ChatGPT Classic vs Cherry Studio
Side-by-side comparison for macOS
ChatGPT Classic
6.0OpenAI's previous ChatGPT desktop app
Cherry Studio
8.0Desktop client that supports multiple LLM providers
| Metric | ChatGPT Classic | Cherry Studio |
|---|---|---|
| Category | Productivity | Productivity |
| AI Score | 6.0 | 8.0 |
| 30-day Installs | 963 | 777 |
| 90-day Installs | 3.5K | 1.8K |
| 365-day Installs | 3.5K | 9.6K |
| Version | 1.2026.184,1784145287 | 2.0.10 |
| Auto-updates | Yes | Yes |
| Deprecated | No | No |
| GitHub Stars | — | 41.2K |
| GitHub Forks | — | 3.8K |
| Open Issues | — | 682 |
| License | — | AGPL-3.0 |
| Language | — | TypeScript |
| Last GitHub Commit | — | 5mo ago |
| First Seen | Jul 12, 2026 | Feb 5, 2025 |
Reviews
ChatGPT Classic
ChatGPT Classic offers OpenAI's previous version of ChatGPT as a desktop app, appealing to users seeking a more reliable or familiar experience. It provides a local interface for interacting with the language model, benefiting those who prefer consistency over newer features.
Provides a desktop interface for interacting with OpenAI's ChatGPT language model.
Pros
- + Familiar interface for ChatGPT users
- + Potential for better performance or features compared to newer versions
- + Reliable option for consistent experience
Cons
- - Limited adoption and community support
- - May lack newer features or improvements
Cherry Studio
Cherry Studio is a desktop client that supports multiple large language model (LLM) providers, offering a comprehensive AI productivity suite with features like smart chat, autonomous agents, and access to over 300 assistants. It's ideal for professionals seeking to integrate AI tools across various applications.
Cherry Studio provides a unified desktop interface for interacting with multiple LLMs, enabling users to leverage AI capabilities across different applications.
Pros
- + Supports multiple LLM providers, offering versatile AI integration
- + Comprehensive AI productivity features including smart chat and autonomous agents
- + Active development and strong community engagement
Cons
- - High number of open GitHub issues suggesting areas needing improvement
- - Limited discussion in broader developer communities