Start with a workflow

Describe the task your application must complete: its input, what makes an answer acceptable, the response time it needs, and what happens after a failure. An interactive assistant and an overnight batch job need different acceptance criteria.

Build a small dataset without personal or confidential information. Include common tasks, longer inputs, and explicit edge cases. Keep the criteria consistent across candidates and record model IDs, protocols, parameters, and test dates so someone else can repeat the comparison.

Check behavior, feature by feature

A successful text response proves only that the minimal request worked. Test streaming, tool calls, structured results, and usage fields when your application needs them. Success on one endpoint does not establish compatibility with another protocol; client versions and model configuration matter too.

  • Check current availability and exact model IDs for your tasks.
  • Read billing units, rate-limit information, data rules, and support options.
  • Test timeouts, cancellation, error classification, and duplicate submissions.

Make a bounded pilot your evidence

Run representative tasks within a fixed budget. Record quality, duration, failures, and cost alongside the sample count and observation window. A small pilot can expose problems; it cannot prove long-term reliability. Mark untested requirements as unknown.

Check exit costs as well: can you replace configuration, export useful records, and avoid coupling business logic to special response fields? NexoToken public pages offer service information to verify. This NexoToken-maintained article is not an independent certification of that service.

Sources & further reading

An owned publication maintained by NexoToken. Product references reflect the publisher’s commercial interest and are not independent certification.