PearAI Overview
PearAI is a versatile standalone tool developed by PearAI, designed to cater to users across various operating systems including Windows, macOS, and Linux. It supports a range of large language models (LLMs) such as GPT-4, GPT-4o, Claude 3 Opus, Llama 3.1 405b, and its proprietary PearAI Model. Notably, it offers a generous context window of 200k tokens, facilitating detailed and extensive text processing. Users benefit from features like multi-file agentic editing, full terminal access, and predictive edits. Privacy is a priority with its Zero Data Retention (ZDR) mode, and it is certified under SOC2 Type II for enterprise use. The pricing structure is flexible, starting from a free tier up to $200 per month, making it accessible for varied user needs.
Pros
- ✓ Supports multiple LLMs including a custom model.
- ✓ Zero Data Retention for enhanced privacy.
- ✓ Free tier available.
- ✓ Seamless migration.
Cons
- ✕ Limited to a 200k token context window.
- ✕ Higher price cap for premium features.
WebStorm Overview
WebStorm, a standalone application developed by JetBrains, is compatible with Windows, macOS, and Linux systems. It supports advanced LLMs such as GPT-5, Gemini 2.0, Llama 4, and Mistral Enterprise. A standout feature is its extensive context window of 1 million tokens, allowing for comprehensive data handling and processing. WebStorm offers multi-file agentic editing, full terminal access, and predictive editing capabilities. While it follows a standard privacy policy, it is also SOC2 Type II certified, ensuring robust security measures for enterprise clients. The pricing is more streamlined, ranging from $8 to $15 per month, but lacks a free tier, which could be a consideration for users on a budget.
Pros
- ✓ Supports advanced LLMs with a large context window.
- ✓ Affordable pricing structure.
- ✓ SOC2 Type II certified.
Cons
- ✕ No free tier available.
- ✕ Requires setup for migration.
Comparison Table
| Feature | PearAI | WebStorm |
|---|---|---|
| Architecture Type | standalone | standalone |
| Supported Os | Windows, macOS, Linux | Windows, macOS, Linux |
| Developer | PearAI | JetBrains |
| Supported Llms | GPT-4, GPT-4o, Claude 3 Opus, Llama 3.1 405b, PearAI Model | GPT-5, Gemini 2.0, Llama 4, Mistral Enterprise |
| Custom Model | PearAI Model | – |
| Context Window | 200k tokens | 1M tokens |
| Agentic Editing | Yes, multi-file | Yes, multi-file |
| Terminal Access | Full | Full |
| Privacy Mode | Zero Data Retention (ZDR) | Standard Privacy Policy |
| Certifications | SOC2 Type II (Enterprise) | SOC2 Type II (Enterprise) |
| About Price | Free – $200/mo | $8 – $15/mo |
| Config File | .pearrc | .aicofig |
| Migration | Seamless | Requires setup |
Conclusion
Both PearAI and WebStorm offer robust features and support for multiple LLMs, making them suitable for a range of users. PearAI’s Zero Data Retention policy and free tier are attractive for privacy-conscious and budget-sensitive users. In contrast, WebStorm’s extensive context window and competitive pricing provide great value for users needing powerful processing capabilities. The choice between them will depend on specific needs regarding privacy, budget, and technical requirements.