ChatGPT Classic vs ChatGPT
Side-by-side comparison for macOS
ChatGPT Classic
6.0OpenAI's previous ChatGPT desktop app
ChatGPT
8.0OpenAI's official ChatGPT desktop app
| Metric | ChatGPT Classic | ChatGPT |
|---|---|---|
| Category | Productivity | Productivity |
| AI Score | 6.0 | 8.0 |
| 30-day Installs | 963 | 13.2K |
| 90-day Installs | 3.5K | 33.9K |
| 365-day Installs | 3.5K | 83.9K |
| Version | 1.2026.184,1784145287 | 26.831.11858 |
| Auto-updates | Yes | Yes |
| Deprecated | No | No |
| GitHub Stars | — | 54.4K |
| GitHub Forks | — | 6.2K |
| Open Issues | — | 921 |
| License | — | — |
| Language | — | Rust |
| Last GitHub Commit | — | 2y ago |
| First Seen | Jul 12, 2026 | May 14, 2024 |
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
ChatGPT
ChatGPT offers a seamless desktop experience for OpenAI's AI chatbot, providing direct access to its powerful features. Ideal for users needing quick, integrated access to ChatGPT for tasks like writing, brainstorming, or problem-solving.
Provides a desktop interface for interacting with OpenAI's ChatGPT AI chatbot.
Pros
- + Official OpenAI support ensures seamless integration with their services.
- + Desktop interface offers convenience and efficiency for regular users.
- + Active development and community engagement suggest ongoing improvements.
Cons
- - Open issues, particularly bugs, may affect user experience.
- - Lack of community discussion on Reddit could indicate less diverse user engagement.