Two things:

1. Because the support in llama.cpp is horizontal integrated within ggml ecosystem, we can optimize it to run even faster than ollama.

For example, pixtral/mistral small 3.1 model has some 2D-RoPE trick that use less memory than ollama's implementation. Same for flash attention (which will be added very soon), it will allow vision encoder to run faster while using less memory.

2. llama.cpp simply support more models than ollama. For example, ollama does not support either pixtral or smolvlm