Should I use an AI gateway or call model APIs directly?

It depends on your needs. Here’s the practical rule of thumb:

Use an AI gateway if you want:

• One integration for multiple model providers
  Easier to switch between OpenAI, Anthropic, Google, etc.
• Fallbacks and resilience
  Route around outages or rate limits automatically.
• Centralized logging, monitoring, and policy controls
  Helpful for compliance, cost tracking, and auditability.
• Prompt/version management and guardrails
  Useful if multiple teams are sharing the same AI stack.
• Cost optimization
  Some gateways can route to cheaper models based on task.

Call model APIs directly if you want:

• Maximum simplicity
  Fewer moving parts, less latency, fewer dependencies.
• Lower operational overhead
  No gateway to run, configure, or pay for.
• Full provider-specific control
  You can use the latest model features immediately.
• Early-stage prototyping
  Usually faster to get started.

A good decision framework

Choose a gateway if you have:

• Multiple models/providers
• Production workload
• Compliance/security requirements
• Need for observability and routing
• A team, not just a solo prototype

Choose direct API calls if you have:

• A single provider
• A small app or MVP
• Tight latency requirements
• Minimal ops budget
• A need to exploit provider-specific features quickly

Common hybrid approach

A lot of teams do this:

1. Start direct for speed.
2. Move to a gateway once:
   • you add a second provider,
   • you need reliability/observability,
   • or costs start mattering.

Short recommendation

• Startup MVP: direct APIs
• Growing production app: gateway
• Enterprise / multi-provider: gateway almost always

If you want, I can also give you a decision matrix, or recommend specific gateways based on your stack.