vLLM is an inference and serving engine built for throughput rather than single-user convenience. It uses paged attention and continuous batching to serve many concurrent requests efficiently on GPU hardware, and exposes an OpenAI-compatible API so existing clients work unchanged. It is the layer you reach for when a local model needs to serve an application or a team rather than one person at a terminal.
Pricing: Free
Serving open-weights models to an application or team
Ten dimensions, each out of 5. Nine are editorial; the tenth, Demand, is calculated from how often this page is actually read and is refreshed weekly. Full methodology
The marker shows the average for the AI Coding & Dev category (20 tools)
Overall 4.3 / 5 · reviewed 14 Aug 2026
Free Plans and prices change often, so we link to the source rather than repeat a figure that may already be wrong.
View current pricing on github.com →Visit the official website to get started — most tools have a free plan or free trial.
🚀 Try vLLM Now →Browser IDE where an AI agent builds and deploys full apps
Git-native AI pair programming in your terminal
AI-first code editor with full-codebase context and multi-file edits
Run open-weights AI models locally on your own machine
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