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Choose a model for your task

Filter the current catalog by declared endpoint and task, run a small evaluation with your own examples, and choose from measured quality, latency, and live cost evidence.

Define the decision first

  • Write the task, required input/output shape, language, latency tolerance, and failure cost.
  • Choose the protocol your application already supports: Responses, Chat Completions, image, video, or another declared endpoint.
  • Prepare representative examples and a human-checkable pass condition.
json
{
  "task": "extract support ticket fields",
  "endpoint": "openai-response",
  "must_pass": ["valid JSON", "required fields", "no invented facts"],
  "measure": ["quality", "latency", "live request cost"]
}

Build a defensible shortlist

  1. Open the current catalog and filter by the exact declared endpoint your client will call.
  2. Read each candidate’s sourced description and live pricing; treat missing facts as unknown.
  3. Run the same small, representative evaluation set against each candidate when you accept possible billing.
  4. Record output quality, errors, latency, and observed cost under the same conditions.
  5. Select a primary model and a fallback only if both pass the required contract.

Use an evaluation checklist

DimensionWhat to record
Contract fitDeclared endpoint, required parameters, output parsing, and error handling.
Task qualityPass/fail against examples you reviewed, not a marketing ranking.
LatencyMedian and tail observations from the same region and request shape.
CostLive pricing plus actual usage records for the evaluation.
ReliabilityErrors and retry outcomes during your own test window.

Verify the expected decision

  • Every shortlisted model has the declared endpoint your integration uses.
  • The selected model passes all required examples, not merely the easiest prompt.
  • The choice document records observation date, test inputs, configuration, and measurable tradeoffs.

Avoid selection mistakes

  • Do not infer endpoint support from a familiar model name; use the current catalog declaration.
  • Do not compare models with different prompts, regions, output limits, or retry policies.
  • Do not turn a vendor benchmark into proof of GetAPI.ONE routing, price, availability, or your task quality.

Evaluate with safe data

Next steps