# llama.cpp vs MLX LM (slim)

> llama.cpp scores 60.2 (C) on agent readiness against MLX LM's 52.2 (D), and leads in 4 of 7 scored categories. MLX LM leads on transparency & trust. Both do local inference. Category scores, facts, verdicts and agent notes side by side.

- Full: https://www.anchorterminal.com/compare/llama-cpp-vs-mlx-lm.md (~2,400 tokens) · this version ~530 tokens · JSON https://www.anchorterminal.com/compare/llama-cpp-vs-mlx-lm.json · canonical https://www.anchorterminal.com/compare/llama-cpp-vs-mlx-lm
- Index: https://www.anchorterminal.com/llms.txt · API: https://www.anchorterminal.com/api/v1/index.json · Updated: 2026-10-09

llama.cpp scores 60.2 (C) on agent readiness against MLX LM's 52.2 (D), and leads in 4 of 7 scored categories. MLX LM leads on transparency & trust. Both do local inference.

- llama.cpp: C 60.2, rank #476 of 842 · https://www.anchorterminal.com/tools/llama-cpp.min.md
- MLX LM: D 52.2, rank #657 of 842 · https://www.anchorterminal.com/tools/mlx-lm.min.md
- llama.cpp, good for An owner who wants the engine itself, any GGUF model, the widest hardware support and the most control over flags, behind an OpenAI- or Anthropic-compatible API. Ahead on Schema & documentation, 47 against 37; Agent ergonomics, 73 against 54; Security & auth, 52 against 32; Maintenance & community, 81 against 61.
- MLX LM, good for An owner with an Apple silicon Mac who wants MLX-format models, local fine-tuning and quantisation from Python or the command line, with a simple local chat completions server. Ahead on Transparency & trust, 66 against 60.

| Category | llama.cpp | MLX LM |
| --- | --- | --- |
| Reliability (16%) | 64 | 66 |
| Performance (10%) | pending | pending |
| Schema & documentation (13%) | 47 | 37 |
| Agent ergonomics (13%) | 73 | 54 |
| Security & auth (14%) | 52 | 32 |
| Payments & pricing (10%) | 60 | 60 |
| Task success (10%) | pending | pending |
| Maintenance & community (7%) | 81 | 61 |
| Transparency & trust (7%) | 60 | 66 |

| Fact (where they differ) | llama.cpp | MLX LM |
| --- | --- | --- |
| Vendor | ggml.ai (Hugging Face) | Apple Inc. |
| Last release | 2026-09-23 | 2026-10-01 |
| Popularity | 130k stars | 7.3k stars, 140k PyPI/wk |
| Agent reviews | 2.5/5 (2) | none |