Pricing

Tabnine Pricing

Tabnine is now part of Tricentis: public self-serve plans and prices were withdrawn, so buyers need a Tricentis quote. See what changed and which alternatives publish pricing.

Buyer guide

Where to start before you compare plans

Check who bills you, how usage is metered, and which caveats apply before choosing an access path.

Annual billing

Tabnine no longer publishes seat prices after the Tricentis acquisition, so confirm contract length, billing interval, and add-on capacity in a Tricentis quote.

Tracks

Which plan fits whom

Team baseline

Code Assistant was Tabnine's baseline team seat route before the Tricentis acquisition; confirm current availability and pricing with Tricentis.

Best for: Teams that want governed AI code assistance with their existing LLM choice or Tabnine-hosted quota.

Avoid if: You need broader agentic workflows or headless automation capacity.

Agentic team workflow

Agentic Platform was Tabnine's higher team seat for agentic workflows; confirm whether it is still offered through Tricentis.

Best for: Teams standardizing more advanced AI development workflows.

Avoid if: Baseline code assistance is enough.

Automation add-on

Headless Agents Business was an automation add-on; confirm current availability with Tricentis before budgeting.

Best for: Teams running background or headless coding-agent tasks.

Avoid if: All usage is human-in-the-editor assistance.

Enterprise automation

Headless Agents Enterprise was the larger automation-capacity route; confirm current availability with Tricentis before budgeting.

Best for: Organizations with heavier token needs and enterprise controls.

Avoid if: Business add-on capacity is already enough.

Watchouts

What buyers often miss

These are the boundary conditions and purchase traps worth checking before you optimize for the lowest headline number.

Seat plans and headless add-ons are different

Do not compare Code Assistant seats and Headless Agents as if they solve the same purchasing job.

Own LLM usage can change economics

If a team uses its own LLM, compare seat pricing separately from any Tabnine-hosted quota charges.

Editorial pricing notes

Pricing notes

Plan caveats, contract terms, and feature-access limits that can change what you actually pay.

Status: Tabnine is now part of Tricentis

Tricentis announced its acquisition of Tabnine on July 30, 2026. Tricentis is integrating Tabnine's Enterprise Context Engine—which builds a continuously updated knowledge graph of an organization's code, documentation, tickets, APIs, and infrastructure—into the Tricentis Agentic Quality Engineering Platform. The Enterprise Context Engine can run on-premises, in a private VPC, or fully air-gapped.

For buyers, the practical change is that Tabnine no longer publishes self-serve plans or list prices. The tabnine.com website, including its former pricing page, now redirects to Tricentis, so earlier public figures for Tabnine seats should be treated as historical rather than current. Pricing for Tabnine technology is now obtained through Tricentis sales.

What this means for new buyers

Tabnine was historically sold as an enterprise AI coding platform focused on private deployment, code privacy, and model governance. Those capabilities remain the reason to consider it, but the buying path has changed:

  • No public self-serve tier: There is no current public Tabnine plan to sign up for online. Treat any free, starter, or per-seat price you find on third-party sites as potentially outdated.
  • Quote-based enterprise route: Organizations that need private, governable AI development assistance should request a quote from Tricentis and confirm which Tabnine capabilities are offered, on what terms, and inside which Tricentis products.
  • Deployment requirements first: The strongest reason to evaluate Tabnine technology is a hard requirement for on-premises, private VPC, or air-gapped deployment. Confirm the supported deployment model in writing before a pilot.
  • Product direction: Tricentis positions the acquired technology around quality engineering and testing agents. Confirm whether the IDE assistant, chat, and agent features your developers need will continue to be sold and supported, and for how long.

What this means for existing Tabnine customers

Existing customers should treat the acquisition as a contract and roadmap review:

  1. Confirm contract continuity: Ask Tricentis how current Tabnine subscriptions, renewal dates, and pricing will be handled.
  2. Confirm product support: Verify support timelines for the IDE plugins, chat, agents, and private deployment components your teams use.
  3. Confirm data handling: Re-validate code retention, model access, and data processing terms under the new owner before renewal.
  4. Plan a fallback: Identify an alternative assistant that meets the same security requirements in case the capabilities you rely on are folded into a different product.

Alternatives when self-serve buying matters

If your team wants published pricing and immediate sign-up rather than a sales-led enterprise route, compare these alternatives:

Alternative

Public Entry Price

Deployment Model

Best Fit

GitHub Copilot

$10 / month (Pro); $19 / seat / month (Business); $39 (Enterprise)

Cloud service with organization policies

GitHub-centric teams wanting a mainstream assistant

Cursor

$20 / month (Pro); $40 / user / month (Teams Standard)

Cloud-based AI IDE

Developers wanting a full AI-first editor

Claude Code

$20 / month (Claude Pro), or API billing

Terminal and IDE agent; cloud providers such as Bedrock and Google Cloud

Agentic repository work and enterprise cloud routes

OpenAI Codex

Included in ChatGPT plans; Business $25 / seat / month ($20 annual)

Desktop app, CLI, IDE, and cloud tasks

Teams already standardized on ChatGPT

None of these alternatives offers a fully air-gapped, on-premises deployment through a public self-serve plan. When air-gapped operation is mandatory, a sales-led enterprise route—including Tricentis for Tabnine technology—remains necessary.

Buying checklist

Before committing budget to Tabnine technology after the acquisition:

  • Get a written quote from Tricentis, including seat or platform pricing, contract length, and what is included.
  • Confirm the product scope: IDE assistant, chat, agents, Context Engine, and private deployment components.
  • Confirm deployment: on-premises, private VPC, or air-gapped, and the infrastructure work each requires.
  • Confirm model and data policies: which models are available, where inference runs, and how code is retained or excluded from training.
  • Compare against a self-serve alternative so the decision reflects the real requirement for private deployment rather than habit.

Evidence boundary

Official sources

Editorial guidance grounded in official product sources.

FAQ

Tabnine pricing FAQ

What is the normal Tabnine buying route?

Since Tricentis acquired Tabnine on July 30, 2026, Tabnine is bought through Tricentis sales rather than self-serve plans. Request a quote and confirm the product scope, deployment model, and pricing in writing.

When should I choose Tabnine Agentic Platform?

Agentic Platform was Tabnine's higher team tier for agentic workflows before the acquisition. Confirm with Tricentis whether it is still sold and what it includes before choosing it.

What are Tabnine Headless Agents?

Headless Agents were add-on automation capacity plans with separate token allowances for background coding-agent work. Their current availability after the Tricentis acquisition must be confirmed with Tricentis.

Is Tabnine Enterprise a fixed self-serve plan?

No. Tabnine no longer offers public self-serve plans; enterprise buying runs through Tricentis sales for governance, deployment, and automation needs.