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vMLX vs LM Studio
Side-by-side comparison for macOS
vMLX
7.5Run local AI models on Apple Silicon
LM Studio
8.0Discover, download, and run local LLMs
| Metric | vMLX | LM Studio |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 7.5 | 8.0 |
| 30-day Installs | 195 | 6.1K |
| 90-day Installs | 296 | 18.9K |
| 365-day Installs | 296 | 48.4K |
| Version | 1.5.67 | 0.4.18,1 |
| Auto-updates | Yes | Yes |
| Deprecated | No | No |
| GitHub Stars | 567 | 136 |
| GitHub Forks | 66 | 28 |
| Open Issues | 36 | 2 |
| License | Apache-2.0 | MIT |
| Language | Python | Python |
| Last GitHub Commit | 1mo ago | 2y ago |
| First Seen | Jun 1, 2026 | Jul 22, 2023 |
Reviews
vMLX
vMLX is a tool for running local AI models optimized for Apple Silicon, offering features like disk caching and scheduling. It benefits developers and data scientists working on machine learning projects.
vMLX enables running local AI models on Apple Silicon-based Macs.
Pros
- + Optimized for Apple Silicon for better performance
- + Supports local AI model execution
- + Active development with recent updates
- + Open-source under Apache-2.0 license
- + Features like disk caching enhance reliability
Cons
- - Low recent installs indicating niche adoption
- - Some functionalities are requested but not yet implemented
LM Studio
LM Studio simplifies discovering, downloading, and running local large language models, catering to developers and data privacy enthusiasts who prefer on-prem AI solutions.
LM Studio allows users to discover, download, and run local large language models.
Pros
- + Simplifies discovery and management of local LLMs
- + Supports various models and architectures
- + Auto-updates ensure the latest features and bug fixes
Cons
- - Occasional bugs reported by users
- - Primarily suited for technically inclined users