDE is best for coding?

We can’t rank AI IDEs from the available pricing information. Tabnine’s listed prices are $39 or $59 per user per month billed annually, with Enterprise pricing by quote. The published material doesn’t provide the product details or competitor comparisons needed to judge coding quality.