JetBrains AI Assistant vs Gemini
Detailed comparison of features, performance, and use cases
90/100
JetBrains AI Assistant
Integrated AI coding assistant built into JetBrains IDEs, offering context-aware suggestions and explanations.
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.
85/100
Gemini
Google's AI with multimodal capabilities and integration with Google services.
Quick Verdict
Gemini excels at google ecosystem and web development with a score of 85/100. Gemini shines within Google's ecosystem, especially for web development and cloud services.
Technical Specifications
| Feature | JetBrains AI Assistant | Gemini |
|---|---|---|
| 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). | Gemini is a family of multimodal models developed by Google DeepMind, including Gemini 2.5 Pro, Gemini 2.5 Flash, Gemini 2.0, and Gemini Nano. |
| 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 by model. For instance, Gemini 1.5 Pro supports a context window of up to 2 million tokens. |
| 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. | Gemini is primarily a cloud-based service available via its web interface and the Gemini API. An on-premises solution is becoming available through Google Distributed Cloud (GDC), which allows organizations to run Gemini models in their own data centers, including in air-gapped environments. |
| 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, Gemini is a cloud-based service and requires an internet connection. The on-premise GDC deployment still requires the managed hardware solution and is not a standalone offline application. |
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
Gemini Features
- Export to Google Docs and Colab
- Integration with Google Workspace and services
- Multimodal understanding for diagrams and code
- Real-time web access for latest documentation
Pricing & Value Analysis
| Aspect | JetBrains AI Assistant | Gemini |
|---|---|---|
| Pricing URL | View JetBrains AI Assistant Pricing | View Gemini Pricing |
| Overall Score | 90/100 | 85/100 |
| Best For | JetBrains IDE Users, Enterprise Development, Code Refactoring | Google Ecosystem, Web Development, Documentation |
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
Gemini Excels At
- Google Cloud development with integrated access to GCP documentation and best practices
- Web development projects with real-time access to the latest framework documentation and examples
- Educational content creation by exporting code explanations and tutorials to Google Docs and Colab
Performance & Integration
| Category | JetBrains AI Assistant | Gemini | Winner |
|---|---|---|---|
| IDE Support | Fully integrated with the suite of JetBrains IDEs, including IntelliJ IDEA, PyCharm, WebStorm, CLion, ReSharper, and others. | Google offers official Gemini extensions for VS Code and the JetBrains suite of IDEs. | 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 Gemini 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 Gemini if: you prioritize google ecosystem and web development and don't mind a slightly lower score for specialized features.