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Ollama vs LM Studio
Side-by-side comparison for macOS
Ollama
8.0Get up and running with large language models locally
LM Studio
8.0Discover, download, and run local LLMs
| Metric | Ollama | LM Studio |
|---|---|---|
| Category | Developer Tools | Developer Tools |
| AI Score | 8.0 | 8.0 |
| 30-day Installs | 331 | 5.3K |
| 90-day Installs | 334 | 14.3K |
| 365-day Installs | 334 | 56.0K |
| Version | 0.40.6 | 0.4.26,4 |
| Auto-updates | No | Yes |
| Deprecated | No | No |
| GitHub Stars | 180.7K | 136 |
| GitHub Forks | 17.8K | 28 |
| Open Issues | 4.0K | 2 |
| License | MIT | MIT |
| Language | Go | Python |
| Last GitHub Commit | 1mo ago | 2y ago |
| First Seen | Sep 11, 2026 | Jul 22, 2023 |
Reviews
Ollama
Ollama is a local LLM tool that enables running large language models on your machine. It supports a variety of models and hardware accelerations, making it ideal for developers and enthusiasts.
Runs large language models locally with support for different architectures and models.
Pros
- + Runs models locally for performance and customization
- + Supports a wide range of models
- + Actively developed with frequent updates
Cons
- - No auto-update feature
- - May require setup for optimal use
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