Do I need an inference gateway to switch providers?

Not necessarily.

If your app already talks to each model provider through a common abstraction layer, you can often switch providers directly without an inference gateway. But an inference gateway becomes useful when you want:

• One API for multiple providers
  So your app doesn’t care whether the request goes to OpenAI, Anthropic, Google, etc.

• Easier provider switching / fallback
  You can route traffic based on cost, latency, availability, or model quality.

• Centralized auth, logging, quotas, and retries
  Helpful for managing many apps or teams.

• Request/response normalization
  Different providers have different schemas and capabilities; a gateway can smooth that out.

You may not need a gateway if:

• You only use one provider
• You can tolerate updating your app when switching
• You already have your own internal abstraction layer
• You don’t need routing, failover, or observability features

A quick rule of thumb:

• Simple app / one provider → probably no gateway needed
• Multi-provider, production, or dynamic routing → gateway is worth considering

If you want, I can also compare:

1. direct provider integration vs gateway, or
2. common gateway options and when to use each.