Written by Jakub Rusinowski · Last updated July 10, 2026
vLLM's V1 engine is now the default, its server speaks the OpenAI and Anthropic APIs out of the box, and independent 2026 benchmarks put it 2–29× ahead of Ollama under concurrent load. Here's what changed this year, how it works in plain terms, and exactly when it's the right tool — and when Ollama or LM Studio still win.
For most people running AI on their own hardware, the default answer is Ollama or LM Studio — download an installer, pull a model, start chatting. That advice hasn't changed, and for a single user it's still the right call. But there's a second engine that comes up the moment you stop chatting by yourself and start serving a model to an app, a team, or a batch pipeline: vLLM. In 2026 it's had a genuinely busy year — a re-architected engine became the default, its API surface grew well beyond OpenAI compatibility, and a fresh round of independent benchmarks put hard numbers on just how far ahea…