LiteLLM vs vLLM
A side-by-side comparison to help you choose the right tool.
89
LiteLLM scores higher overall (89/100)
But the best choice depends on your specific needs. Compare below.
| Feature | LiteLLM | vLLM |
|---|---|---|
| Our score | 89 | 88 |
| Pricing | Open-source core; paid or managed offerings vary by vendor and deployment path. | Open-source project; infrastructure costs depend on your deployment. |
| Free plan | Yes | Yes |
| Best for | Platform teams managing multiple LLM vendors, Teams that need routing, cost tracking, and guardrails, Developers tired of rewriting provider-specific integrations | Infra teams serving models at scale, Developers optimizing GPU utilization, Organizations running their own inference stack |
| Platforms | mac, windows, linux, api | linux, api |
| API | Yes | Yes |
| Languages | en | en |
| Pros |
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| Cons |
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| Visit site | Visit site |
LiteLLM
89
- Pricing
- Open-source core; paid or managed offerings vary by vendor and deployment path.
- Free plan
- Yes
- Best for
- Platform teams managing multiple LLM vendors, Teams that need routing, cost tracking, and guardrails, Developers tired of rewriting provider-specific integrations
- Platforms
- mac, windows, linux, api
- API
- Yes
- Languages
- en
vLLM
88
- Pricing
- Open-source project; infrastructure costs depend on your deployment.
- Free plan
- Yes
- Best for
- Infra teams serving models at scale, Developers optimizing GPU utilization, Organizations running their own inference stack
- Platforms
- linux, api
- API
- Yes
- Languages
- en
89Choose LiteLLM if:
- You are Platform teams managing multiple LLM vendors
- You are Teams that need routing, cost tracking, and guardrails
- You are Developers tired of rewriting provider-specific integrations
- You want to start free
88Choose vLLM if:
- You are Infra teams serving models at scale
- You are Developers optimizing GPU utilization
- You are Organizations running their own inference stack
- You want to start free
FAQ
- What is the difference between LiteLLM and vLLM?
- LiteLLM is an open-source sdk and gateway that standardizes access to many model providers behind an openai-style or native interface. vLLM is a high-performance open-source inference and serving engine for large language models, built for throughput and efficiency.
- Which is cheaper, LiteLLM or vLLM?
- LiteLLM: Open-source core; paid or managed offerings vary by vendor and deployment path.. vLLM: Open-source project; infrastructure costs depend on your deployment.. LiteLLM has a free plan. vLLM has a free plan.
- Who is LiteLLM best for?
- LiteLLM is best for Platform teams managing multiple LLM vendors, Teams that need routing, cost tracking, and guardrails, Developers tired of rewriting provider-specific integrations.
- Who is vLLM best for?
- vLLM is best for Infra teams serving models at scale, Developers optimizing GPU utilization, Organizations running their own inference stack.