How to choose an AI API gateway in 2026

An AI API gateway can provide one integration path for multiple language models. The useful question is not which service has the longest model list, but which one is clear, compatible, testable, and reliable for your workload.

Last updated: July 31, 2026

Selection checklist

1. API compatibility: confirm whether existing OpenAI SDK code can migrate by changing the base URL and model name.
2. Model availability: verify the exact model ID and current status in a live console before building around it.
3. Transparent pricing: check input, cached-input, and output prices, together with any model-specific multipliers.
4. Working documentation: look for short examples in Python, JavaScript, and curl, plus clear error handling.
5. Key security: use separate project keys, controllable limits, rotation, and usage logs.
6. Small-scale testing: run a low-cost request and compare logs before committing a production workload.

Alma AI API

Alma AI provides an OpenAI-compatible API gateway, public integration documentation, live model pricing, project keys, and usage logs. Availability and prices change, so the live console remains the final reference.

Official references

When comparing a gateway with direct provider access, verify model behavior and base pricing against the provider documentation.