Tabnine

Tabnine is an AI development platform that provides code completions, IDE chat, agentic workflows, and organization-aware context. The current pricing page separates the Tabnine Code Assistant Platform from the Tabnine Agentic Platform. Both are designed for controlled deployments, including SaaS, VPC, on-premises, and air-gapped environments, with governance and code-privacy controls.

✨ Key Features

• Code completions — Generate current-line and multi-line completions, including full-function implementations, inside supported IDEs.
• IDE AI chat — Ask coding questions and request code, tests, documentation, or refactoring help across the software lifecycle.
• Agentic development — The Agentic Platform adds autonomous agents with optional human oversight for complex development tasks.
• Context Engine — Connect codebases and organizational context so agents can use architecture, dependencies, standards, and relevant documentation.
• CLI agents — Run terminal-native agents for code changes, refactoring, pull requests, and CI workflows.
• MCP tool use — Let agents use Git, tests, linters, Jira, Confluence, databases, APIs, Docker, package managers, and CI/CD tools where configured.
• IDE and language coverage — Work across major IDEs, programming languages, and cloud providers as supported by the platform.
• Governance and steerability — Define AI boundaries, manage permissions, control model access, monitor usage, and inspect code-generation provenance.
• Private deployment — Deploy as SaaS, VPC, on-premises, or fully air-gapped, depending on organizational requirements.
• Headless CI/CD agents — Optional headless agents automate code generation, review, test creation, remediation, and policy checks without interactive IDE use.

💳 Pricing

• Tabnine Code Assistant — $39/user/month, billed annually. Includes code completions, IDE chat, Jira integration, private deployment options, security controls, governance, analytics, and support. Using Tabnine-provided LLM access adds reserved token consumption costs based on provider rates plus a handling fee; own LLM endpoints are unlimited according to the pricing page.
• Tabnine Agentic Platform — $59/user/month, billed annually. Adds autonomous agents, Coaching Guidelines, Context Engine, CLI agents, MCP tools, cross-repository connections, and agent governance.
• Headless Agents Business — $1,200/month, billed annually. Supports up to 5B monthly tokens for targeted CI/CD automation and is licensed by processing capacity rather than seats or tokens.
• Headless Agents Enterprise — $5,000/month, billed annually. Supports up to 50B monthly tokens for organizations scaling automation across pipelines and environments.

Pricing note — The reviewed pricing page presents these as quote/start-a-conversation prices and states that customer LLM token costs can be separate. Confirm current commercial terms, add-ons, and taxes with Tabnine before purchase.

⚖️ Alternatives Compared

🎯 Use Cases

• Individual developers：Use completions, chat, and refactoring help inside a supported IDE.
• Platform teams：Set AI permissions, model access, usage policies, and code-provenance controls.
• Enterprise engineering：Deploy in a VPC, on-premises, or air-gapped environment when source-code isolation is required.
• Legacy modernization teams：Use Context Engine and agents to understand dependencies and plan safer changes.
• CI/CD teams：Run headless agents for test creation, code review, remediation, and policy checks.
• Jira-centered teams：Give agents issue context and connect development tasks to repository changes.
• Engineering leaders：Monitor adoption, cost, compliance, and standards across teams and codebases.