Not every team needs an inference control plane
Choose based on the responsibility you want to own. InferCrane is designed for teams that want control of their infrastructure or existing inference stack without building the operational layer from scratch.InferCrane and managed platforms
Baseten and Modal offer managed compute and highly integrated hosted experiences. They are usually a better fit when the team wants the vendor to own infrastructure and capacity from day one. InferCrane is differentiated by customer-controlled infrastructure, incremental adoption of existing endpoints, replaceable provider/runtime contracts, persisted operational decisions, and explicit qualification boundaries. It is not currently a managed-compute substitute.InferCrane and gateways
LiteLLM and OpenRouter solve different layers:- A user-managed LiteLLM gateway can translate and route among managed model APIs.
- OpenRouter can provide external model capacity through its hosted API.
- InferCrane manages stable endpoint identity, lifecycle state, revisions, infrastructure-backed deployments, rollout evidence, and bounded external overflow.
InferCrane and Kubernetes inference stacks
KServe, llm-d, NVIDIA Dynamo, and Kubernetes Gateway API provide powerful cluster-native serving and data-plane capabilities. InferCrane can use qualified infrastructure/runtime integrations while remaining the user-facing lifecycle and evidence layer. It does not build another Kubernetes operator or reimplement distributed serving.The decision shortcut
Choose a managed platform
You want the vendor to own compute and the fastest route to a hosted endpoint.
Choose a model API
You want to consume hosted models and do not need to operate weights or runtimes.
Choose Kubernetes-native
You already have a platform team and want cluster-native serving resources.
Choose InferCrane
You want to build or connect inference on your infrastructure with durable operations and evidence.
This comparison describes product categories, not a benchmark. Verify current vendor capabilities,
pricing, support, and deployment boundaries directly with each provider.