Tabnine
The enterprise-first assistant: private deployment and no training on your code.
What it is
Tabnine sells to organisations that cannot send source code to a third-party model vendor. It can run in your own VPC or fully on-premise, and the contract states your code is not used for training. Feature depth is below Copilot and Cursor; the reason to choose it is procurement and compliance, not capability.
Pricing updated 2026-11-11 Official pricing
Tabnine pricing explained
There is no public price: both the individual and enterprise tiers are quoted per user after a sales conversation, and the useful capabilities — self-hosting, personalised models, admin controls — sit behind the enterprise agreement rather than the entry plan. That is normal for this segment and it makes comparison shopping awkward: you cannot put Tabnine next to Copilot on a spreadsheet without a quote. The honest framing is that you are buying a compliance position, and the price is whatever your organisation pays for that position. Verify current terms with the vendor rather than trusting a review, since these contracts are negotiated per customer.
Free-tier limits are taken from the official pricing page on the update date above. They change often — confirm before you commit to an annual plan.
Tabnine key features
Inline completion across 20+ languages
The core product: whole-line and full-function suggestions in the editor, tuned for mainstream enterprise languages rather than the newest framework of the month.
Self-hosted and VPC deployment
The model can run in your own environment. This is the reason the product exists for most buyers — source code never leaves the network.
No training on customer code, contractually
The commitment is in the agreement, not only in a marketing page. For a legal review, that difference matters.
Personalised models per team
It can learn your internal libraries and naming conventions on your own infrastructure, which helps most on codebases with heavy in-house frameworks.
Broad IDE coverage
JetBrains, VS Code, Eclipse and others, including older enterprise setups. Often the deciding factor where developers cannot change their IDE.
SSO, audit logs and admin controls
The governance surface a security team asks about first: who used it, on what, and how access is revoked.
Tabnine: how it works
Deployment model is the product
A self-contained model running inside your perimeter changes the risk assessment: no data egress, no third-party subprocessor, no vendor outage. It also means you carry the operational burden.
Smaller models tuned for completion
The models are sized for latency and on-premise hardware rather than for the frontier benchmark. That is why completion feels fine while complex agentic tasks are not the target use case.
Per-organisation fine-tuning
Training on your own repositories happens inside your environment, which improves suggestions for internal APIs but does not close the gap with the largest hosted models on general reasoning.
Tabnine core strengths
Genuine on-premise and air-gapped deployment
Not a VPC checkbox — it runs where there is no internet. For regulated industries this is often the only option on the list.
Contractual guarantee against training on your code
Auditable by legal, which is what unblocks procurement in organisations that would otherwise ban AI assistants outright.
Broad IDE support, including older enterprise setups
Works in the Eclipse install the platform team refuses to upgrade. Unglamorous, and decisive in a lot of large organisations.
Governance features ship with it
SSO, audit logs and admin controls are part of the product rather than an enterprise add-on you discover later.
Tabnine compared with alternatives
| Tool | Tabnine | GitHub Copilot | Cursor |
|---|---|---|---|
| Best for | Organisations that cannot send source code to a model vendor | Teams already hosting on GitHub who want editor, review and triage covered | Individual developers who want the most mature agent-driven editor |
| Pricing shape | Quoted per user by sales; no public price | Free tier, then $10 / $39 / $100 per user per month | Usage pools from $8 to $200 per month, third-party models billed separately |
| Deployment and data | Self-hosted, VPC and air-gapped options with a no-training clause | SaaS; cloud agent runs in GitHub-managed environments | SaaS with local codebase indexing; no self-hosting |
Written from the official product pages listed under Sources, not copied from another directory. Prices and limits reflect the update date above; features ship faster than reviews, so treat the list as a starting point and confirm on the official site.
Pros and cons
Strengths
- Genuine on-premise and air-gapped deployment
- Contractual guarantee against training on your code
- Broad IDE support, including older enterprise setups
Limitations
- Completion quality behind the frontier assistants
- Pricing requires a sales conversation
- Most useful features need an enterprise agreement
Tabnine use cases
Regulated codebases
Finance, health and public-sector repositories where source cannot leave the perimeter under any circumstances.
Air-gapped development
Environments with no internet access at all, where every hosted assistant is structurally disqualified.
Internal framework teams
Codebases built on in-house libraries benefit from per-organisation tuning, which generic models handle poorly.
Enterprise IDE fleets
Organisations standardised on Eclipse or an older JetBrains release that newer tools have dropped.
Procurement-driven rollout
When legal and security sign off before engineering evaluates, the deployment story decides the vendor.
