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vLLM: the best Open Source alternative to OpenAI API in 2026
vLLM is a high-performance inference engine for serving large-scale language models with maximum throughput, exposing an OpenAI-compatible API for production.
Technical profile
- License
- Apache-2.0
- Category
- Artificial Intelligence
- Replaces
- OpenAI API
- Tech stack
- PythonCUDA
Key features
- Much higher throughput thanks to PagedAttention
- OpenAI-compatible API
- Supports dozens of model architectures
vLLM vs. OpenAI API
Pros
- Purpose-built for serving LLMs in production at scale
Things to consider
- Requires a GPU with enough VRAM for the chosen model
Quick Docker installation guide
Copy this docker-compose.yml, adjust the example passwords and run docker compose up -d on your server. See the full step-by-step guide →
docker-compose.yml
version: "3.9"
services:
vllm:
image: vllm/vllm-openai:latest
restart: unless-stopped
ports:
- "8000:8000"
command: ["--model", "mistralai/Mistral-7B-Instruct-v0.2"]
volumes:
- vllm_cache:/root/.cache/huggingface
volumes:
vllm_cache: