Copy.ai vs Tabnine Pricing (2026)

How do these two stack up on price? Here's what each one costs, what you get, and where the value sits.

Copy.ai Tabnine
Starts at $29/mo $39/mo
Number of plans 5 2
Free plan
Free trial
Pricing model per-seat per-seat

Chat

$29/mo
  • 5 Seat
  • Unlimited Words in Chat
  • Unlimited Chat Projects
  • Access to OpenAI, Anthropic, and Gemini models

Growth

$1000/mo
  • 75 Seats
  • Unlimited Words in Chat
  • 20K Workflow Credits/Mo

Expansion

$2000/mo
  • 150 Seats
  • Unlimited Words in Chat
  • 45K Workflow Credits/Mo

Scale

$3000/mo
  • 200 Seats
  • Unlimited Words in Chat
  • 75K Workflow Credits/Mo

Enterprise

Custom
  • Guided Jumpstart Implementation
  • API Access & Bulk Workflow Runs
  • 20+ Tech Integrations & API Access
  • Unlimited Customizable Workflows
  • Designated Account & Support Team
  • Enterprise Grade Security Protocols

Tabnine Code Assistant

$39/mo
  • 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
  • Integration with Atlassian Jira Cloud and Data Center to inform AI responses and generation
  • 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**
  • 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
  • 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
  • See usage metrics per user team
  • Control LLM access by user/ team
  • View code generation provenance
  • Advanced analytics
  • Priority ticket-based support during business hours
  • Training on AI-enabled software development for your entire team

The Tabnine Agentic Platform

$59/mo
  • Autonomous agents, with optional user-in-the-loop oversight
  • Follows organizational standards through customizable Coaching Guidelines
  • Code Tools: Git operations, testing frameworks, linters
  • External Services: JIRA, Confluence, databases, APIs
  • Development Tools: Docker, package managers, CI/CD systems
  • Terminal-native AI coding agent for real development workflows
  • Automates tasks like code changes, refactoring, and pull requests
  • Runs in local environments, remote sessions, and CI pipelines
  • Autonomous agents, with optional user-in-the-loop oversight
  • A Context Engine that understands your organization and its standards, included with your subscription
  • 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
  • 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**
  • 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
  • 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
  • Priority ticket-based support during business hours
  • Training on AI-enabled software development for your entire team
  • Run agents remotely/headless for use in CI/CD processes

Copy.ai vs Tabnine FAQ

Which one is cheaper?
Copy.ai starts lower at $29/mo, compared to $39/mo for Tabnine.
Can I use either one for free?
Neither has a free plan.
How do they charge?
Both use a per-seat model, so the comparison is straightforward — it comes down to features and limits at each price point.
Which one is a better deal?
Depends on what you need. Copy.ai: They're not competing on price — $12K/yr to start on team plans puts them squarely in the mid-market SaaS budget conversation, closer to Jasper Business or Writer than to cheap AI writing tools. They're clearly targeting revenue teams at growth-stage and enterprise companies, not freelancers or SMBs. Tabnine: At $39-$59/seat, Tabnine is priced above GitHub Copilot's base tier but is competing on enterprise trust — privacy, on-prem LLM support, and IP indemnification are the real differentiators they're selling, not price. They're going after security-conscious enterprises and regulated industries that can't just plug into a shared cloud model.

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