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Comparison

llama.cpp vs vLLM

A like-for-like, spec-level comparison. Both entries are verified against their docs and repo.

llama.cpp

C/C++ inference for GGUF models on any hardware.

  • + Runs on almost any hardware, including CPU-only
  • + Defines the widely-used GGUF format
  • − Lower-level than managed servers
  • − Performance tuning requires quantization knowledge

vLLM

High-throughput self-hosted LLM serving engine.

  • + Industry-standard throughput and batching
  • + Broad model and hardware support
  • − Requires GPU ops expertise to run well
  • − Configuration surface is large
Spec llama.cpp vLLM
Role Inference engine Inference engine
Tags inference-engine inference-engine
License MIT Apache-2.0
Open source Yes Yes
Self-hostable Yes Yes
MCP support No No
Pricing free free
Price Free Free
Usage cost No model cost No model cost
Models local, multi multi
Languages cpp python
GitHub stars 119.2k 85.3k
Last activity 2026-07-03 2026-07-04