Cursor offers an AI coding assistant built on Claude, GPT, and Gemini models, but it is limited to cloud-only deployment, usage-based pricing, and minimal governance. Unlike Cursor, Tabnine delivers a smarter AI coding experience-aware of your organization’s context and policies, and steerable to fit your standards. Cursor also requires developers to adopt its own fork of VS Code, while Tabnine works across the IDEs and workflows enterprises already rely on. Tabnine is proven at scale, with enterprise-grade compliance and flexible deployment options enterprises can control.
Tabnine enables centralized administration, analytics, usage monitoring, and enforceable coding standards across teams.
Cursor provides team/enterprise admin dashboards and SSO but lacks fine-grained policy enforcement or explainability for AI-generated code.
Org-aware intelligence
Tabnine’s Context Engine integrates with your repos, Jira, and Confluence to deliver relevant, policy-compliant suggestions.
Cursor indexes your local repo for context but does not connect to broader enterprise knowledge sources.
Steerable AI coding
Tabnine empowers enterprises to steer AI output with coding standards, policies, and org-specific preferences.
Cursor offers a powerful agent, but outputs are freeform and difficult to constrain to organizational rules.
Flexible deployment
Tabnine runs in SaaS, VPC, on-premises, or fully air-gapped environments.
Certified for SOC 2, GDPR, HIPAA, ITAR, with zero-retention policies and indemnification.
Cursor is cloud-only, relies on multiple subprocessors (OpenAI, Anthropic, Google), and does not support air-gapped or self-hosted deployments.
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Side-by-side comparison
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Check out this detailed comparison of the key capabilities of Tabnine and Cursor
Code completion
Autogenerates code snippets and full functions as you type
Via proprietary Tab models
Generates code automatically from written comments
AI chat assistance
Ask general coding questions and get relevant recommendations
Use natural language to generate code based on your specifications
Automatic generation of documentation for selected code
Manual
Recommend fixes to selected code with error(s)
Manual prompting required
Automatic generation of comprehensive test plans with detailed test cases for a specific function or code in your project
Manual
Plain language explanation of the purpose and behavior of selected code
General purpose LLM output
Ability to update or refactor selected code
Dedicated onboarding agent to enable developers to quickly onboard to a new project
Privacy
Ability to control the deployment location (SaaS, VPC, on-premises)
Customers can consume Tabnine as a secure SaaS offering (in a multitenant or a single-tenant environment) or do a fully private installation (on-premises or on VPC) to ensure that their code stays in the boundaries of their corporate network and isn’t shared with any external party.
Cursor is offered only as a SaaS product.
Support for fully air-gapped deployments
SOC 2 Type 2 compliance
GDPR compliance
ISO 9001 compliance
Tabnine offers ISO 9001 compliance, which is a globally recognized standard for quality management that demonstrates a company's commitment to maintaining high quality, meeting customer expectations, and improving performance.
Cursor does not offer ISO 9001 compliance.
Zero data retention policy (both for code and usage metrics)
Privacy mode available but not zero-retention by default)
Protection
Enterprise-grade security, confirmed by industry certifications
Indemnification against IP violations for any and all generated code - subject to terms and conditions
Models
Switchable models
Model flexibility
Multiple third‑party model options (OpenAI, Anthropic, Mistral...) with admin controls; can connect internal endpoints.
Tabnine admins at enterprises have complete control and can choose any specific models for their teams. They can also connect Tabnine to an LLM endpoint inside their corporate network if needed.
Tabnine is committed to adding support for new, state-of-the-art LLMs as they become available. This prevents LLM lock-in, future-proofs your AI strategy, and enables you to take advantage of all the innovation happening in this
Limited to listed providers
Steerability
Ability to enforce org-specific coding standards
Policy-based control of AI suggestions
Explainability & transparency for AI outputs
Org-aware
Uses access to your company codebase, repos, tickets, etc to create more relevant recommendations
IDEs
Support for the development environments your teams use
Requires Cursor IDE
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Tabnine is named a Visionary in the September 2025 Gartner® Magic Quadrant™ for AI Code Assistants
