LiteLLM vs Portkey
Last verified: June 2026· LLM routing & gateways
Both are AI gateways with routing, caching, and observability. LiteLLM is open-source-first; Portkey is a commercial gateway with a managed offering. The trade is between self-hosted control and managed convenience plus enterprise features.

At a glance
LiteLLM
- Model
- Open-source, self-hostable
- Routing & fallback
- Configurable in code/config
- Guardrails
- Integrations, DIY
Portkey
- Model
- Commercial gateway (hosted + self-host options)
- Routing & fallback
- Configurable via console + API
- Guardrails
- Built-in guardrails and governance
Full comparison
| LiteLLM | Portkey | |
|---|---|---|
| Model | Open-source, self-hostable | Commercial gateway (hosted + self-host options) |
| Routing & fallback | Configurable in code/config | Configurable via console + API |
| Guardrails | Integrations, DIY | Built-in guardrails and governance |
| Observability | Self-hosted + integrations | Built-in analytics |
| Cost | Open-source core | Usage / seat pricing |
Which should you choose?
LiteLLM fits teams that want to own the gateway and avoid per-request fees; Portkey fits teams that want governance and analytics out of the box and will pay for the managed experience.
How much gateway do you actually need
Both sit between your application and the model providers, and the meaningful difference is how much of the surrounding platform comes with them. One is primarily a normalisation and routing layer you compose with your own observability and governance; the other bundles more of that platform. The right choice depends on how much of the surrounding stack you already have and intend to keep.
A team with an existing tracing stack, an existing secrets story and an existing way of managing cost attribution usually wants the thinner thing, because a bundled platform duplicates what they run and creates two places to look during an incident. A team with none of those, and no platform engineer to build them, gets more value from the bundle than from assembling the pieces — provided they are comfortable with where that platform runs and what it sees.
The question worth asking before either is what you would do if the component failed. A gateway sits on the critical path of every model call, so its availability becomes your availability. If you run it yourself, that means capacity, upgrades and an on-call rotation. If it is managed, it means a dependency you cannot fix at three in the morning. Both are acceptable answers and neither is free, which is why the decision belongs to whoever owns production rather than to whoever is choosing the SDK.
Where each one genuinely wins
- Portkey genuinely wins when you want gateway, observability and governance as one managed thing and do not have the team to assemble them. Arriving with the surrounding platform already built is worth a lot when the alternative is six weeks of integration work you cannot staff.
- LiteLLM genuinely wins on composability and control. If you already run your own observability and want the gateway to be a thin, replaceable component inside your infrastructure, a library you operate is a better fit than a platform that expects to own that layer.
Frequently asked questions
What's the difference between LiteLLM and Portkey?
Both are AI gateways with routing, caching, and observability. LiteLLM is open-source-first; Portkey is a commercial gateway with a managed offering. The trade is between self-hosted control and managed convenience plus enterprise features.
Which should I choose, LiteLLM or Portkey?
LiteLLM fits teams that want to own the gateway and avoid per-request fees; Portkey fits teams that want governance and analytics out of the box and will pay for the managed experience.