The deciding difference is operational: LiteLLM can run on infrastructure you control, DeepSeek cannot. If that constraint is real for you, it settles the choice before anything else is considered.
Strong reasoning and coding at a fraction of frontier pricing, with the weights published so you can move off the API later.
OpenAI-compatible, so it is a base-URL swap. The open weights are the real hedge: if the hosted API is ever unacceptable, the same model runs on vLLM.
Self-hosted proxy that speaks one API to 100+ providers, with keys and budgets.
Give every agent its own virtual key so you can attribute and cap spend per surface.
| DeepSeek | LiteLLM | |
|---|---|---|
| Licence | Proprietary | Open source |
| Pricing | usage based | open source |
| Self-hostable | No | Yes |
| Languages | TypeScript, Python | Python, TypeScript |
| Install | — | pip install 'litellm[proxy]' |
| Keys required | DEEPSEEK_API_KEY | None |
The deciding difference is operational: LiteLLM can run on infrastructure you control, DeepSeek cannot. If that constraint is real for you, it settles the choice before anything else is considered. DeepSeek: Strong reasoning and coding at a fraction of frontier pricing, with the weights published so you can move off the API later. LiteLLM: Self-hosted proxy that speaks one API to 100+ providers, with keys and budgets.
DeepSeek is a hosted service only. LiteLLM can run on your own infrastructure.
DeepSeek is proprietary (usage based). LiteLLM is open source (open source).
Every page here answers to Accept: text/markdown and returns the same content at roughly a tenth the tokens. No separate site, no toggle — same URL.
curl -s -H "Accept: text/markdown" https://newagent.build/compare/deepseek-vs-litellm