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← Back to JetBrains AI Overview

JetBrains AI Pricing & Plans 2026

Complete pricing guide for JetBrains AI. Compare all plans, analyze costs, and find the perfect tier for your needs.

Try JetBrains AI Free →Compare Plans ↓

Not sure if free is enough? See our Free vs Paid comparison →
Still deciding? Read our full verdict on whether JetBrains AI is worth it →

🆓Free Tier Available
💎4 Paid Plans
⚡No Setup Fees

Choose Your Plan

Free

$0

mo

  • ✓Limited monthly credits for cloud-routed models, unlimited use of locally-hosted JetBrains models, basic AI Assistant features inside supported IDEs.
Start Free Trial →

AI Pro

From $10/month

mo

  • ✓Expanded cloud model quota across Claude, GPT, and Gemini, full AI Assistant feature set, access to Junie agent with usage limits, multi-IDE coverage.
Start Free Trial →
Most Popular

AI Ultimate

From $20/month

mo

  • ✓Substantially higher cloud model quotas, more generous Junie agent usage, priority access to new models and features, intended for heavy daily users.
Start Free Trial →

Enterprise

Custom

mo

  • ✓SSO, audit logging, centralized admin controls, data-residency options, training opt-out, volume licensing across IntelliJ, PyCharm, and other JetBrains IDEs.
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Pricing sourced from JetBrains AI · Last verified March 2026

Feature Comparison

FeaturesFreeAI ProAI UltimateEnterprise
Limited monthly credits for cloud-routed models, unlimited use of locally-hosted JetBrains models, basic AI Assistant features inside supported IDEs.✓✓✓✓
Expanded cloud model quota across Claude, GPT, and Gemini, full AI Assistant feature set, access to Junie agent with usage limits, multi-IDE coverage.—✓✓✓
Substantially higher cloud model quotas, more generous Junie agent usage, priority access to new models and features, intended for heavy daily users.——✓✓
SSO, audit logging, centralized admin controls, data-residency options, training opt-out, volume licensing across IntelliJ, PyCharm, and other JetBrains IDEs.———✓

Is JetBrains AI Worth It?

✅ Why Choose JetBrains AI

  • • Native IDE integration leverages JetBrains' deep code analysis for more accurate and contextual suggestions than standalone AI tools, understanding your entire project architecture
  • • Project-aware code generation follows your existing architecture, conventions, and patterns automatically without manual adjustment, ensuring consistency across large codebases
  • • Supports all major JetBrains IDEs including IntelliJ IDEA, PyCharm, WebStorm, GoLand, and Rider with language-specific optimizations for professional development workflows
  • • Comprehensive MCP (Model Context Protocol) support enables extensible AI tool integrations and workflow customization with external systems and databases
  • • No context-switching required — AI assistance is embedded directly in your familiar development environment, preserving productivity and workflow efficiency
  • • Excellent for enterprise development with understanding of complex architectural patterns, dependency injection, and cross-module relationships

⚠️ Consider This

  • • Requires a JetBrains IDE subscription plus separate AI subscription, making total cost significant ($120-720+ per user annually depending on tier)
  • • Limited to JetBrains ecosystem — not available for VS Code, Vim, Sublime Text, or other popular editors, requiring commitment to JetBrains tools
  • • AI-generated code still requires careful review for security vulnerabilities, logic errors, and architectural consistency, especially in enterprise environments
  • • Effectiveness varies by programming language — strongest for Java/Kotlin/Python, less refined for niche or newer languages and frameworks
  • • Learning curve for developers not familiar with JetBrains IDEs, requiring dual adoption of both AI capabilities and sophisticated IDE features

What Users Say About JetBrains AI

👍 What Users Love

  • ✓Native IDE integration leverages JetBrains' deep code analysis for more accurate and contextual suggestions than standalone AI tools, understanding your entire project architecture
  • ✓Project-aware code generation follows your existing architecture, conventions, and patterns automatically without manual adjustment, ensuring consistency across large codebases
  • ✓Supports all major JetBrains IDEs including IntelliJ IDEA, PyCharm, WebStorm, GoLand, and Rider with language-specific optimizations for professional development workflows
  • ✓Comprehensive MCP (Model Context Protocol) support enables extensible AI tool integrations and workflow customization with external systems and databases
  • ✓No context-switching required — AI assistance is embedded directly in your familiar development environment, preserving productivity and workflow efficiency
  • ✓Excellent for enterprise development with understanding of complex architectural patterns, dependency injection, and cross-module relationships
  • ✓Strong debugging assistance that understands execution context, variable states, and runtime behavior for targeted problem-solving approaches

👎 Common Concerns

  • ⚠Requires a JetBrains IDE subscription plus separate AI subscription, making total cost significant ($120-720+ per user annually depending on tier)
  • ⚠Limited to JetBrains ecosystem — not available for VS Code, Vim, Sublime Text, or other popular editors, requiring commitment to JetBrains tools
  • ⚠AI-generated code still requires careful review for security vulnerabilities, logic errors, and architectural consistency, especially in enterprise environments
  • ⚠Effectiveness varies by programming language — strongest for Java/Kotlin/Python, less refined for niche or newer languages and frameworks
  • ⚠Learning curve for developers not familiar with JetBrains IDEs, requiring dual adoption of both AI capabilities and sophisticated IDE features
  • ⚠Performance impact on older machines when running both sophisticated IDE features and AI analysis simultaneously, requiring adequate hardware resources

Pricing FAQ

Which JetBrains IDEs support JetBrains AI?

JetBrains AI is supported across the full commercial IDE lineup, including IntelliJ IDEA, PyCharm, WebStorm, GoLand, Rider, PhpStorm, RubyMine, CLion, RustRover, and DataGrip, as well as the Android Studio plugin variant. Both AI Assistant and the Junie agent are available in these environments, though some features roll out to specific IDEs first before becoming generally available.

Can I choose which underlying AI model is used?

Yes. JetBrains AI is model-agnostic and lets you route requests to Anthropic Claude, OpenAI GPT, and Google Gemini models, as well as JetBrains-hosted local models for offline use. You can switch models per chat or task, which is useful for balancing latency, cost, and answer quality for different kinds of work.

How does JetBrains AI handle source code privacy?

JetBrains states that customer code is not used to train third-party models, and enterprise customers can opt out of all data collection. Local models keep code entirely on-device, and cloud-routed requests can be configured with data-residency preferences. Admins also have access to audit logs and centralized policy controls.

What is Junie and how is it different from AI Assistant?

AI Assistant is the inline and chat-based helper that handles completion, code generation, refactoring suggestions, and conversational Q&A. Junie is JetBrains' agentic coding companion that takes a higher-level task description, plans a sequence of edits, executes them across multiple files, runs tests, and iterates autonomously while you supervise from the IDE.

Does JetBrains AI support Model Context Protocol (MCP)?

Yes, JetBrains AI ships with comprehensive MCP support, allowing teams to connect custom MCP servers for internal documentation, issue trackers, databases, deployment systems, and proprietary tooling. This lets the assistant reason about organization-specific context that is not present in the public training data of the underlying models.

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