Choose a local AI runner by how you want to use it. LM Studio and Jan give you desktop interfaces; llama.cpp exposes lower-level inference tools. All three can serve local models, but a comfortable chat app and a configurable inference engine solve different jobs.
Moving away from Ollama does not automatically improve answers. Model weights, quantization, context size and hardware still determine much of the result. Use a representative prompt and the same model where supported before deciding. This comparison covers documented workflows, not measured speed or answer quality.
A free application still uses memory, disk space and electricity. Download models before relying on offline use, check their licenses, and distinguish local inference from any optional hosted provider you connect. The official sources below document each path.