Side-by-side comparison · apps and saas, open source
llama.cpp vs Rapid-MLX
What we have checked about each, line by line. Every value shows where it came from and when we last confirmed it.
Apps and SaaS
llama.cpp
LLM inference in C/C++
Open Source
Rapid-MLX
The fastest local AI engine for Apple Silicon. 4.2x faster than Ollama, 0.08s cached TTFT, 100% tool calling. 17 tool parsers, prompt cache, reasoning separation, cloud routing.
Checked facts
Line by line
| Measure | llama.cpp | Rapid-MLX |
|---|---|---|
| Latest version | Not checked yet | 0.16.8 (for 22 Oct 2026) |
| Days since the last commit | 0 | Not checked yet |
| GitHub forks | 24,837 | Not checked yet |
| GitHub stars | 132,422 | 3,845 |
| Open issues | 781 | Not checked yet |
| Releases in the last 90 days | 100 | Not checked yet |
A line appears only when at least one record has a value we confirmed from a source. Values we have not confirmed are left out, never guessed. Records of different types share fewer lines.
Add a third
Compare with one more record
How this works
Share it, or build your own
This page works for any two or three records in the directory, of any type. The link stays the same whichever order you name them in, so you can share it as it is. Change the records in the address, for example /directories/vs/claude-code-vs-cursor, or start from our editorial comparisons.