In brief
- Verify model identity and resolution behavior.
- Compare actual task cost and contract limits.
- Demand observability and a practical exit path.
1–3: What model are you actually getting?
Ask whether IDs are stable aliases or versioned models, how upstream identity is disclosed, and what happens when a model is unavailable or retired. Test the live catalog rather than relying on a marketing screenshot.
4–6: How do limits and billing work?
Understand input, output, cached-token, tool, and subscription economics. Ask how usage is measured, where it is visible, and which limits are hard, soft, monthly, or prepaid.
7–9: Can your team operate it?
Inspect status history, error semantics, request tracing, usage exports, support response, and whether fallbacks are visible. Run a failure drill before making the provider critical.
10–12: What is the trust and exit contract?
Review data handling, retention, regional constraints, credential controls, and portability. Confirm that your application can change base URL and model configuration without a product rewrite.
| Area | Evidence |
|---|---|
| Catalog | Live model endpoint and resolved IDs |
| Reliability | Status surface and error contract |
| Economics | Usage records and current prices |
| Security | Data and credential controls |
| Portability | Documented API and export path |
Frequently asked
Questions, answered plainly.
What makes a multi-model API useful?+
It reduces integration and operating duplication while preserving meaningful model choice, observability, and a stable application boundary.
Should provider model counts be compared directly?+
No. Verify model identity, capability, availability, freshness, and whether the models matter for your workload.
How should providers be tested?+
Use the same task set, request conditions, and quality gates, then compare reliability, latency, total task cost, and operator experience.
Sources and next paths