JetBrains AI Assistant vs ChatGPT
JetBrains AI Assistant
Quick Verdict
JetBrains AI Assistant excels at jetbrains ide users and enterprise development with a score of 90/100. JetBrains AI Assistant leverages the deep IDE integration and powerful static analysis capabilities of JetBrains tools.
ChatGPT
Quick Verdict
ChatGPT excels at code generation and learning & education with a score of 85/100. ChatGPT's conversational interface makes it exceptionally accessible for developers of all skill levels.
đ Visual Score Comparison
Side-by-side comparison of key performance metrics across six evaluation criteria
Technical Specifications
Feature | JetBrains AI Assistant | ChatGPT |
---|---|---|
Core AI Model(s) | JetBrains AI Assistant uses a combination of models. It leverages its own proprietary LLM, Mellum, which is optimized for coding. It also provides access to third-party cloud models from providers like OpenAI, Google (Gemini 2.5 Pro), and Anthropic (Claude 3.7 Sonnet). | ChatGPT utilizes a range of OpenAI's models, including the GPT-4 series (GPT-4o, GPT-4.1) and the o-series for reasoning (o1, o3, o4-mini). The specific model used can vary based on the user's subscription plan (Free, Plus, Pro, Enterprise) and the selected mode. |
Context Window | The assistant is deeply integrated into the IDE and is context-aware, using information from the current project, including language versions, libraries, and related files, to generate more accurate prompts and suggestions. | The context window varies significantly by model and subscription tier. API and Enterprise users can access up to a 128k or 200k token context window with models like GPT-4o and o3. However, for users of the standard ChatGPT Plus web interface, the effective context window is often smaller (around 32k tokens), with larger documents being handled via Retrieval-Augmented Generation (RAG). |
Deployment Options | The AI Assistant is available as a plugin within JetBrains' commercial IDEs. For enterprise customers with strict data privacy needs, an on-premises solution is available through IDE Services, which can run in an air-gapped environment using local models like Llama 3.1 via Hugging Face. | ChatGPT is primarily a cloud-based SaaS application. While a full on-premise deployment of ChatGPT is not offered, businesses can use the OpenAI API to integrate the models into their own applications. For enterprises with strict privacy needs, solutions like Azure OpenAI or third-party platforms enable private cloud or on-premise knowledge stores that can connect to OpenAI's models. |
Offline Mode | Yes, JetBrains AI Assistant supports an offline mode. Users can connect to locally hosted models through tools like Ollama or LM Studio, allowing most AI features to function without an internet connection. However, some advanced features like multi-file edits are not available in offline mode. | No, ChatGPT requires a constant internet connection to function as it is a cloud-based service. There are open-source, third-party applications that allow users to run different, smaller language models offline, but these are not the official ChatGPT models. |
Core Features Comparison
JetBrains AI Assistant Features
- Context-aware code completion within JetBrains IDEs
- Code explanation and documentation generation
- Refactoring suggestions based on best practices
- Integration with JetBrains' powerful development tools
ChatGPT Features
- Conversational code assistance and debugging
- Code generation from natural language descriptions
- Multi-language programming support
- Code explanation and learning assistance
Pricing & Value Analysis
Aspect | JetBrains AI Assistant | ChatGPT |
---|---|---|
Pricing URL | View JetBrains AI Assistant Pricing | View ChatGPT Pricing |
Overall Score | 90/100 | 85/100 |
Best For | JetBrains IDE Users, Enterprise Development, Code Refactoring | Code Generation, Learning & Education, Problem Solving |
Best Use Cases
JetBrains AI Assistant Excels At
- Automated commit message generation based on code changes and project context
- Complex refactoring operations with AI understanding of code dependencies and design patterns
- Code explanation and documentation for team knowledge sharing and onboarding new developers
ChatGPT Excels At
- Data analysis and visualization with code interpreter capabilities for processing files and generating charts
- Learning new programming concepts through interactive coding sessions and detailed explanations
- Rapid prototyping and algorithm development by converting natural language requirements into working code
Performance & Integration
Category | JetBrains AI Assistant | ChatGPT | Winner |
---|---|---|---|
IDE Support | Fully integrated with the suite of JetBrains IDEs, including IntelliJ IDEA, PyCharm, WebStorm, CLion, ReSharper, and others. | ChatGPT does not have an official, first-party IDE extension. However, its functionality is widely integrated into numerous IDEs (like VS Code, JetBrains, etc.) through third-party extensions that utilize the OpenAI API. | Tie |
Community | Active community | Active community | Tie |
Data Richness | Comprehensive | Comprehensive | Tie |
Overall Score | 90/100 | 85/100 | JetBrains AI Assistant |
The Bottom Line
Both JetBrains AI Assistant and ChatGPT are capable AI coding tools, but they serve different needs. JetBrains AI Assistant scores higher (90/100 vs 85/100) and excels in jetbrains ide users and enterprise development. The choice depends on your specific workflow, team size, and technical requirements.
Choose JetBrains AI Assistant if: you prioritize jetbrains ide users and enterprise development and want the higher-rated option (90/100).
Choose ChatGPT if: you prioritize code generation and learning & education and don't mind a slightly lower score for specialized features.