Pricing

Coding assistance and coding agents

• AI code completions for current line and multiple lines for full-function implementation
• AI-powered chat in the IDE that supports every step in the SDLC,
  using leading LLMs from Anthropic, OpenAI, Google, Meta, Mistral and others
• Works in all major IDEs
• Workflow AI agents: test case agent, Jira implementation agent, code review agent
• Autonomous agents, with optional user-in-the-loop oversight
• Can use various tools through the Model Context Protocol (MCP):
  • Code Tools: Git operations, testing frameworks, linters
  • External Services: JIRA, Confluence, databases, APIs
  • Development Tools: Docker, package managers, CI/CD systems

• Integration with Atlassian Jira Cloud and Data Center to inform AI responses and generation

Org-awareness

• A Context Engine that understands your organization and its standards
• Unlimited codebase connections for Bitbucket, GitHub, Gitlab and Perforce P4 (Helix Core)
• Connects to Git, Jira, Confluence, and more
• Uses your real-time development context and adapts outputs accordingly
• Applies your  organizational coding standards consistently
• Surfaces the most relevant APIs, docs, and code examples for your teams

Security

• Flexible deployment options – SaaS, VPC, on-premises, or fully air-gapped. You choose where your code lives
• Zero code retention and total privacy – No storage, no training on your code, no sharing with third parties
• End-to-end encryption and TLS. Secure communication and data integrity in every environment
• SSO integration for ease of administration for private deployments
• Enterprise-grade compliance – Meets GDPR, SOC 2, ISO 27001, and more
• License-safe AI usage.  Built-in protection against licensing risks**

Deployment flexibility

• Fully private deployment on SaaS or self-hosted (VPC, on-premises, with the option to be fully air-gapped)
• Compatible with all major IDEs, LLMs, languages, and cloud providers
• Works across legacy systems and modern stacks
• No Lock-in and no forced tool changes
• Extensible via MCP

Steerability

• Define clear boundaries and behaviors for the AI
• Governance controls to manage permissions, scope, and usage
• Centralized analytics for visibility into adoption, cost, and compliance
• Adjust Tabnine to follow your rules, processes, and risk profile
• Auditability for all usage
• Access MCP governance controls
• Set pricing thresholds per user/team
• See usage metrics per user team
• Control LLM access by user/ team
• View code generation provenance
• Advanced analytics

Support

• Priority ticket-based support during business hours
• Training on AI-enabled software development for your entire team

* Unlimited usage when using your own LLM on-prem or your LLM end point on cloud. Add payment for reserved token consumption quota when using Tabnine provided LLM access, based on actual LLM provider prices + 5% handling fee

** IP indemnification – subject to terms and conditions