WebLLM vs Ollama vs LM Studio
Choose the right local AI path before installing heavy tools or paying for API tests.
Best fit summary
WebLLM is strongest when a visitor wants a no-install browser demo. Ollama is strongest for developer workflows and local APIs. LM Studio is strongest for desktop users who want a visual model manager. Treat all performance claims as device-dependent.
Use WebLLM when
You want a browser-only demo, a shareable prompt tester, no account flow, and a small local model that can run after a manual download. It depends on WebGPU support and browser memory.
Use Ollama when
You want a local API server, terminal workflow, repeatable model pulls, and integration with developer tools. It requires local installation and user setup.
Use LM Studio when
You want a GUI for GGUF models, local chat, server mode, and model experimentation on a desktop GPU. It is better for heavier local models than a browser MVP.
Bluesky workflow
Start with Local AI Radar, test a prompt in Local Prompt Tester, then move heavy long-form workflows to LM Studio or Ollama if the browser test is too slow.
Editorial note
This guide is an implementation-oriented overview, not a benchmark guarantee. Browser-local AI behavior changes by browser, GPU, memory, model, cache and network conditions. Keep public claims conservative and test on real devices before launch.