Conclusion
- For production, reliability and cost attribution matter more than the cheapest headline token price.
- A gateway is strongest when you need fallback, logs, budget caps, and multiple model families.
- Direct provider keys are still fine for simple single-model apps.
- Track cost per successful task, user, feature, and agent run before optimizing routing rules.
What to do next
- List every LLM call by feature, user, model, and expected monthly token volume.
- Pick a cheap primary route and at least one stronger fallback route.
- Require logs for prompt tokens, completion tokens, latency, status code, retries, and final model.
- Set budget alerts before enabling long-running agents or background jobs.
- Use OpenAI-compatible base_url settings so app code does not change when routes change.
Recommended paths
| Provider | Free / credits | Best for |
|---|---|---|
| OpenLLMAPI | Trial credit varies | One endpoint with routing, fallback, budget logs, and multi-model access |
| OpenRouter | Free/low-cost routes vary | Broad model shopping and simple multi-model access |
| DeepSeek | Signup/current credits vary | Low-cost primary route for coding and reasoning |
| Qwen | Signup credits vary | China-friendly long-context and coding fallback |
| Zhipu GLM | Signup tokens vary | Domestic GLM fallback and budget experiments |
Global developer checklist
- Confirm whether signup, billing, and API keys work from your country before writing production code.
- Prefer OpenAI-compatible endpoints when you may need to switch models, regions, or providers later.
- Test free credits with a real smoke prompt and record latency, error shape, streaming behavior, and quota burn.
- Keep at least one fallback route for provider outages, model deprecations, and regional access changes.
Production handoff
Put fallback and budgets behind one endpoint
Route low-cost models, escalate failures, and attribute spend by user, feature, app, or agent run with one OpenAI-compatible key.
FAQ
Do I need a gateway for a small app?
Not always. Start direct if one provider is stable and cost is visible. Add a gateway when fallback, logs, budget caps, or multi-provider routing become painful.
What cost metric should I track?
Track cost per successful task, not just cost per token. Include retries, failed JSON, timeouts, and manual rework.
Can a gateway reduce cost?
Yes, when it routes easy tasks to cheap models and only escalates failures to stronger models. It can also prevent runaway agent loops with budgets.
Is OpenAI compatibility enough?
No. Also test streaming, tool calls, JSON mode, embeddings, error shape, and rate-limit behavior.