Tabnine · Tools

Tabnine

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At a glance

Price
Pricing on request
Vendor
Tabnine

Specifications & properties

Key decision factors

Pricing model
Paid 1
Tool form
  • IDE plugin
1
Autonomy level
Supervised agent 1
Training on code
No training on user data 1
Model choice
Multiple models 1

Pricing

Price from
Pricing on request 1

Model

Available models
LLMs from Anthropic, OpenAI, Google, Meta, Mistral and others 1

Capabilities

Repo-wide context
Yes 1

Compliance

Self-hosting / on-prem
Yes 1
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Privacy-focused AI code assistant and agentic platform with flexible enterprise deployment options.

Profile

Tabnine is an AI coding assistant and agentic development platform for enterprise software teams, delivering AI-powered code completions, in-IDE chat, and autonomous coding agents that work with an organization's own codebase, tools, and workflows.

Company and History

Tabnine launched its first AI code assistant in 2018, making it one of the earliest companies to bring generative AI to software development, years before the current wave of AI coding tools. The company describes itself as privately held and backed by investors including Atlassian, Khosla Ventures, Qualcomm, and Telstra. Tabnine states it now serves over one million developers and thousands of organizations, and describes its mission as accelerating and simplifying the entire software development life cycle through AI. Tabnine has been recognized by Gartner as a Visionary in its Magic Quadrant for AI coding assistants, named a G2 leader, and received InfoWorld's Technology of the Year award.

Core Features

Tabnine centers its product on an "Enterprise Context Engine" that gives its AI system-level understanding of a company's private code, connecting to sources such as GitHub, GitLab, Bitbucket, and Perforce, plus tools like Jira and Confluence via the Model Context Protocol. Built on this context layer, Tabnine offers three main capabilities: AI code completions (single-line and multi-line, full-function suggestions), an AI chat assistant embedded in the IDE, and autonomous coding agents, available through IDE integrations and a dedicated Tabnine CLI for terminal-based agentic workflows, including optional "headless agents" that can run inside CI/CD pipelines. Tabnine also lets teams choose among multiple large language models rather than locking them into one provider, and includes code scanning aimed at license compliance and IP protection.

Pricing Model

Tabnine sells two named subscription tiers, billed annually per user: the Code Assistant Platform at $39/user/month (completions, IDE chat, Jira integration) and the Agentic Platform at $59/user/month, which adds autonomous agents, the CLI, the Context Engine with unlimited codebase connections, and MCP-based tool integrations. A separately priced "Headless Agents" add-on covers CI/CD use. Pricing can also vary depending on whether an organization brings its own LLM contracts or uses LLM access provided by Tabnine (provider rates plus a 5% handling fee). As of this writing, Tabnine's pricing page does not advertise a free tier or free trial.

Positioning and Who It's For

Tabnine's clearest differentiator is control over deployment and data. It offers SaaS, VPC, on-premises, and fully air-gapped deployment options, so security-sensitive organizations can keep code entirely inside their own infrastructure. The company states its platform involves "zero code retention" and does not train models on customer code or share it with third parties, citing GDPR, SOC 2, and ISO 27001 compliance along with SSO and end-to-end encryption. This makes Tabnine most relevant for regulated, security-conscious, or mission-critical enterprise engineering organizations, such as banks, government contractors, and defense-adjacent teams, that want AI coding assistance without exposing proprietary source code to third-party training pipelines, rather than for individual hobbyist developers, where free tools are more common.

Frequently asked questions

What does Tabnine cost?

Tabnine's published pricing lists two paid, per-user annual subscription tiers: the Code Assistant Platform at $39/user/month and the Agentic Platform at $59/user/month, plus a separately priced "Headless Agents" add-on for CI/CD use. Costs can also vary if an organization uses Tabnine-provided LLM access (provider rates plus a 5% handling fee) instead of its own LLM contracts.

Is Tabnine free?

No. As of this writing, Tabnine's pricing page lists only two paid subscription tiers ($39 and $59 per user/month) and does not advertise a free plan or a free trial.

Is Tabnine GDPR-compliant, and does it train on my code?

Tabnine states it is GDPR, SOC 2, and ISO 27001 compliant, and describes its platform as offering "zero code retention and total privacy - no storage, no training on your code, no sharing with third parties," alongside end-to-end encryption and SSO integration.

Does Tabnine support self-hosting or air-gapped/on-premises deployment?

Yes. Tabnine advertises flexible deployment options - SaaS, VPC, on-premises, or fully air-gapped - letting organizations choose where their code lives, which is a central part of its enterprise security pitch.

What is Tabnine best for?

Tabnine is built for enterprise and security-sensitive software teams that need AI code completion, chat, and autonomous coding agents grounded in their own private codebase via its Enterprise Context Engine, with deployment control (SaaS/VPC/on-prem/air-gapped) as its core differentiator versus more consumer-oriented AI coding tools.

Tabnine vs. GitHub Copilot - what's the difference?

Tabnine does not publish a like-for-like feature comparison on its official pages, but its own stated differentiator versus typical cloud-only AI coding assistants is deployment control and privacy: Tabnine can run as SaaS, VPC, on-premises, or fully air-gapped, with zero code retention and no training on customer code, whereas many competing assistants are offered primarily as cloud-only services.