vLLM
Open-source high-throughput LLM serving engine.
Is vLLM free?
Yes, vLLM has a free plan. What you get: Open source. To get it: go to github.com/vllm-project/vllm; then pip install vllm. Open source (Apache-2.0). Key features: High-throughput serving; OpenAI-compatible API. Best for ML engineers. What it does: open-source high-throughput LLM serving engine. Verified on github.com.
Free plan at a glance
- Includes
- Open source
Open source (Apache-2.0).
- Duration
- Free forever
How to get it free
- Go to github.com/vllm-project/vllm
- pip install vllm
docs.vllm.ai, Checked
Overview
vLLM is an open-source, high-throughput engine for LLM inference and serving, with an OpenAI-compatible server.
Key features
- High-throughput serving
- OpenAI-compatible API
- Multi-hardware support
- Apache-2.0 license
Best for
- People
- ML engineers
Limitations
- Needs your own GPU/accelerator hardware
Screenshot
FAQ
- Is vLLM free?
- Yes. vLLM has a free plan: Open source. We last checked github.com's pricing page on 2026-10-18.
- What does the vLLM free plan include?
- Open source. Source: https://github.com/vllm-project/vllm (checked 2026-10-18).
- How do I get vLLM for free?
- Steps: Go to github.com/vllm-project/vllm; pip install vllm. Steps last checked 2026-10-18.
- How can I serve multiple models on a single port using the OpenAI API?
- See the vLLM FAQ.Source: docs.vllm.ai/en/latest/usage/faq
- Which model to use for offline inference embedding?
- Try e5-mistral-7b-instruct or BAAI/bge-base-en-v1.5.Source: docs.vllm.ai/en/latest/usage/faq
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Sources
- Free offer
- Verified on github.com/vllm-project/vllm
…qwen qwen3 tpu transformer Resources Readme Apache-2.0 license Code of conduct Code of conduct Contributing Contributing Security policy Security policy Activity…
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Checked against
Added by our team. We check that a free option exists and record the date; signing up is between you and vLLM, so read their privacy policy and terms first.
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