Devin: A Comprehensive Cloud-Based Solution
Devin is a robust cloud architecture tool designed for seamless integration across various operating systems, including Windows, macOS, and Linux. Developed by Devin, this tool supports a wide range of large language models, such as GPT-6, GPT-5, Claude 4.5, and Gemini 3.0. It features a custom model called Devin-Planner, offering a substantial context window of over 10 million tokens. While local inference is not supported, Devin excels in agentic editing with multi-file capabilities and provides full terminal access. It also boasts predictive edits, enhancing the efficiency of editing processes. With a standard privacy mode and SOC2 Type II certification for enterprise-level security, Devin is a reliable choice for organizations. Although there is no free tier, and pricing details are available upon contacting sales, the tool requires initial setup for migration, underscoring its comprehensive nature.
Pros
- ✓ Supports a wide range of LLMs.
- ✓ Strong security with SOC2 Type II certification.
- ✓ Full terminal access and predictive edits.
Cons
- ✕ Does not support local inference.
- ✕ No free tier available.
- ✕ Requires setup for migration.
Gemini CLI: The Versatile Standalone Tool
Gemini CLI, developed by Google, offers a standalone architecture that supports various operating systems like Windows, macOS, and Linux. It accommodates Gemini 2.5 Pro and Gemini 2 large language models, providing a context window of up to 1 million tokens. Unlike Devin, Gemini CLI supports local inference, making it an ideal choice for offline operations. It also supports agentic editing across multiple files and provides full terminal access, along with predictive edits. With a standard privacy policy and SOC2 Type II certification, Gemini CLI ensures data security and privacy. It offers a free tier, with an option to upgrade to a Pro version, and features seamless migration, making it user-friendly and cost-effective for individuals and organizations alike.
Pros
- ✓ Supports local inference.
- ✓ Offers a free tier.
- ✓ Seamless migration process.
Cons
- ✕ Limited context window compared to Devin.
- ✕ Fewer supported LLMs.
- ✕ No custom model feature.
Comparison Table
| Feature | Devin | Gemini CLI |
|---|---|---|
| Architecture Type | cloud | standalone |
| Supported Os | Windows, macOS, Linux | Windows, macOS, Linux |
| Developer | Devin | |
| Supported Llms | GPT-6, GPT-5, Claude 4.5, Gemini 3.0 | Gemini 2.5 Pro, Gemini 2 |
| Custom Model | Devin-Planner | – |
| Context Window | 10M+ tokens | 1M tokens |
| Agentic Editing | Yes, multi-file | Yes, multi-file |
| Terminal Access | Full | Full |
| Privacy Mode | Standard Privacy Policy | Standard Privacy Policy |
| Certifications | SOC2 Type II (Enterprise) | SOC2 Type II (Enterprise) |
| About Price | Contact Sales | Free/Pro |
| Config File | .devinrc | GEMINI.md |
| Migration | Requires setup | Seamless |
Conclusion
Both Devin and Gemini CLI offer unique strengths tailored to different user needs. Devin’s cloud-based infrastructure and extensive LLM support cater to enterprise-level applications, whereas Gemini CLI provides flexibility with local inference and a free tier, appealing to a broader user base. The choice between them depends on specific requirements, such as the need for local inference or the preference for a cloud solution with a wide model range.